Remote engineer in London

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: among the fastest-growing tech companies in the UK. So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards, and car finance. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-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 works with data, and support the team in keeping our warehouse a reliable, strategic asset for the business. This includes building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting. You will champion standards and contribute to the improvement of our analytics engineering culture, supporting and collaborating with analysts at different technical levels, helping translate requirements into robust pipelines.

Additionally, you will help triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contribute ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.

Our modern data stack includes SQL, Snowflake, dbt, Fivetran, and Claude. We’re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain trade-offs 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 are essential. Experience with ELT pipelines and transformation at scale, ideally using dbt, is required, along with experience with Snowflake or another modern cloud data warehouse.

Proactiveness in raising areas of data workflows that could be improved and suggesting solutions is important, as is comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows.

Onsite or video interviews will last 90 minutes, comprising a 60-minute chat with this role's primary stakeholders.

We offer:

• Winning team: the opportunity 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.

For more information, please speak to your Talent Partner.