Data Engineering Manager

Our client, a large purpose‑led organisation, is building a new in‑house data function as part of a wider technology transformation, and this role leads it from the front. You will lead and grow a team of data engineers, own the technical delivery and evolution of the enterprise data platform, and set the engineering standards the team works to.

This is a role for someone from a hands‑on engineering background who has stepped into leadership but still likes to get their hands dirty. Expect roughly 30% hands‑on technical work, with the balance spent leading and developing the team, setting and upholding standards, managing vendor relationships, and working directly with business stakeholders to turn priorities into delivered outcomes.

The platform is built on the Azure data stack, with Databricks and Azure Data Factory at its core, and has recently been reviewed as a strong foundation to build on. It powers insight and decision‑making across the organisation, including reporting, analytics and emerging AI and ML use cases, and you will have genuine authority to shape its technical direction.

• A background as a hands‑on data engineer who has progressed into leading teams
• Experience managing or leading data engineering or technical teams, or a strong lead ready to step up
• Depth in Azure Data Factory and Databricks, with working knowledge of Synapse
• Practical coding ability (Python or PySpark, SQL) you are happy to still use
• Strong grounding in modern data platforms and lakehouse concepts
• Genuine stakeholder skills, comfortable in front of the business, not just the tech team

Salary starting at £75,000 with some flex for the right person, an 18% combined pension (10% employer), and genuinely flexible hybrid working from a West Yorkshire base, on‑site when there is a purpose, not on a rota.

Interested or know someone who fits? Apply or get in touch.