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Data Engineer - Databricks

Skills

analyticsawsazureclouddata engineeringdata pipelinesdata qualitydatabricksdelta lakegcplakehousepysparkpythonsparksqlPythonAWSGCPAzureSparkSQL

Description

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.

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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
  • 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 xgiwjmb experience
  • 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

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