Primus Connect
Data Engineering Manager
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Data Engineering Manager
Are you a hands-on Data Engineering leader who loves building high-impact data platforms while mentoring and growing teams?
We’re hiring a Data Engineering Manager to join a fast-moving, product-focused environment where collaboration is high, decisions are quick, and your work will directly shape real products used by the business.
The Role
This is a true player-coach position—roughly 50℅ hands-on engineering and 50℅ team leadership.
You’ll lead a small but growing team of Data Engineers (currently 5, mostly junior), helping them mature technically while remaining deeply involved in building and optimizing modern data pipelines on Databricks.
The team works in a highly collaborative office environment, enabling rapid delivery and close cross-functional teamwork.
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What You’ll Be Doing
- Leading and mentoring a team of Data Engineers
- Designing and building scalable data pipelines in Databricks
- Remaining hands-on with Python/PySpark development
- Working closely with product, frontend, and backend teams
- Integrating multiple data sources, including APIs
- Driving best-practice across the data platform
- Helping shape the future data architecture
What We’re Looking For
Essential:
- Strong commercial experience with Databricks
- Advanced Python and PySpark
- Solid SQL skills
- Experience building production data pipelines
- Experience working with API-based data ingestion
- Familiarity with Azure storage connectivity
- Prior technical leadership or mentoring experience
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Nice to have:
- Experience with Dynamics integrations
- Background in product or startup environments
- Broader Azure ecosystem exposure
Working Pattern
- Predominantly an onsite role
- Some days at their offices in central London/Guildford
- Fast-paced, highly collaborative office culture
Why Join?
- High-impact role in a growing data function
- Strong investment in people and development
- Free onsite restaurant (breakfast, lunch & snacks)
- Fully equipped onsite gym
- Collaborative, delivery-focused culture
- Opportunity to shape and scale a modern Databricks platform
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