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Michael Bailey Associates GmbH

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Data Engineer

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Summary

Data Engineer building and optimizing scalable data pipelines with Python and SQL, plus data modelling, warehousing, CI/CD and data quality on a cloud platform (Azure, AWS or GCP). Joins a cross-discipline team (Data, Software, Platform, DevOps) at an international organization, hybrid in the Dutch Randstad.

We're currently looking for an enthusiastic Data Engineer to join an international organization that's building a modern data platform, where Data, Software, Platform and DevOps engineers work closely together.

The cross-competence setup means more variety in your work, exposure to different technologies and the opportunity to learn from engineers outside your own specialism. You'll also have the freedom to experiment with new tools, approaches and ideas, and turn good ones into real solutions.

What you'll work on

  • Building and optimizing scalable data pipelines with Python & SQL
  • Data modelling, warehousing and integration
  • CI/CD, automation and data quality
  • Contributing to architecture and technical decisions
  • Working closely with engineers across different competencies

What you bring

  • 4+ years of Data Engineering experience
  • Experience with ETL/ELT and data modelling
  • Experience with Azure, AWS or GCP
  • You enjoy taking ownership, solving problems and figuring things out

Nice to have

  • Databricks / PySpark
  • Django or backend development
  • Monitoring, logging or data governance experience

What's in it for you?

  • Real variety across different technical disciplines
  • Learn from experienced engineers across Software, Platform & DevOps
  • Freedom to experiment and try new things
  • The opportunity to turn ideas and POCs into real solutions
  • Genuine ownership over the solutions you build
  • A strong environment for technical growth and continuous learning
  • Hybrid working in the Randstad

Skills

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See also

Data Engineering jobs by country — openings, pay and top skills →

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