Senior Analytics Engineer

💬 Accurx is where conversations happen with and about patients.
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.

The team
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.

Challenges you'll solve…

• 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 should apply if…

• 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.

What’s in it for me?
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

Compensation: £85K – £105K

• • Offer Range £85K – £105K
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Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/accurx/senior-analytics-engineer-london-205757)