Lead Analytics Engineer
- Lead and mentor a team of 3 high performing Analytics Engineers, providing line management, regular 1:1s, feedback, and development support.
- Own the analytics engineering roadmap, prioritising and delivering projects that align with wider business objectives.
- Collaborate with stakeholders across the company (including Finance, Credit, Commercial, Fincrime, and Engineering) to gather requirements and deliver high-impact data solutions.
- Act as the team's main point of contact, clearly communicating plans, progress, challenges, and timelines.
- Manage and evolve the modern data stack, which includes Fivetran, Snowflake, dbt, Looker, and Monte Carlo (for data observability).
- Design and maintain scalable dbt models and self-serve data tools (such as Looker) that empower analysts, data scientists, and non-technical users to access and explore high-quality data.
- Champion data quality and governance, ensuring data is accurate, consistent, observable, and well-tested across regions.
- Implement internal process improvements, including CI/CD, code reviews, observability alerts, and automation of manual workflows.
- Proven experience leading a team of data or analytics engineers, including at least 2 years direct line management and mentoring.
- Strong stakeholder management and communication skills - confident working with technical and non-technical colleagues at all levels.
- A strategic mindset with experience defining and delivering against a team roadmap, including balancing business priorities with technical improvements and paying down tech debt.
- Expert SQL skills and a solid understanding of data modelling approaches (e.g. Kimball).
- Hands-on experience with dbt, including working on large or complex dbt projects.
- Experience with cloud data warehouses (e.g. Snowflake) and ELT tools (e.g. Fivetran).
- Experience with data observability tools (e.g. Monte Carlo).
- Experience with BI tools (e.g. Looker, Mode, Tableau), including enabling self-serve access for non-technical users.
- A strong focus on data quality, testing, observability, and performance.
- A track record of delivering clean, documented, and production-grade data assets to support analysis and decision-making.
Worldwide travel insurance through Vitality
Anniversary Rewards (£250, £500, £750, 4-week fully paid sabbatical)
Salary Sacrifice Pension Scheme up to 7% match
28 days holiday (plus bank holidays)
Annual Learning and Wellbeing Budget
Enhanced Parental Leave
Cycle to Work Scheme
Season Ticket Loan
6 free therapy sessions per year
Dog Friendly Offices
Free drinks and snacks in our offices Check out more of our benefits, values and mission here. Other Info Check out our 'Top Tips' for interviewing.
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📧Email [email protected] if you have any questions. Excited to work here? Apply! If you'd like to progress your career within our fast growing, profitable fintech then click apply and we will aim to get back to you within 3 working days (during busy periods this could take up to 5 working days.)
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