Data Engineering Manager
Summary
Leads two squads of 10-12 Data and Analytics Engineers building billing, financial settlement and data infrastructure for major UK energy suppliers, working at huge scale (hundreds of billions of rows) with Databricks, AWS and Spark. Fully remote anywhere in the UK; no visa sponsorship offered.
Location: fully remote anywhere in the UK
VISA sponsorship is NOT available
Company
A high-growth SaaS business with a strong financial backing that sits at the heart of the UK energy market - building the cloud-native platform that powers billing, financial settlement and data infrastructure for some of the country's largest energy suppliers.
Role
Data Engineering Manager leading two closely connected teams - one focused on core data products, the other on finance-critical data workflows operating at serious scale. Think hundreds of billions of rows, strict SLAs, and output that lands directly in client P&Ls.
We're looking for a technical leader who can hold their own in architectural conversations with senior ICs and thinks 12-24 months ahead - not just the current sprint ahead.
You've managed teams of Data and Analytics Engineers - not just led projects, but developed people, handled dysfunction, built culture. You understand why the data matters, not just how to move it. You're energised by the idea of commercialising data as a product. And you thrive with autonomy in a remote-first environment.
You’ll be leading a team of 10-12, split into 2 squads - Analytics Engineering and Data Engineering.
Technical experience
- Strong Data architecture experience (medallion, data warehouse, lakehouse)
- Deep expertise in cloud data platforms, particularly Databricks and AWS
- Advanced experience using Spark, including performance tuning at scale
- Data ingestion, orchestration, streaming and batch pipelines
- Proven experience implementing data governance, security and access frameworks
Please note: VISA sponsorship is NOT available for this role.