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Compare the Market seeks an experienced Analytics Engineer to lead delivery across multiple data and analytics workstreams, partnering with Staff Analytics Engineers and engineering leadership.
You'll design, build, and maintain scalable analytics solutions using SQL, DBT, Python, and modern data platform technologies, ensuring reliability, performance, and long-term maintainability while mentoring engineers and driving best practices across data modelling, testing, CI/CD, and documentation.
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we’re a purpose-driven business powered by tech and AI. We’re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in.
We're looking for an experienced Analytics Engineer who combines deep technical expertise with strong leadership and stakeholder management skills. You'll be comfortable operating across large, complex data environments, driving technical direction while delivering business impact through both your own contribution and the success of others.
We’re a business built for pace and performance. Here, you’ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we’re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
Women in Data® advertise roles on behalf of our partners, alliances, and members.
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Connect, engage and belong to the largest free female data community in the UK – visit: womenindata.ai to join our community.
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