Staff Data Engineer

Data Science Festival; Greater London; Hybrid; GBP 85,000 - GBP 95,000; Full time

Job summary

A prominent retail brand in London is seeking a Staff Data Engineer to lead the development of scalable data solutions. This hybrid role involves working with Azure and Databricks to build production data systems. The ideal candidate will have robust experience in data engineering, strong SQL skills, and a proven track record of managing data pipelines. There is a significant opportunity for ownership and influence in a major data transformation initiative.

Qualifications

• Strong hands-on experience with Azure data platforms.
• Advanced SQL skills required.
• Commercial experience using Databricks and PySpark is essential.
• Proven background building and maintaining scalable data pipelines.

Responsibilities

• Take ownership of complex, production-grade data pipelines.
• Act as a technical leader within the data engineering team.
• Work on cloud-native solutions using Azure and Databricks.
• Influence best practices and support other engineers.

Skills

Azure data platforms

Advanced SQL

Databricks

PySpark

Building scalable data pipelines

Job description

Staff Data Engineer

Salary: £85,000 – £95,000

Location: London, hybrid

Data Idols are working with one of the best-known retail brands in the UK that are investing heavily in its data platform. They are looking for a Staff Data Engineer to play a key role in scaling production data systems and raising engineering standards across the wider data function.

This role sits at the centre of a major data transformation and offers the chance to work on high-impact data platforms used across the business.

The Opportunity

As a Staff Data Engineer, you’ll take ownership of complex, production-grade data pipelines and act as a technical leader within the data engineering team.

You’ll work on cloud-native solutions built on Azure and Databricks, making key decisions around data processing, modelling, and performance. Alongside hands-on delivery, you’ll help set best practices, support other engineers, and influence how data engineering is done across the organisation.

Skills & Experience

• Strong hands-on experience with Azure data platforms
• Advanced SQL skills
• Commercial experience using Databricks and PySpark
• Proven background building and maintaining scalable data pipelines

If you’re looking for a role where you can combine technical depth, ownership, and influence, please submit your CV for initial screening and further details.

Staff Data Engineer