You will join our Data team as a senior analytics engineer modelling raw data and turning it into production ready tables for stakeholders and AI products that underpin the decisions that shape our business. This is a high-impact role at the heart of a fast-growing healthcare scale-up — one where the data you model and the standards you set will directly influence how every team in the company operates, and how well our AI-powered products perform. You'll work closely with data and business stakeholders. You will be the bridge between raw data and meaningful insight, ensuring our modern data stack — built on BigQuery, dbt and Looker — is scalable, trusted and AI-ready. Your work will underpin both the analytical decisions of our internal teams and the performance of the patient-facing AI tools we build. You'll have genuine ownership over the data models and governance practices that underpin our data function. 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. 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 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; 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. 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.
BI Engineer - FULLY REMOTE in London employer: Manual
At Voy, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through our supportive environment, where you can thrive as a Senior Product Manager in the dynamic field of healthcare innovation. With access to cutting-edge resources and a focus on patient-centric solutions, you'll have the opportunity to make a meaningful impact while enjoying a flexible work-life balance in a vibrant location.
