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Capgemini Polska

Data Engineer (AWS)

Capgemini Polska Усі вакансії
Гібридно
Mid
Poznań
Wrocław
Warszawa
Kraków
+1
Діє до 4 жов 2026
14 днів тому

Коротко

Data Engineer (AWS) role in Poznań. Responsibilities include processing large datasets on AWS, optimizing DWH/Big Data solutions, and collaborating with teams. Requires AWS experience, Big Data/Cloud project background, and Python/Scala/Java/Bash. Hybrid work model.

Стислий виклад підготував ШІ на основі тексту оголошення.

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

Опубліковано 2026-09-04
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