Data Engineer (AWS)

Expected, Snowflake Data Cloud, Docker, Terraform, Kafka, Apache Airflow, Apache Spark, Python, Scala, Java, Bash, AWS, Amazon S3

Optional, Apache Airflow, Kafka, Apache Spark, Snowflake Data Cloud, Databricks, Terraform, Docker, Python, Scala, Java, Bash, AWS

About the project, 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 responsibilities, 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.

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).

Optional, 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 we offer, 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.

Benefits, sharing the costs of sports activities, private medical care, life insurance, no dress code, parking space for employees, extra social benefits, redeployment package, employee referral program, charity initiatives, access to courses e.g. Excel, VBA, RPA, Customer Care, unlimited access to Udemy Business, free chat/call with a therapist

Recruitment stages, Interview with the recruiter, Competency Tests/Language Verification, Video call with a manager, Final Decision

Capgemini Polska , Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

This is how we work,