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Salary: GBP 85,000 - 105,000 / annual
AccuRx is a mission-driven healthtech company transforming NHS communication through a unified digital platform used by 98% of UK GP practices. The platform includes Total Triage for patient demand management, Self-Book for appointment scheduling, Patient Questionnaires for chronic condition management, Accumail for cross-care staff communication, and Accurx Scribe, an AI-powered clinical note-taker.
As Senior Analytics Engineer, you will sit at the intersection of Data Engineering, Product, and BI teams, owning the presentation layer of the Snowflake data warehouse and expanding self-serve analytics capabilities. You'll be responsible for designing and building high-impact data models using advanced methodologies, translating complex healthcare domains into scalable analytics blueprints that teams can trust and act upon.
Key responsibilities include:
- Owning and evolving the Snowflake data warehouse presentation layer, modelling complex healthcare domains end-to-end using dbt
- Designing production-grade data models using dimensional modelling, star schemas, data vault, or OBT approaches
- Partnering with BI and Analytics teams to translate business requirements into scalable models
- Optimizing data model performance and warehouse design for compute efficiency and scalability
- Setting and scaling standards for data quality, automated testing, and documentation within dbt
- Championing self-serve analytics by training non-technical colleagues to explore data through BI tools
- Mentoring teammates and contributing to engineering culture through code reviews and collaboration
- Supporting strategic data initiatives across engineering teams
The role operates within a mission-driven team of 80 engineers in London, fostering a low-ego, high-impact environment where engineering, product, data, and security collaborate as peers. You'll have high autonomy and own everything from initial system design to long-term service stability.
Requirements:
- Strong, proven experience as an Analytics Engineer in a modern data team with advanced SQL, Snowflake, and dbt (Core or Cloud) skills
- Hands-on data modelling expertise with dimensional modelling, star schemas, data vault, or OBT methodologies
- Comfort with cloud environments (specifically Azure), software engineering best practices (Git, CI/CD), and data governance frameworks including PII management
- Demonstrated success driving self-serve analytics adoption across cross-functional teams
- Ability to communicate complex technical architecture clearly to stakeholders from analysts to senior leadership
- Active use of AI tools to automate routine tasks and integrate AI into workflows
- Experience with data ingestion tools like Fivetran or custom Python pipelines is a bonus
