Senior Analytics Engineer

Salary: £68,000 - 108,000 per year

Requirements:

• We 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.
• We bring hands-on data modelling expertise, including Dimensional Modelling, Star Schemas, Data Vault, or OBT, and know how to translate complex real-world domains into clean, scalable analytics blueprints.
• We 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.
• We 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.
• We actively leverage AI tools to automate routine tasks and continuously explore ways to integrate AI into our workflows, improving quality and speed.

Responsibilities:

• We own and evolve the presentation layer of our Snowflake data warehouse, modelling complex healthcare and health tech domains end-to-end using dbt.
• We design and build high-impact data models using advanced methodologies, translating real-world operational domains into scalable analytics blueprints that teams can trust.
• We partner closely with BI and Analytics teams to understand complex business requirements and deliver production-grade models that fuel actionable insights.
• We continuously improve data model performance and Snowflake warehouse design, prioritising compute efficiency, scalability, and a seamless experience for end users.
• We 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.
• We champion self-serve analytics, training and empowering non-technical colleagues to confidently explore and leverage data through our BI tools.
• We mentor teammates, share advanced modelling knowledge, and contribute to a strong engineering culture through rigorous code reviews, sprint planning, and open collaboration.
• We support strategic data initiatives, collaborating across engineering teams to propose smart, scalable solutions and drive data infrastructure automation where it matters most.

Technologies:

• AI
• Azure
• CI/CD
• Cloud
• Data Vault
• Data Warehouse
• Fivetran
• Git
• Support
• Python
• SQL
• Security
• Snowflake
• dbt

More:

We are Accurx, a mission-driven team of 80 engineers based in London and the surrounding areas, focused on fixing healthcare communication and building a single, system-wide platform that connects everyone through communication. Our products support the NHS at scale, including Total Triage, Self-Book, Patient Questionnaires, Accumail, and Accurx Scribe. We work in a highly cross-functional, low-ego, high-impact environment where engineering, product, data, and security collaborate as peers, and our teams operate with high autonomy. This Senior Analytics Engineer role sits at the intersection of Data Engineering, Product, and BI, with a base salary of 85,000 - 105,000 plus share options up to 30,000. We offer flexible working from our dog-friendly Shoreditch office three days a week, core hours of 10am - 4pm, 28 days of holiday plus bank holidays, up to 4 weeks to work from anywhere per year, enhanced parental leave, fertility support, parental loss support, and free healthy breakfasts, snacks, and lunches prepared by our in-house chef.

last updated 36 week of 2026