> Markdown version of [/jobs/ext/3134549-analytics-engineer-uk-cards](https://www.wearedevelopers.com/jobs/ext/3134549-analytics-engineer-uk-cards). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer (UK Cards) - **Company:** Lendable Ltd - **Location:** UK (Remote available) - **Contract:** Permanent contract - **Skills:** Data Warehousing, Machine Learning, SQL Databases, Snowflake, Backend, Data Pipelines - **Published:** September 29, 2026 - **Apply:** https://startup.jobs/analytics-engineer-uk-cards-lendable-co-uk-10217298 ## 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. 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. ## Related Videos - [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) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [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) - [Beyond SQL Generation: How to Teach Agents What Your Database Actually Means](https://www.wearedevelopers.com/videos/100127-beyond-sql-generation-how-to-teach-agents-what-your-database-actually-means) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [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 London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [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)