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Data Engineer - Databricks

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Onsite

Data Engineer - Databricks

UMATR

Data Engineer - Databricks

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonDatabricksData AnalysisAWSPySparkAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Amsterdam, Netherlands

Work mode:

Onsite

Published on:

2 September 2026

What they need


We’re working with a European technology company undergoing a major data platform transformation and they’re looking for a senior Databricks Data Engineer to join the team on an initial 6-month freelance contract.

You’ll be coming into an environment where the data platform is being actively built and modernised, with Databricks at the centre of the architecture.

What you'll be working on

  • Designing and building scalable data pipelines within Databricks
  • Developing production-grade workloads using PySpark, Python and SQL
  • Working extensively with Delta Lake and Lakehouse architecture
  • Supporting the migration of existing workloads into Databricks
  • Optimising Spark workloads and improving pipeline performance
  • Building reliable ETL/ELT processes across large datasets
  • Working with Data Scientists, Analytics Engineers and Cloud Engineers
  • Implementing data quality, testing and monitoring
  • Contributing to the wider architecture and technical direction of the platform

We're looking for someone who has

  • 5+ years of experience in Data Engineering
  • Strong hands-on Databricks experience
  • Excellent PySpark / Python / SQL skills
  • Strong understanding of Delta Lake and Lakehouse architecture
  • Experience building and optimising production data pipelines
  • Experience working with Azure, AWS or GCP
  • Experience working within large-scale data environments
  • The ability to operate independently and hit the ground running

If this sounds like you, please apply with your latest CV and we will be in touch to discuss the role further.

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