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Senior Analytics Engineer (L4)

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Summary

Lead complex data and analytics workstreams to build a modern, self-serve analytics platform at Compare the Market. Day to day you design scalable analytics solutions with SQL, dbt and Python, drive engineering best practices, own data incidents, and mentor engineers across cross-functional teams.

Overview

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
Key requirements
  • 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

Skills

What Senior Data Analytics jobs ask for — and how much of it you have →
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See also

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