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Senior Data Engineer

Data Idols London, England, United Kingdom · £75K–£85K/yr

Staffing and Recruiting · 11-50 employees

6 d ago
data-engineer Senior (5-10 yrs) Full-time United Kingdom
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About the role

You will design, build, and deliver robust cloud-native data solutions while contributing to engineering standards and best practices. You will also collaborate with product and delivery teams to build scalable data pipelines that support business-critical decisions.

What they look for

Azure Databricks PySpark Python SQL Data Engineering ETL Cloud-native platforms Data pipelines Engineering standards Code reviews Pair programming

Requirements

The role requires strong experience in building cloud-native data platforms, specifically using Azure, Databricks, PySpark, and Python. Candidates must possess significant expertise in SQL and the design of scalable ETL and data pipeline solutions.

Full description

Senior Data Engineer

Salary: £75,000 - £85,000

Location: London | Hybrid

Data Idols are working with one of the UK’s most recognised retail brands as they continue to invest heavily in their enterprise data platform. They are looking for a Senior Data Engineer to join a high-performing engineering team, helping build and evolve a modern cloud-based data ecosystem at significant scale.

This role sits at the heart of a major data transformation, offering the opportunity to work on scalable, production-grade data platforms that power business-critical decisions across the organisation.

The Opportunity

As a Senior Data Engineer, you’ll take a hands-on role in designing, building and delivering robust, cloud-native data solutions. Working within an experienced engineering squad, you’ll take ownership of technical challenges, contribute to engineering standards and help drive best practices across the team.

You’ll build scalable data pipelines and frameworks using Azure, Databricks and PySpark, working across the full engineering lifecycle from design through to production. You’ll also support other engineers through code reviews, knowledge sharing and pair programming, while collaborating closely with Product and Delivery teams to deliver reliable data solutions that create real business value.

Skills & Experience

  • Strong experience building cloud-native data platforms, ideally on Azure
  • Commercial experience with Databricks, PySpark and Python
  • Strong SQL and data engineering expertise
  • Experience designing and delivering scalable ETL and data pipeline solutions

If you’re looking for a Senior Data Engineer role where you can work on complex technical challenges, take ownership of meaningful projects and contribute to a modern data platform at enterprise scale, please submit your CV for initial screening and further details.

Senior Data Engineer

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