Analytics Engineer (UK Cards)

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. What you'll be doing 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. Our modern data stack You'll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. What we're looking for 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 Interview process Initial call with an engineer 15 minute cognitive assessment 30 minute chat with hiring manager 60 minute technical interview 60 minute culture interview Life at Lendable Winning team

to scale up one of the world's most successful fintech companies Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls Health coverage: support for your physical and mental wellbeing, including private health cover Retirement & savings: long-term financial wellbeing through retirement savings plans Employee referral programme: earn a competitive bonus when you refer successful new team members Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog !