Quick Overview
Job Description
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<br />Creating scalable Delta Lake solutions using Medallion architecture<br />Developing and maintaining Azure Data Factory pipelines<br />Owning data models across bronze, silver and gold layers<br />Driving CI/CD, deployment and release processes through Azure DevOps<br />Monitoring performance, reliability and cost across critical data workloads<br />Supporting the delivery of data into Microsoft Fabric and OneLake environmentsWhat we're looking for Strong commercial experience with Databricks in production environments<br />Excellent data modelling and architecture skills<br />Expertise in Delta Lake and Medallion design principles<br />Azure Data Factory experience, including parameterised and environment-driven pipelines<br />Strong SQL skills plus Python and/or Scala<br />Experience delivering enterprise-scale data platforms and engineering solutionsNice to have Microsoft Fabric and OneLake experience<br />CI/CD and Infrastructure as Code exposure<br />Unity Catalog knowledge<br />Azure or Databricks certifications<br />Experience working alongside Power BI teamsWhat's on offer?
Salary up to £75,000<br />Private healthcare<br />Enhanced pension scheme<br />Life assurance<br />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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