This is a senior, hands‑on data engineering role within a growing BI and data team. The focus is on building and maintaining reliable data pipelines and supporting the wider business with high‑quality data products.
The role combines strong technical delivery with stakeholder engagement and mentoring responsibility.
What You’ll Do
* Design, build and maintain robust ETL pipelines using Python and SQL.
* Work across a modern cloud data platform within the Microsoft Azure ecosystem.
* Own data features end to end, from requirements through to delivery.
* Engage directly with stakeholders to translate business needs into technical solutions.
* Set engineering standards and support the development of junior team members.
* Use AI tools to improve solution design, development and documentation.
What You’ll Bring
* Strong commercial experience with Python and SQL in data engineering environments.
* Hands‑on experience with cloud data platforms and data lake architectures.
* Confidence working with orchestration, CI/CD and version‑controlled workflows.
* Ability to communicate technical decisions clearly to non‑technical audiences.
* Experience mentoring or supporting less experienced engineers.
Why You Should Apply
* Proper senior role with ownership, not a ticket‑factory position.
* Opportunity to shape a growing data platform and engineering standards.
* Modern tech stack with genuine investment in AI‑enabled delivery.
* Stable, long‑term role with hybrid working.
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