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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Analytics Engineer - **Company:** The Borough - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Data Analysis, BigQuery, Information Engineering, Data Governance, Data Warehousing, Software Debugging, Standard Sql, Feature Engineering, Large Language Models, Data Layers, Core Data, Machine Learning Operations, Looker Analytics - **Published:** August 18, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/x/44366364/ ## About the Role seeing those improvements through.Who you areAI & LLM awareness priorityA working understanding of how AI and LLM-powered products consume data - including familiarity with feature engineering, evaluation pipelines and the data quality standards these systems require.Experience contributing to or supporting AI/ML workflows, whether through building feature stores, curating training data, or structuring outputs for model consumption.Technical expertise3+ years of experience in analytics engineering, data engineering or a closely related role.Advanced SQL skills - you can design, optimise and debug complex queries with confidence.Hands-on experience with dbt or Dataform, and a strong track record of building scalable, well-structured data models.Comfortable working within a modern data stack; direct experience with BigQuery and Looker is a strong advantage.Analytical acumenStrong understanding of measurement approaches, data analysis and statistics - you think carefully about what a metric actually means before you build it.Able to hold both the technical and business context simultaneously, ensuring every data solution is anchored to a real company objective.Experienced in data governance, quality assurance and documentation - you understand that trusted data is the product.How you workA natural collaborator who can earn the trust of both data analysts and non-technical stakeholders alike.Takes ownership end-to-end - from understanding a business problem to delivering a solution the whole company can rely on.Excited by the challenge of building in a fast-paced environment and motivated by the idea that your work helps improve patient outcomes at scale.Someone who resonates with ownership, strategic thinking and the pace of a high-growth scale-up. ## Description shape how we scale tomorrow - across products, markets and millions of patient interactions.What you'll doArchitect, model and optimise the core data models that power analytics and AI applications across the business, building for scale and performance from the ground up.Ensure the data layer is structured to support AI and LLM use cases - including feature pipelines, evaluation datasets and the clean, well-documented data that reliable AI products depend on.Partner with cross-functional teams across marketing, finance, operations and product to translate business requirements into robust, reliable technical solutions.Own data governance of the data models you own - ensuring integrity, consistency and security while maintaining documentation and enforcing best practices.Shape our data culture, driving adoption of rigorous modeling frameworks and analytical standards.Identify opportunities to improve the performance, reliability and usability of our data stack, and take full ownership of ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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