Senior Analytics Engineer

Who you are

• We’re looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment
• Strong SQL skills
• Strong experience with ELT pipelines and transformation at scale, using dbt
• Excellent stakeholder management skills, with a proven ability to influence and negotiate with both technical and non-technical stakeholders
• Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability
• Good judgement in balancing longer-term platform improvements with day-to-day business needs
• The ability to spot inefficiencies in existing data workflows and improve them independently
• Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows
• Experience with Snowflake or another modern cloud data warehouse
• An interest in helping analysts raise their technical bar through support, mentoring, and better shared patterns
• Fintech or scale-up experience

What the job involves

• We're looking for a Senior Analytics Engineer to support building the analytical foundation for our US Loans team, the fastest-growing area of the business
• In this role, you’ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company
• The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability
• You’ll operate with a high degree of ownership, helping shape the modelling layer, improving how analysts work with data, and ensuring our warehouse remains a strategic asset for the business
• Owning and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting
• Driving the development of our dbt models and transformation layer, working with analysts and stakeholders to improve the speed and quality of insight generation
• Helping define good modelling patterns, architecture, and implementation standards across the analytics engineering layer
• Supporting analysts at different technical levels, helping them build stronger engineering habits and become more effective with data
• Acting as a bridge between analysts, backend engineers, product teams, and the data platform team to make sure data is generated, modelled, and used effectively
• Identifying opportunities to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time
• Scaling our data infrastructure to proactively support the requirements of a rapidly growing business
• You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude

The application process

• Quick chat with a recruiter
• 15-minute cognitive assessment
• 60-minute techincal interview (Interactive architecture/design exercise)
• 60-minute culture interview with primary stakeholders

Benefits

• 💸 Best-in-class compensation, including equity
• 🏠 You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas (hybrid)
• 🍲 Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
• 🏥 Comprehensive private health insurance (including dental, optometry and general wellbeing)
• 🚗 EV car scheme (Octopus)
• 🚲 Cycle to work scheme
• 🧮 Pension
• 🌴 25 days of annual leave - excluding bank holidays
• 🎊 Multiple opportunities to socialise with your team and the wider company
• 🏋️‍♀️ 50% off gym memberships at Virgin Active and Nuffield (via Vitality health insurance)
• 💻 Equipment provided for you to do your best work!