Data Engineer jobs at Infosys Public Service - 66 jobs

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE Join our dynamic Insights & Data team-over 400 professionals delivering cutting-edge, data-driven solutions. We specialize in Cloud & Big Data engineering, building scalable architectures across AWS, Azure, and GCP. You'll be part of a team that manages the full Software Development Life Cycle (SDLC) using modern frameworks, agile methodologies, and DevOps best practices. YOUR TASKS * Develop and maintain data processing pipelines using Databricks and PySpark. * Collaborate with senior engineers and architects to implement scalable data solutions. * Work with cloud-native tools to ingest, transform, and store large datasets. * Ensure data quality, consistency, and security in cloud environments. * Participate in code reviews and contribute to continuous improvement initiatives. YOUR PROFILE * You have hands-on experience in data engineering and are comfortable working independently on moderately complex tasks. * You've worked with Databricks and PySpark in real-world projects. * You're proficient in Python for data transformation and automation. * You've used at least one cloud platform (AWS, Azure, or GCP) in a production environment. * You communicate clearly and confidently in English. Nice to Have * Solid SQL skills and understanding of data modeling. * Exposure to CI/CD pipelines, Terraform, or other DevOps tools. * Familiarity with streaming technologies (e.g., Kafka, Spark Streaming). * Knowledge of cloud data storage solutions (e.g., Data Lake, Snowflake, Synapse). * Relevant certifications (e.g., Databricks Certified Data Engineer Associate). WHAT YOU'LL LOVE ABOUT WORKING HERE * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card. . GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE Join our Insights & Data team, a community of over 400 professionals delivering impactful, data-driven solutions. We specialize in building scalable cloud-native data architectures and pipelines that power analytics and machine learning across various industries. Our work spans the full Software Development Life Cycle (SDLC), using modern data frameworks, agile practices, and DevOps principles. YOUR TASKS * Design and implement solutions for processing large-scale and unstructured datasets (Data Mesh, Data Lake, or Streaming Architectures). * Develop, optimize, and test modern DWH/Big Data solutions based on the AWS cloud platform within CI/CD environments. * Improve data processing efficiency and support migrations from on-premises systems to public cloud platforms. * Collaborate with data architects and analysts to deliver high-quality cloud-based data solutions. * Ensure data quality, consistency, and performance across AWS services and environments. * Participate in code reviews and contribute to technical improvements. YOUR PROFILE * Proven experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets, across various phases of the SDLC. * Hands-on experience with the AWS cloud, including Storage, Compute (and Serverless), Networking, and DevOps services. * Solid understanding of AWS services, ideally supported by relevant certifications. * Familiarity with several of the following technologies: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark. * Basic proficiency in at least one of the following programming languages: Python, Scala, Java, or Bash. * Very good command of English (German language skills would be an advantage). Nice to Have * Experience with orchestration tools (e.g., Airflow, Prefect). * Exposure to CI/CD pipelines and DevOps practices. * Knowledge of streaming technologies (e.g., Kafka, Spark Streaming). * Experience working with Snowflake or Databricks in a production or development environment. * Relevant certifications in AWS, data engineering, or big data technologies. WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE Join our growing Insights & Data team-over 400 professionals delivering advanced, data-driven solutions. We specialize in Cloud & Big Data engineering, building scalable data architectures on AWS. We manage the full Software Development Life Cycle (SDLC) using modern frameworks, agile methodologies, and DevOps best practices. YOUR TASKS * Design and build data pipelines using AWS services and PySpark. * Process large-scale datasets efficiently and reliably. * Collaborate with architects and team members to implement scalable data solutions. * Ensure data quality, consistency, and security in cloud environments. * Participate in code reviews and contribute to continuous improvement efforts. YOUR PROFILE * You have hands-on experience in data engineering and can independently handle moderately complex tasks. * You've worked with PySpark in distributed data processing scenarios. * You are familiar with AWS data services such as S3, Glue, EMR, Lambda, Redshift, or similar. * Experience working with additional major cloud platform (Azure, or GCP) * You are proficient in Python for ETL and automation tasks. * You communicate clearly and confidently in English. Nice to Have * Strong SQL skills and understanding of data modeling. * Exposure to CI/CD pipelines, Terraform, or CloudFormation. * Familiarity with streaming technologies like Kafka or Kinesis. * AWS certifications WHAT YOU'LL LOVE ABOUT WORKING HERE * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR PROJECT Join our Insights & Data team, delivering cutting-edge, cloud-native data solutions for clients across industries such as finance, logistics, automotive, and telecom. Our projects focus on Azure-based data engineering, leveraging services like Microsoft Fabric, Synapse, Data Factory, and Azure AI. We work end-to-end-from designing data architectures and building ETL/ELT pipelines to integrating with downstream systems and visualizing data. You'll collaborate with AI and Data Science teams to bring GenAI, NLP, and RAG solutions into production environments. YOUR TASKS * Design and develop scalable data solutions in Azure using Microsoft Fabric * Build and optimize data pipelines (ETL/ELT) with Azure Data Factory, Synapse, Dataflows, and Pipelines * Integrate data from various structured and unstructured sources * Collaborate with AI/ML teams to implement GenAI and NLP models * Create and manage data models and data warehouses * Ensure data quality, security, and compliance * Document data architectures and processing workflows * Contribute to CI/CD and DevOps practices for data environments YOUR PROFILE * Hands-on experience with Azure data services, including Microsoft Fabric (Data Factory, Synapse, OneLake, Notebooks, Pipelines) * Strong skills in SQL and Python for data processing and transformation * Solid understanding of data modeling, warehousing, and big data processing * Familiarity with Azure AI and Cognitive Services * Ability to work closely with development and analytics teams * Proficient in English (B2 or higher) Nice to have * Exposure to GenAI, LLMs, and Retrieval-Augmented Generation (RAG) * Knowledge of TypeScript/JavaScript * Experience with DevOps and CI/CD tools (e.g., Azure DevOps, GitHub Actions) * Understanding of data governance and data security best practices * Azure certifications (e.g., DP-203, AI-102) WHAT YOU'LL LOVE ABOUT WORKING HERE * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions. We are looking for an ambitious Senior Data Visualization Engineer with expertise in Power BI both as a developer and administrator. Join our Data Management Services team to tackle exciting challenges in projects for international clients across diverse industries. This role goes beyond technical skills-it involves direct collaboration with external clients, building strong partnerships, and ensuring the successful delivery of projects. We value honesty, open communication, and effective teamwork. If you thrive on leading diverse teams and contributing to an open, collaborative environment, we want you on board! YOUR TASKS * Collaborate with stakeholders to gather requirements and translate them into effective dashboard solutions using UI/UX. * Design, develop, and implement interactive and visually appealing Power BI dashboards. * Ensure a full testing for reports and dashboards. * Optimize reports for performance and ensure they meet user requirements. * Manage and administer using services, including workspace management, data gateway configuration, and user access control. * Monitor system performance, troubleshoot issues, and ensure high availability and reliability of the Power BI environment. * Implement best practices for security, data governance, and compliance within Power BI. * Integrate data from multiple sources, including both On prem and cloud-based data sources like SQL, Oracle, Mainframe, Hadoop databases, files, O365 sources. * Develop and manage ETL processes to ensure data accuracy, consistency, and reliability. * Create and manage semantic models to centralize and standardize data for use across multiple reports and dashboards. * Participate in code reviews and provide feedback to ensure high-quality deliverables * Support the users in their development and usage of the Reporting tools. Frequently used technologies: * Power BI * SQL * Python * Cloud Data Services: AWS / Azure / GCP YOUR PROFILE * Strong experience in Microsoft Power BI * You have technical skills and a good business understanding/interest. * You master Power BI and in particular the Cloud edition (Strong proficiency in DAX and Power Query) * Good knowledge of Aure Synapse, Power Platform stacks * Experience with Power BI administration, including workspace management and security settings. * Proficiency in SQL and experience with integrating data from various sources. * You can model data using Kimball, Dimensional modelling and Data Vault * Experience with Cognos BI reporting is a plus * Knowledge of Business Intelligence methodology and agile development methods such as SCRUM is clearly an asset. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Ability to manage multiple tasks and prioritize effectively. WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TASKS * Collaborating with data scientists and software engineers to integrate (Gen) AI models into business applications, such as conversational chatbots and analytics. * Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain * Implementing Azure Cognitive Services for natural language processing and other AI functionalities * Designing and managing efficient database schemas to meet application data requirements * Performing database tuning and query optimization to ensure high performance * Working closely with cross-functional teams to understand business requirements and translate them into technical solutions * Documenting data workflows, processes, and architectures * Ensuring that all data solutions adhere to security and compliance standards, including data encryption and access controls YOUR PROFILE * Proven experience with Microsoft Azure DevOps environment and services, including Azure Synapse Analytics, SQL Dedicated Pool, and container distribution using Argo CD. * At least 3 + years experience in data engineering, with a focus on building and managing ETL pipelines in environments that utilize Oracle, PostgreSQL, and Azure Synapse. * Hands-on experience with Kubernetes for container orchestration and management. * Strong experience in using Jenkins and Nexus for continuous integration and continuous deployment (CI/CD) pipelines. * Strong problem-solving and analytical skills, particularly in optimizing database performance and managing distributed systems. * Good communication and collaboration skills, especially when working across cross-functional teams. * Familiarity with Azure Cognitive Services and other AI/ML frameworks in cloud-based architectures. * Solid understanding of DevOps practices, including container management, automated testing, and deployment processes. WHAT YOU'LL LOVE ABOUT WORKING HERE * Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Perficient currently has a career opportunity for a Lead Databricks Data Engineer to join our team located in the United States. This role is primarily office-based at a local Perficient location, with travel and on-site client engagements expected as needed. Job Overview As a Lead Databricks Data Engineer, you are expected to lead the development team and have strong development and programming skills in Python, SQL, PySpark, Databricks, Notebook Repositories, Medallion Architecture, CI/CD, and ETL platforms associated with Data Lakehouse solutions. You are expected to be experienced and fluent in agile development and agile tools. You will work with architects and infrastructure teams to develop, test, deploy, and troubleshoot your code as well as provide input into solutions and design of the system. You will collaborate with some of the best talent in the industry to create and implement innovative, high-quality solutions focused on our clients' business needs. Perficient is always looking for the best and brightest talent, and we need you! We're a quickly growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Passionate developer with 8+ years of data engineering experience, with at least 3 years in a lead or senior data engineer role. Minimum 5 years of hands-on Databricks experience using Python, SQL, Pyspark, Notebook Repositories (medallion architecture L2, L3, L4), CI/CD. Minimum 5 years of Databricks experience in developing large-scale data processing/data storage/data distribution systems. Experience with AWS and/or Azure cloud environment. Experience with various Notebook Repositories (medallion architecture L2, L3, L4) as well as unit testing frameworks. DevOps experience with Databricks CI/CD (Databricks Asset Bundles) and Git Minimum 5 years of experience working in a large multi-vendor environment with multiple teams as a part of a project Minimum 5 years of working with a complex Big Data/Lakehouse environment Minimum of 5 years of experience with JIRA/GitHub/Git and other code management toolsets Experience with ELT/ETL development, patterns, and tooling is recommended Experience with SQL, including Postgres, RDBMS platforms Experience with various IDE and code repositories as well as unit testing frameworks. Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution. Familiarity with AI-enhanced platforms is a plus. A solid understanding of AI capabilities and limitations, including ethical considerations, is expected. Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments. Ability to produce high-quality products within deadlines Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Preferred Skills & Education: Certification in Databricks, Spark, AWS, Azure, or other cloud platforms. Experience with ETL/ELT data platforms, including Informatica, DataStage, Fivetran, Matillion, and dbt. Familiarity with ML capabilities such as MLflow, TensorFlow, or Scikit-learn is a plus. Master's degree in Computer Science or related field. Client-facing or consulting experience is highly preferred. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Applications will be accepted until the position is filled or the posting is removed. The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $73,008 to $149,880. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview. #LI-PS1 Lead the technical planning and requirements gathering. Serve as a technical lead and mentor. Provide technical support and leadership in the development and continual improvement of service. Develop and maintain effective working relationships with team members. Demonstrate the ability to adapt and work with team members of various experience levels. Work with the data engineering team to define and develop data ingestion, validation, transformation, and data engineering code. Lead the design, development, testing and deployment of scalable batch/streaming data pipelines using Databricks. Data jobs include data ingestion, cleansing, transformation, aggregation, governance, and sharing. Define and enforce best practices for Databricks usage, including notebook development, job orchestration, metadata-driven frameworks, data quality checks, and optimization of spark job performance. Develop Databricks platform components using Python, SQL, Pyspark, Notebook Repositories (medallion architecture L2, L3, L4), and CI/CD. Integrate Databricks solutions with cloud platforms like Azure (ADF, ADLS, Event Hub, Azure DevOps) or AWS (S3, Lambda, Glue). Design and implement analytical data models and star schemas for BI and AI usage. Collaborate with data scientists and analysts to meet data requirements. Implement logging, monitoring and exception handling for data workflows. Participate in code reviews and CI/CD pipeline development. Document code artifacts and participate in developing user documentation and run books Troubleshoot deployment to various environments and provide test support. Participate in design sessions, demos, and prototype sessions, testing and training workshops with business users and IT associates.

Perficient currently has a career opportunity for a Senior Azure Data Engineer to join our team located in the United States. This role is primarily office-based at a local Perficient location, with travel and on-site client engagements expected as needed. Job Overview A Senior Azure Data Engineer at Perficient designs, builds, and maintains data pipelines and solutions using Azure services like Azure Data Factory, Synapse, and Databricks. Responsibilities include collaborating with teams, ensuring data quality and security, mentoring junior engineers, and architecting scalable data solutions to meet client needs. Key skills required include a strong knowledge of SQL, ETL/ELT processes, data modeling, and experience with modern technologies such as dbt and Microsoft Fabric. Perficient is always looking for the best and brightest talent, and we need you! We're a quickly-growing, global digital consulting leader, and we're transforming the world's largest enterprises and biggest brands. You'll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Passionate developer with 8+ years of data engineering experience, with at least 3 years in a lead or senior data engineer role. Minimum 5 years as an Azure Data Engineer, with experience in developing large-scale data processing/data storage/data distribution systems. Expertise in Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake (ADLS). Proficiency in SQL and Python is essential. Experience with Spark is also highly valuable. Knowledge of data modeling, including dimensional modeling and schemas like Bronze, Silver, and Gold, is often expected. Experience with related tools and concepts like CI/CD automation (e.g., Azure DevOps), data governance (e.g., Microsoft Purview), and specific platforms like dbt or Microsoft Fabric is beneficial. Minimum 5 years of experience working in a large multi-vendor environment with multiple teams as a part of a project Minimum of 5 years of experience with JIRA/GitHub/Git and other code management toolsets Experience with ELT/ETL development, patterns, and tooling is recommended Experience with SQL, including Postgres, RDBMS platforms Experience with various IDEs and code repositories as well as unit testing frameworks. Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution. Familiarity with AI-enhanced platforms is a plus. A solid understanding of AI capabilities and limitations, including ethical considerations, is expected. Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments. Ability to produce high-quality products within deadlines Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Preferred Skills & Education Certification in Azure is preferred. Experience with ETL/ELT data platforms, including Informatica, DataStage, Fivetran, Matillion, and dbt. Client-facing or consulting experience is highly preferred. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Applications will be accepted until the position is filled or the posting is removed. The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $73,008 to $149,880. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential variable compensation programs. Information regarding the benefits available for this position are in our benefits overview. #LI-PS1 Design and architect solutions: Lead the design and implementation of scalable and secure data architectures on Azure, leveraging services like Azure Data Factory, Synapse Analytics, and Databricks. Develop data pipelines: Build, test, and maintain data pipelines to ingest, transform, and load data. This may involve using technologies like Data Build Tool (dbt) and Microsoft Fabric. Ensure data quality and governance: Implement and maintain data quality, integrity, and security policies, utilizing tools such as Microsoft Purview or Unity Catalog. Collaborate with teams: Work with data scientists, analysts, and business stakeholders to understand their data needs and build fit-for-purpose data assets. Support project lifecycle: Participate in technical planning, requirements gathering, and delivery of complex projects. Mentor and lead: Provide technical guidance and architectural leadership to junior engineers. Monitor and optimize: Troubleshoot and monitor data systems to ensure optimal performance and make data-driven recommendations.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Requirements: Advanced English skills (B2+). Experience in ETL and Azure tools: A minimum of 2-5 years of experience in developing ETL processes using Azure Data Factory, Azure Databricks, and other Azure cloud tools. Knowledge of Apache Spark and Databricks: Experience using Apache Spark for distributed data processing and knowledge of Databricks for data integration and transformation. Proficiency in Python and SQL: Advanced skills in Python for automating processes and manipulating data, along with a strong understanding of SQL for querying and transforming data. Handling large volumes of data: Ability to manage, transform, and optimize large volumes of data using cloud platforms and processing technologies like Spark. Teamwork and communication: Collaborative skills with multidisciplinary teams and effective communication ability to interact with both technical and non-technical stakeholders. Responsabilities: Develop and maintain efficient ETL pipelines using Azure Data Factory and Databricks to process and transform large datasets for analysis. Analyze large datasets and build machine learning models using Python and Spark to extract actionable insights and solve business problems. Utilize Apache Spark to process and analyze large volumes of data in a distributed environment, ensuring scalability and performance. Deploy machine learning models to production using Azure and Databricks, and monitor their performance for continuous improvement. Work closely with cross-functional teams (data engineers, business analysts, etc.) to understand requirements and communicate insights and results effectively to stakeholders. What You´ll Love About Working Here: We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Out array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certification in the latest technologies. #LI-Remote #LI-LG8 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TASKS * Design and implement robust data pipelines using PySpark. * Process and transform large datasets efficiently in distributed environments. * Collaborate with data architects and analysts to deliver high-quality data solutions. * Ensure data quality, consistency, and performance across systems. * Participate in code reviews and contribute to technical improvements. YOUR PROFILE * You have hands-on experience in data engineering and can independently handle moderately complex tasks. * You are proficient in PySpark and understand distributed data processing. * You are comfortable working with Python for data transformation and automation. * You have experience with relational and/or NoSQL databases. * You communicate clearly and effectively in English. Nice to Have * Familiarity with cloud platforms (AWS, Azure, or GCP). * Solid SQL skills and understanding of data modeling. * Experience with orchestration tools (e.g., Airflow, Prefect). * Exposure to CI/CD pipelines and DevOps practices. * Knowledge of streaming technologies (e.g., Kafka, Spark Streaming). * Experience working with Databricks in a production or development environment. * Relevant certifications in data engineering or big data technologies. WHAT YOU'LL LOVE ABOUT WORKING HERE * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. * Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI * Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now! #LI-AS3

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TEAM Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. YOUR TASKS * design, develop, and maintain Snowflake data pipelines to support various business functions; * collaborate with cross-functional teams to understand data requirements and implement scalable solutions; * optimize data models and schemas for performance and efficiency; * ensure data integrity, quality, and security throughout the data lifecycle; * implement monitoring and alerting systems to proactively identify and address issues; * plan and execute migration from on-prem data warehouses to Snowflake; * develop AI, ML and Generative AI solution; * stay updated on Snowflake best practices and emerging technologies to drive continuous improvement. YOUR PROFILE * at least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and/or unstructured datasets (including at least 1 year of hands-on Snowflake experience); * understanding of Snowflake's pricing model and cost optimization strategies for managing resources efficiently; * experience in designing and implementing data transformation pipelines natively with Snowflake or Service Partners; * familiarity with Snowflake's security model; * practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps area supported by commercial project work experience; * at least basic knowledge of SQL and one of programming languages: Python/Scala/Java/bash; * very good command of English. WHAT YOU'LL LOVE ABOUT WORKING HERE? * Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform; * Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB * Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you will be helped and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TEAM Insights & Data is a team of over 400 specialists delivering high-quality, data-centric solutions. We focus on Cloud & Big Data engineering, designing and implementing scalable architectures across AWS, Azure, and GCP. Our expertise spans the entire Software Development Life Cycle (SDLC), employing advanced programming techniques, DevOps methodologies, and Infrastructure as Code (IaC) practices. YOUR TASKS * Automate the deployment and management of cloud-based data platforms using Infrastructure as Code (IaC). * Develop and maintain CI/CD pipelines to streamline data engineering workflows and deployments. * Optimize system reliability, scalability, and security by implementing DevOps best practices. * Monitor, troubleshoot, and enhance cloud-based data infrastructure to ensure high availability and performance. YOUR PROFILE * At least 3 years of experience in a similar role, including 1+ year working with cloud platforms. * Strong experience in Python or another programming language. * Hands-on experience with DevOps methodologies, especially Infrastructure as Code (Terraform, Bicep). * Very good communication skills and strong English language skills. Nice to have: * Experience with CI/CD pipelines and automation tools. * Familiarity with cloud data services such as Data Lake, Snowflake, or Synapse. * Knowledge of containerization (Docker, Kubernetes) and cloud security best practices. * Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, or GCP Professional Data Engineer. Join our team and help shape the future of data platform engineering! Apply now! WHAT YOU'LL LOVE ABOUT WORKING HERE * Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Award-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%! * Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TEAM Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. YOUR TASKS * designing and implementing Azure Data solutions for handling extensive and/or unstructured datasets; * utilizing Azure Databricks and other services for advanced data processing, analytics, and machine learning tasks, optimizing performance and scalability; * collaborating with solution architects to establish and promote data engineering best practices and standards within the Azure ecosystem; * implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment; * data processing efficiency improvement, migrations from on-prem to public cloud platforms; * mentoring and guiding junior data engineers in Azure-specific technologies, fostering a culture of continuous learning. YOUR PROFILE * strong experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle); * practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience; * very good knowledge of Python and SQL; * practical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400); * experience with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, API Azure, Azure Function, Power BI; * very good command of English. WHAT YOU'LL LOVE ABOUT WORKING HERE? * Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform; * Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB * Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. #LI-KO1 ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TASKS You will be responsible for designing, building, and maintaining our data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization. Design, build, and maintain our data infrastructure, including data pipelines, warehouses, and databases * Ensure data quality and integrity by implementing data validation, testing, and monitoring processes * Collaborate with cross-functional teams to understand data needs and translate them into technical requirements * Develop and implement data security and privacy policies and procedures * Optimize data processing and storage performance, ensuring scalability and reliability * Stay up-to-date with the latest data engineering trends and technologies YOUR PROFILE * 3+ years of experience in data engineering * Strong knowledge of data engineering tools and technologies, including SQL, and GCP * Experience with big data processing frameworks, such as Spark or Hadoop * Experience with data warehousing solutions : BigQuery, GCP, Dataform and Composer * Strong data security and privacy knowledge and experience * Experience with agile development methodologies is a plus WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Award-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%! GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TEAM: Insights & Data practice delivers cutting-edge data centric solutions. Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP. We are responsible for full SDLC of the solution: apart from using data processing tools (e.g., ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards. Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision. Additionally, we are exploring the area of Quantum Computing, searching for practical growth opportunities for both us and our clients. Currently, over 250 of our Data Architects, Engineers and Scientists work on exciting projects for over 30 clients from different sectors (Financial Services, Logistics, Automotive, Telco and others) Come on Board! YOUR TASKS: * design and implementation of solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture); * implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud platform and Continuous Delivery / Continuous Integration environment; * data processing efficiency improvement, migrations from on-prem to public cloud platforms. YOUR PROFILE: * at least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle); * practical knowledge of the Azure cloud in Storage, Compute (+Serverless), Networking and Devops areas supported by commercial project work experience; * theoretical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example DP-900, DP-200/201, AZ-204, AZ-400); * familiarity with several of the following technologies: Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, API Azure, Azure Function, Power BI; * at least basic knowledge of one of this programming languages: Python/Scala/Java/Bash; * very good command of English (German language would be an advantage). WHAT YOU'LL LOVE ABOUT WORKING HERE: Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform; Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of nearly 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 2022 global revenues of €22 billion. Get the Future You Want | *****************

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TEAM Insights & Data is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions. Come on Board! YOUR TASKS * Design and implement Azure-based data solutions for large-scale and unstructured datasets. * Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake. * Collaborate with solution architects to define and implement best practices in data engineering. * Ensure data quality, scalability, and security across all Azure-based solutions. YOUR PROFILE * Strong experience in data engineering, including working with Azure * Strong Python for data processing and automation. * Hands-on experience with one of the following: Databricks, Snowflake, or Microsoft Fabric. * Strong communication skills and very good English language skills. Nice to have: * Strong SQL skills and experience with database optimization. * Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools (Terraform, Bicep). * Familiarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, Azure Functions. * Exposure to containerization (Docker, Kubernetes) and cloud security best practices. * Experience in real-time data processing and streaming technologies like Kafka or Spark Streaming. * Hands-on experience with PySpark. * Certifications such as DP-900, DP-203, AZ-204, or AZ-400. WHAT YOU'LL LOV ABOUT WORKING HERE * Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform; * Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB * Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now! #LI-KO1

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR PROJECT Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions. YOUR TASKS * Design and implement data processing solutions using Databricks for large-scale and diverse datasets. * Design, build, and enhance data pipelines with Python and cloud-native tools. * Work closely with solution architects to define and uphold best practices in data engineering. * Ensure data consistency, security, and scalability within cloud-based environments. YOUR PROFILE * Strong experience in data engineering, with at least 1 year of hands-on Databricks expertise. * Strong experience in Python for automation and data transformation. * Experience working with at least one major cloud platform (AWS, Azure, or GCP). * Strong communication skills and strong English language skills. Nice to have: * Solid understanding of SQL with experience in query optimization and data modeling. * Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep). * Experience with real-time data streaming technologies such as Kafka or Spark Streaming. * Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse. * Hands-on experience with PySpark for distributed data processing. * Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications. WHAT YOU'LL LOVE ABOUT WORKING HERE * Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast 'Let's talk about wellbeing' which you can listen to on Spotify. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Award-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%! * Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

**About the job:** Key Responsibilities Architect and design end-to-end data solutions using Palantir Foundry, including ontology modeling, pipeline development, and operational workflows. Collaborate with business and technical teams to translate requirements into scalable data models and applications. Lead the integration of diverse data sources (structured and unstructured) into Foundry, ensuring data quality, lineage, and governance. Develop and enforce best practices for data modeling, pipeline orchestration, and application deployment within the Palantir ecosystem. Provide technical leadership and mentorship to junior developers and engineers working on Palantir projects. Partner with security and compliance teams to ensure data privacy, access control, and regulatory compliance. Stay current with Palantir platform updates and emerging technologies to continuously improve solution design and performance. Required Qualifications Bachelor-s or Master-s degree in Computer Science, Engineering, Data Science, or a related field. 3+ years of experience working with Palantir Foundry, including ontology design, code repositories, and pipeline development. Strong understanding of data architecture, ETL/ELT processes, and cloud platforms (e.g., AWS, Azure, GCP). Proficiency in Python, PySpark, SQL, Experience with data governance, security models, and access control in enterprise environments. Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications Palantir Foundry certification or equivalent hands-on experience. Experience in defense, aerospace, healthcare, or government sectors. Familiarity with DevOps practices, CI/CD pipelines, and agile methodologies. Knowledge of AI/ML integration within Palantir workflows. Familiarity with JavaScript or TypeScript. **Life at Sogeti** - Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: + Flexible work options + 401(k) with 150% match up to 6% + Employee Share Ownership Plan + Medical, Prescription, Dental & Vision Insurance + Life Insurance + 100% Company-Paid Mobile Phone Plan + 3 Weeks PTO + 7 Paid Holidays + Paid Parental Leave + Adoption, Surrogacy & Cryopreservation Assistance + Subsidized Back-up Child/Elder Care & Tutoring + Career Planning & Coaching + $5,250 Tuition Reimbursement & 20,000+ Online Courses + Employee Resource Groups + Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being + Disaster Relief Programs **About Sogeti** Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation. **Become Your Best** | ************* **Disclaimer** Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is [110 to 125k]. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company-s sole discretion, consistent with the law. Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TASKS * Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. * Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. * Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. * Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. * Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. * Ensure best practices in AI/ML model development, including versioning, testing, and validation. YOUR PROFILE * Proven experience (4-6 years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. * Extensive experience with machine learning algorithms, model development, and deployment. * Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras. * Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. * Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. * Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. * Proficiency in programming languages such as Python, R, and Java. WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Award-Winning Stability & Culture: Become part of an organization celebrated as 'Top Employer Poland 2024' - in the audit our stable and supportive work environment scored 100%! GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!