Data Engineering Manager
- Published on
About the Role
Are You a Data Engineering leader ready to make a global impact? Do you thrive in a role where technical ownership, people leadership, and strategic vision come together? Have you built or evolved robust data pipelines in a modern cloud ecosystem? Our client is looking for a Data Engineering Manager to lead a small, talented team in scaling their product catalogue ingestion platform on a permanent basis.
Key Responsibilities
- Lead and mentor a high-performing team of Data Engineers
- Act as a subject matter expert across data initiatives
- Gather and translate stakeholder needs into technical solutions
- Build and maintain robust pipelines and self-service tools
- Ensure data quality through automated testing and governance
- Troubleshoot issues and maintain system reliability
- Promote best practices, tools, and standards across the team.
About the Candidate
What we’re looking for:
- Proven track record leading and mentoring data engineering teams
- Strong grasp of the full data lifecycle and ELT best practices
- Expertise in large-scale data processing and pipeline optimisation
- Proficient in Python, SQL, and cloud platforms (AWS or similar)
- Hands-on with Airflow, Fivetran, Snowflake, Docker (or equivalents)
- Experience with real-time and batch data pipelines.
About the Company
James Chase is a forward-thinking product company dedicated to innovation and excellence in data management.
Company Culture and Benefits
This role is hybrid, requiring one day a week in the office in Brighton. Please note that this position does not offer visa sponsorship.
Application Process
Ready for your next move? Apply now or send your CV across to chinmaye.ramnath@james-chase.com.