Data Engineer

Head Resourcing Ltd
Glasgow, UK
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£65,000.0 - £75,000.0
Working hours
Regular working hours

Tech stack

Microsoft Azure Continuous Integration Database Queries Python (Programming Language) Power BI Azure Data Factory Microsoft Fabric Data Lakes Data Management Databricks

Job description

  • 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

Requirements

  • 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

Benefits & conditions

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.headresourcing.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Bringing diverse skills to industrial data science roles

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Managing traffic and tracking costs with Databricks Unity Catalog

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Moving the semantic layer upstream to avoid vendor lock-in

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The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

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Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

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Distributed data lakes and containerized computing clusters

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