Senior Analytics Engineer

Salary: £63,000 - 69,000 per year

Requirements:

• We are looking for a senior analytics engineer, data engineer, or someone in a closely related role with 3+ years of experience.
• You have advanced SQL skills and can design, optimise, and debug complex queries with confidence.
• You have hands-on experience with dbt or Dataform and a strong track record of building scalable, well-structured data models.
• You are comfortable working within a modern data stack; direct experience with BigQuery and Looker is a strong advantage.
• You have a working understanding of how AI and LLM-powered products consume data, including feature engineering, evaluation pipelines, and the data quality standards these systems require.
• You have experience contributing to or supporting AI/ML workflows, such as building feature stores, curating training data, or structuring outputs for model consumption.
• You have a strong understanding of measurement approaches, data analysis, and statistics.
• You have experience in data governance, quality assurance, and documentation.
• You are a natural collaborator who can earn the trust of both data analysts and non-technical stakeholders.
• You take ownership end-to-end, from understanding a business problem to delivering a solution the whole company can rely on.
• You are excited by building in a fast-paced environment and are motivated by the idea that your work helps improve patient outcomes at scale.
• You resonate with ownership, strategic thinking, and the pace of a high-growth scale-up.

Responsibilities:

• Architect, 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 clean, well-documented data.
• Partner with cross-functional teams across marketing, finance, operations, and product to translate business requirements into robust, reliable technical solutions.
• Own data governance for the data models you own, ensuring integrity, consistency, and security while maintaining documentation and enforcing best practices.
• Shape our data culture by 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.

Technologies:

• AI
• Architect
• BigQuery
• Support
• LLM
• Looker
• Marketing
• SQL
• Security
• dbt

More:

We are a fast-growing healthcare scale-up with a high-impact Data team. You will work closely with data and business stakeholders and help build a modern data stack powered by BigQuery, dbt, and Looker. Your work will underpin internal analytics, company-wide decision-making, and patient-facing AI products, with genuine ownership over the data models and governance practices that shape how we scale across products, markets, and millions of patient interactions.

last updated 36 week of 2026