Analytics Engineer

Who you are

• We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth
• Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability
• Strong experience with ELT pipelines and transformation at scale, ideally using dbt
• Experience with Snowflake or another modern cloud data warehouse
• Proactiveness in raising areas of data workflows that could be improved and suggesting solutions
• A collaborative working style and clear communication across technical and non-technical stakeholders
• Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows

What the job involves

• We're looking for an analytics engineer to contribute to the analytical foundation of the UK Cards team, a growing area of the business
• 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 contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business
• Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting
• Championing standards and contributing to the improvement of our analytics engineering culture
• Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines
• Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time
• You’ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude

The application process

• Initial call with an engineer
• 15 minute cognitive assessment
• 30 minute chat with hiring manager
• 60 minute technical interview
• 60 minute culture interview

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!