Founderr
Data Engineering Manager
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About the role
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.
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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.
What we are looking for
- 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
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The package
- Salary starting at £75,000 with some flex for the right person
- An 18% combined pension (10% employer)
- 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.
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