Senior Analytics Engineer (L4)
Summary
Leads complex data and analytics workstreams to build a modern self-serve analytics platform: designs scalable analytics solutions with SQL, DBT and Python, drives best practices (modelling, testing, CI/CD), owns data incidents end-to-end, and mentors engineers. Based in Cambridgeshire, UK (not remote).
In this role, you will lead multiple complex data and analytics workstreams to build a modern, self-serve analytics platform. You collaborate with cross-functional teams to deliver trusted data products and executive-ready insights that inform business decisions. You shape strategy, raise engineering standards, and own data incidents to reduce risk. This is a fast-paced, impact-driven position where you mentor others and help scale data capability across the organization. You will be at the heart of turning data into actionable business value.
Responsibilities- Lead delivery across multiple complex data and analytics workstreams and shape roadmap with engineering leadership
- Design, build, and maintain scalable analytics solutions using SQL, DBT, Python, and modern data platforms
- Drive data engineering best practices: modelling, testing, CI/CD, documentation, code reviews, operational excellence
- Partner with Product, Analytics, Technology, and Data Platform teams to deliver trusted data products and insights
- Own complex data incidents from detection through RCA and prevention to reduce risk
- Mentor and develop engineers, unblock teams, and foster growth within the function
- Advanced SQL expertise with hands-on DBT experience
- Strong Python or scripting skills for automation and scalable data solutions
- Proven experience delivering complex analytics, reporting, and BI solutions from discovery to adoption
- Solid understanding of data modelling, testing, performance optimisation, data quality, reliability engineering
- Experience leading multiple workstreams and operating across a broader function
- Mentoring and coaching track record; improving engineering standards
- Experience with Git, CI/CD, automation, and cloud-based data platforms
- Excellent stakeholder management and communication across technical and non-technical audiences
- Interest in AI-enabled tooling and responsible adoption of new technologies
- Stakeholder management
- Communication
- Mentoring/coaching
- DBT
- SQL
- Python