Senior Analytics Engineer

For decades, the NHS has struggled with fragmented systems that make simple tasks feel impossible. We’re changing that by building a single, system-wide platform that connects everyone through communication.

What started as a way for GPs to text a patient has now evolved into an all-in-one digital toolkit used by 98% of GP practices.

Our platform now powers Total Triage to manage patient demand, and Self-Book, which lets patients schedule their own appointments in seconds. We’ve automated routine care with Patient Questionnaires for long-term conditions, while Accumail finally allows staff-to-staff communication to happen instantly across different care settings. We’re now pushing the boundaries of the consultation itself with Accurx Scribe, our AI-powered note-taker that drafts medical notes in real-time.

We are a mission-driven team of 80 engineers based in London and the surrounding areas, united by the challenge of fixing healthcare communication. We are innovating for the NHS at a scale and depth that has never been done before, solving the real-world problems that stand between millions of patients and the care they need.

We are a highly cross-functional group where engineering, product, data, and security collaborate as true peers. We foster a low-ego, high-impact environment that values expertise and new ideas, maintaining the high standards required to build and scale a national healthcare communication platform. Within this ecosystem, our teams operate with high autonomy, owning everything from initial system design to long-term service stability.

As a Senior Analytics Engineer, you’ll sit at the intersection of our Data Engineering, Product, and BI teams, expanding our data modelling and self-serve capabilities, and building the foundations that turn data from a support function into a strategic asset.

• You will own and evolve the presentation layer of our Snowflake data warehouse, modelling complex healthcare and health tech domains end-to-end using dbt.

• You will design and build high-impact data models using advanced methodologies — translating real-world operational domains into scalable analytics blueprints that teams can trust.

• You will partner closely with BI and Analytics teams to understand complex business requirements and deliver production-grade models that fuel actionable insights.

• You will continuously improve data model performance and Snowflake warehouse design, prioritising compute efficiency, scalability, and a seamless experience for end users.

• You will set, uphold, and scale standards for data quality, automated testing, and documentation within dbt — making our core data assets something the whole organisation can rely on.

• You will champion self-serve analytics, training and empowering non-technical colleagues to confidently explore and leverage data through our BI tools.

• You will mentor teammates, share advanced modelling knowledge, and contribute to a strong engineering culture through rigorous code reviews, sprint planning, and open collaboration.

• You will support strategic data initiatives — collaborating across engineering teams to propose smart, scalable solutions and drive data infrastructure automation where it matters most.

• You have strong, proven experience as an Analytics Engineer within a modern data team, with advanced skills in SQL, Snowflake, and dbt (Core or Cloud). Experience with data ingestion tools like Fivetran or custom Python pipelines is a bonus.

• You bring hands‑on data modelling expertise, Dimensional Modelling, Star Schemas, Data Vault, or OBT, and know how to translate complex real-world domains into clean, scalable analytics…