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:
* 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
* 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
#J-18808-Ljbffr