Senior Data Engineer

Head Resourcing

Senior Data Engineer

Glasgow | £60,000 - £70,000 + Excellent Benefits | On-site

Ready to take ownership of a modern data platform and shape how data powers business decisions?

We're seeking a Senior Data Engineer to play a pivotal role in the ongoing development of a large-scale Azure and Databricks data estate. This is a genuinely hands-on position where you'll spend your time building pipelines, modelling data, solving complex engineering challenges, and driving best practice across the platform.

What you'll be doing

  • Designing, building and optimising Databricks pipelines and jobs
  • Creating scalable Delta Lake solutions using Medallion architecture
  • Developing and maintaining Azure Data Factory pipelines
  • Owning data models across bronze, silver and gold layers
  • Driving CI/CD, deployment and release processes through Azure DevOps
  • Monitoring performance, reliability and cost across critical data workloads
  • Supporting the delivery of data into Microsoft Fabric and OneLake environments

What we're looking for

  • Strong commercial experience with Databricks in production environments
  • Excellent data modelling and architecture skills
  • Expertise in Delta Lake and Medallion design principles
  • Azure Data Factory experience, including parameterised and environment-driven pipelines
  • Strong SQL skills plus Python and/or Scala
  • Experience delivering enterprise-scale data platforms and engineering solutions

Nice to have

  • Microsoft Fabric and OneLake experience
  • CI/CD and Infrastructure as Code exposure
  • Unity Catalog knowledge
  • Azure or Databricks certifications
  • Experience working alongside Power BI teams

What's on offer?

  • Salary up to £75,000
  • Private healthcare
  • Enhanced pension scheme
  • Life assurance
  • The opportunity to become the technical lead within a growing data function and have a direct impact on the future of the platform.

If you're a Senior Data Engineer who enjoys ownership, autonomy and building robust data solutions with Azure and Databricks, we'd love to hear from you.

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