Description
Job Description
We're looking for an Analytics Engineering Manager to lead and develop a high-performing team. As part of our Data Engineering & Services team, you will work closely with Analytics and Data Engineering to build stronger partnerships across Product and Engineering.
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
Requirements
- Experience leading Analytics Engineering, BI Engineering or Data Engineering teams
- Previous individual-contributor experience in Analytics Engineering
- Track record of building and developing high-performing engineering teams
- Strong SQL and data-modelling expertise and experience with modern transformation tools such as dbt
- Experience working with cloud data platforms such as Snowflake, BigQuery or Databricks
- Defined technical roadmaps and delivered measurable business outcomes
- Ability to build trust and influence both technical and business stakeholders
- Understanding of modern engineering practices including testing, observability, documentation and CI/CD
- Sufficient technical depth to identify systemic problems and contribute credibly to solutions alongside senior technical colleagues
- Ability to provide effective leadership to a highly autonomous team without micromanaging
Nice to Have
- Experience building semantic or metrics layers
- Experience applying AI to Analytics Engineering workflows or developing AI-ready data products
- Knowledge of orchestration and ingestion tools such as Airflow, Dagster or Fivetran
- Python experience for automation or data engineering tasks
- Experience working in regulated financial services or another highly data-driven organisation
- Snowflake experience, given its introduction at Zopa
Benefits
- Flexible working arrangements, including the option to work from abroad for up to 120 days a year
- Opportunity to work with a talented team and contribute to the company's mission
- Collaborative and dynamic work environment