About [Employer hidden]

[Employer hidden] started in 2005 as the first peer-to-peer lending company and launched [Employer hidden] Bank in 2020. [Employer hidden] aims to redefine finance by putting customers first. Learn more at [Employer hidden].com. [Employer hidden] has been named in the top three UK’s Most Loved Workplaces.

The Team

The Analytics Engineering team is part of the broader Data, Analytics & AI organisation within Technology. Their mission is to transform data into high-quality, trusted, and scalable data products for analytics, product, finance, risk, and commercial teams.

The Role

This is a hands-on technical leadership role focused on raising standards, shaping technical direction, and increasing modelling maturity across domains. You'll own complex modelling challenges, define best practices for dbt, modelling, governance, and cost optimisation, and mentor others.

What you'll be doing:

• Evolve the technical direction for Analytics Engineering
• Develop scalable modelling patterns aligned to data mesh and domain-based ownership
• Raise engineering standards across testing, CI/CD, documentation, version control and code review
• Lead by example in applying data governance and risk standards
• Design and build robust, production-grade, cost-efficient dbt models
• Own modelling strategy for key business areas
• Optimise data marts for performance, reliability and growth
• Break down complex domain problems into scalable data products
• Evaluate trade-offs between cost, performance, maintainability and delivery speed
• Take end-to-end ownership of high-impact modelling initiatives
• Partner with product teams and domain owners
• Ensure cross-domain consistency and reusability
• Advocate for domain ownership and clear data contracts
• Simplify overly complex modelling areas and reduce warehouse costs
• Mentor Analytics Engineers and Analysts
• Provide high-quality, empathetic and actionable code reviews
• Share knowledge at scale through documentation, technical sessions or playbooks

What we're looking for

• Significant experience as a Senior or Lead Analytics Engineer
• Demonstrable experience setting technical standards or shaping modelling practices
• Strong expertise in SQL and building production-grade, cost-efficient dbt models
• Experience working in modern cloud data environments
• Strong understanding of data governance and risk considerations
• Experience working cross-functionally in product-led environments
• Solid understanding of CI/CD, Git-based workflows, and version-controlled deployments

Working at [Employer hidden]

This hybrid role requires 2-3 days per week in the London office. You can also work from abroad for up to 120 days a year, subject to right to work in the chosen country. [Employer hidden] offers a flexible, inclusive culture and values diversity.

Apply

Apply for this job at [Employer hidden]'s Lever application page.