Senior Analytics Engineer

Other

• 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 blueprints.
• You are comfortable working with cloud environments (specifically Azure), software engineering best practices like Git and CI/CD, and data governance frameworks including PII management and secure data access.
• You have successfully driven self-serve analytics adoption across cross-functional teams, and can communicate complex technical architecture clearly to any stakeholder — from analysts to senior leadership.
• You actively leverage AI tools to automate routine tasks and continuously explore ways to integrate AI into your workflows, improving quality and speed.
• You'll be joining an established but fast-growing Tech for Good movement, where we're led by our Principles and our mission to Fix Healthcare Communication
• £85,000 - £105,000 salary + share options up to £30,000
• Benefits to suit you: adjust your healthcare cover, your pension or life insurance, whatever stage you’re at in life
• Flexible Working: We are an office first culture and ask that you’re in our (dog-friendly) Shoreditch office 3 days a week, with core hours of 10am - 4pm
• Time off: You’ll get 28 days of holiday (plus bank holidays) and up to 4 weeks to work from anywhere per year
• Family matters: We offer enhanced parental leave, fertility support and parental loss support
• We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!
• Want to know more about the company? Check out our Careers page and Candidate hub . Or want to find us across social media? Visit our sites here