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Capgemini Polska

Data Engineer (AWS)

Capgemini Polska Show all offers
Hybrid
Mid
Gdańsk
Warszawa
Wrocław
Kraków
+1
Expires Nov 15, 2026
20 days ago

In short

Data Engineer (AWS) role at Capgemini Polska. Design, implement, and optimize Big Data solutions on AWS. Requires AWS experience, familiarity with Glue, Redshift, Spark, and Python/Scala/Java. Offers hybrid work, training, and benefits.

Keywords

aws big data data mesh data lake streaming architectures dwh ci/cd terraform docker python

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Technologies we use

About the project

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.

Our requirements

  • 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
Published 2026-10-16
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