Senior Analytics Engineer

Accurx

Senior Analytics Engineer responsible for enhancing data warehouse and modelling at Accurx. Collaborating with analytics teams to provide actionable insights and support strategic data initiatives.

Posted 6/10/2026full-timeLondon • 🇬🇧 United KingdomSenior💰 £85,000 - £105,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

You’ll own and evolve the presentation layer of our data warehouse, optimising databases, schemas, views, and tables to power accurate, efficient reporting and analysis.
You’ll design and maintain high-impact, self-serve data models that enable teams across the business to confidently make data-driven decisions.
You’ll partner with BI and Analytics teams to deeply understand reporting needs and deliver models that fuel actionable insights and compelling narratives.
You’ll continuously improve data model performance and warehouse design, making our data infrastructure faster, more scalable, and easier to use.
You’ll set and uphold standards for data quality, governance, and documentation, ensuring consistency, clarity, and trust in our data assets.
You’ll support strategic data initiatives, collaborating across teams to propose smart, scalable solutions and drive automation where it matters most.
You’ll champion self-serve analytics, training and empowering colleagues to confidently explore and use data via our BI tools.
You’ll mentor teammates, share knowledge, and contribute to a strong data culture through code reviews, planning, and open collaboration.

Requirements

What you’ll need

Proven experience working as an Analytics Engineer or Data Engineer as part of a data team.
Advanced skills in SQL, with the ability to write performant, well-documented, and easy-to-understand code.
Strong understanding of data modelling best practices and database design.
Experience adopting data engineering best practices like version control and using Git, and experience teaching others how to adopt them.
Good knowledge of a modern programming language, including Python.
Experience driving data self-service adoption across diverse teams.
Comfortable working with PII, security best practices, and data governance frameworks.
Ability to build and maintain multi-functional relationships and communicate effectively with stakeholders across the business.
Thoughtful, pragmatic, and unafraid to challenge assumptions to move the team forward.

Benefits

Comp & perks

Access to Happl - a flexible benefits provider with a given budget of £600 to spend on perks of your choice. Options include private health insurance, wellness providers and more.
Allocated annual learning & development budget
Enhanced parental leave policy
Prayer, meditation and breastfeeding room
Working abroad policy
Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat!

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Hard Skills & Tools

SQLdata modelingdatabase designPythondata engineering best practicesversion controlGitdata warehouse optimizationdata infrastructuredata quality

Soft Skills

communicationmentoringcollaborationproblem-solvingstakeholder managementtrainingdata culture advocacycritical thinkingadaptabilityleadership