Data Engineering Manager
Our client is a SaaS platform for the energy retail sector, delivering cloud-native billing, customer management, and financial insight to energy suppliers across the UK and Europe. Following a recent acquisition, the business is expanding its AI product roadmap, with data engineering central to that ambition.
The role
You'll own two teams totalling around 12-13 people: one focused on new data source integration, governance frameworks, and testing/deployment maturity, and one on high-volume, time-critical processing with daily client-facing deadlines around financial reporting.
This is a hands-on technical leadership role, not a pure people-management position. You'll be close enough to the architecture and technical direction to hold a credible conversation with senior engineers, spot why a pipeline isn't working, and guide the team toward a fix, without needing to write the code yourself.
What we're looking for
- A genuine track record of improving how a team delivers: process maturity, delivery metrics, continuous improvement, not just managing what's already working
- Specific, evidenced examples of turning around underperforming teams or systems, not general leadership philosophy
- Deep, hands-on experience with Databricks, Spark, Python, and SQL
- Comfort with AWS, Azure, or GCP (AWS preferred, others fully considered)
- Experience building or maturing data governance frameworks: access control, retention policies, data quality
- Proven leadership of teams of 8+, ideally across more than one function
- A background in regulated or sensitive data environments is a plus
What's on offer
- Up to £110,000 base salary
- Discretionary bonus of up to 25%
- Fully remote, anywhere in the UK (occasional visits to a local office)
- A genuinely central role in how the business's data function evolves, not a siloed back-office function