Analytics Engineering Manager
Zopa· Data Engineering & Services
Hybrid (London)Employee - PermanentPosted 2mo ago
About the role
Analytic engineering leadership role overseeing a central Analytics Engineering team, responsible for delivering high-quality, scalable analytical data products and driving the data platform strategy across Product and Engineering at Zopa.
Responsibilities
- Lead, coach and develop a high-performing Analytics Engineering team.
- Provide regular feedback, development support and effective performance management.
- Own prioritisation across incoming requests, strategic initiatives, team capacity and longer-term projects.
- Establish and deliver an Analytics Engineering roadmap aligned with Product and business priorities.
- Improve the quality, reliability and scalability of analytical data products.
- Embed strong practices across data modelling, testing, observability, documentation and CI/CD.
- Work across Product, Engineering, Analytics and business teams to ensure Analytics Engineering delivers measurable value.
- Partner with Data Engineering, Data Science and Analytics to contribute to a cohesive data platform.
- Represent Analytics Engineering in wider engineering discussions and champion better data practices.
- Drive continuous improvement, knowledge sharing and adoption of emerging technologies, including AI-assisted development.
Qualifications
- You have experience leading Analytics Engineering, BI Engineering or Data Engineering teams.
- You have previous individual-contributor experience in Analytics Engineering.
- You have a track record of building and developing high-performing engineering teams.
- You have strong SQL and data-modelling expertise and experience with modern transformation tools such as dbt.
- You have experience working with cloud data platforms such as Snowflake, BigQuery or Databricks.
- You have defined technical roadmaps and delivered measurable business outcomes.
- You can build trust and influence both technical and business stakeholders.
- You understand modern engineering practices including testing, observability, documentation and CI/CD.
- You have sufficient technical depth to identify systemic problems and contribute credibly to solutions alongside senior technical colleagues.
- You can provide effective leadership to a highly autonomous team without micromanaging.
Skills
Required:SQLData modellingdbtCloud data platformsRoadmappingLeadership
Benefits
- Hybrid role with London office 2-3 days per week.
- Option to work from abroad for up to 120 days a year (subject to right to work).
Last updated Oct 21, 2026. Interested? Apply on the company site.
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