Details:
- Salary: £65,000 - 75,000 - Annum
- Job Type: Permanent
- Job Status: Full-Time
- Salary Per: Annum
- Location: Glasgow
- Date: 17 hours ago
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
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 environmentsWhat 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 solutionsNice 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 teamsWhat'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