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Data Engineer — Databricks Lakehouse Azure

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Arthur Recruitment
Seasonal/Temporary position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager
  • Engineering
    Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer — Databricks Lakehouse on Azure
Location: Greater London

Data Engineer | Databricks | Azure | Building a Modern Data Platform

We’re partnering with a highly innovative technology business within the insurance space that is continuing to invest heavily in its data platform capability.

They’re looking for a Data Engineer to play a key role in the development and evolution of a modern Databricks-based Lakehouse environment, helping shape how data is engineered, governed, and consumed across the organisation.

The opportunity

You’ll be working across the full data lifecycle, designing and optimising pipelines that support analytics, reporting, and wider business decision-making.

Alongside hands-on engineering, you’ll contribute to the ongoing development of a scalable cloud-native data architecture, helping ensure data is reliable, accessible, and built for long-term growth.

What they’re looking for

Core experience

  • Strong background in data engineering fundamentals, including warehousing, data lakes, and data modelling
  • Hands-on experience with Databricks for scalable data processing and transformation
  • Experience with Azure SQL or similar cloud-native data storage technologies
  • Strong SQL and Python skills
  • Comfortable working in collaborative, cross-functional engineering teams

Nice to have

  • Databricks and/or Azure data engineering certifications
  • dbt
  • Experience with CI/CD, deployment automation, or modern Dev Ops practices within data environments

Why this role stands out

✅ Opportunity to help shape a modern Lakehouse platform, not maintain legacy infrastructure

✅ Exposure to meaningful, business-critical data engineering challenges at scale

✅ Strong engineering culture with modern tooling and best practices

✅ Real influence over platform evolution, standards, and architecture

✅ Long-term product and platform development, not short-term project work

If you're a Data Engineer who enjoys building scalable platforms in modern cloud environments and wants genuine ownership in what you're creating, this is worth a conversation.

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