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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer (UK Cards) - **Company:** Lendable Ltd - **Location:** London, UK (Remote available) - **Salary:** £44,547.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Warehousing, Machine Learning, SQL Databases, Snowflake, Backend, Data Pipelines - **Published:** September 5, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5903630294 ## About the Role 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 ## Description 1. Take ownership: 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: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions 3. Build the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy lifting 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., * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [The Innovation Formula: Fast Prototyping, Data Analysis, and Real User Insights](https://www.wearedevelopers.com/videos/1421-the-innovation-formula-fast-prototyping-data-analysis-and-real-user-insights) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Software Engineer Salary in The UK](https://www.wearedevelopers.com/magazine/231-software-engineer-salary-in-the-uk) - [Fullstack Developer Salary UK](https://www.wearedevelopers.com/magazine/251-fullstack-developer-salary-uk)