Analytics Engineer

ABOUT LENDABLE 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: - One of the UK’s newest unicorns with a team of just over 700 people - Among the fastest-growing tech companies in the UK - Profitable since 2017 - Backed by top investors including Balderton Capital and Goldman Sachs - Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot https://uk.trustpilot.com/review/lendable.co.uk) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. 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. JOIN US IF YOU WANT TO 1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo 3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting As an Analytics Engineer, you’ll own the data models and transformations that underpin credit decisioning, pricing, portfolio performance, and investor reporting for our UK and US businesses. 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. WHAT YOU'LL BE DOING - 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 and mentoring 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. - Leading triage and resolution of issues that affect the analytics pipeline or reduce trust in downstream datasets. - Identifying opportunities 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 Snowflake, dbt, and Fivetran. WHAT WE'RE LOOKING FOR We’re looking for someone with strong analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment. More specifically, we’re looking for: - 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. - 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 the