Data Engineering Lead / York (hybrid) / £75k-£90k
We're hiring a Data Engineering Lead to take ownership of a growing Azure-based data platform, working as part of a small, high-impact team.
This is a hands-on technical leadership role focused on building, improving, and stabilising data pipelines and architecture - while also supporting a broader BI environment.
What do we need from you?
Strong experience with Azure Data Factory and the Microsoft data stack
Solid SQL and Python skills
Experience building and maintaining data pipelines and integrations
Ability to work in a hands-on, delivery-focused role
Comfortable operating in a small team with high ownership
Understanding of modern data platforms (Fabric exposure desirable)
Role overview
You'll take ownership of the data engineering layer, responsible for ingesting and transforming data from multiple sources into a large-scale reporting environment.
The platform currently combines:
Azure Data Factory pipelines
A large Power BI estate
A legacy warehouse (partially outsourced)
There is a clear roadmap toward modernisation and migration (Fabric), and you'll play a key role in shaping that journey.
Key focus areas
Build and maintain robust data pipelines
Manage data ingestion from multiple sources
Support and optimise data flows feeding Power BI
Work closely with BI and business teams to deliver data solutions
Improve platform stability, performance, and scalability
Contribute to future platform modernisation and migration
Help reduce reliance on legacy and outsourced components
Why join?
High ownership in a small, agile team
Opportunity to work across engineering and platform design
Involvement in a major platform transformation (Fabric)
Real impact on business-critical data systems
A role where you'll build, fix, and improve - not just maintain
If you're a hands-on Lead Data Engineer who enjoys building scalable platforms and taking ownership of delivery, apply now with a CV to Dominic Brown on
Data Engineering Lead / York (hybrid) / £75k-£90k
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