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
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