At a Glance
- Tasks: Lead complex data projects and shape analytics strategy with cutting-edge technologies.
- Company: Join Compare the Market, a purpose-driven tech company making financial decisions easier.
- Benefits: Inclusive culture, career growth, and opportunities to make a real impact.
- Other info: Mentorship opportunities and a commitment to diversity in the workplace.
- Why this job: Be part of a dynamic team that values innovation and accountability.
- Qualifications: Advanced SQL, Python skills, and experience in analytics engineering required.
The predicted salary is between 56700 - 69300 £ per year.
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.
What you'll be doing
- Leading delivery across multiple complex data and analytics workstreams, helping shape strategy and roadmap direction in partnership with Staff Analytics Engineers and engineering leadership.
- Designing, building, and maintaining scalable analytics solutions using SQL, DBT, Python, and modern data platform technologies, ensuring reliability, performance, and long-term maintainability.
- Acting as a technical expert within the team, driving best practices across data modelling, testing, CI/CD, documentation, code review, and operational excellence.
- Partnering with Product, Analytics, Technology, and Data Platform teams to deliver trusted data products, executive-facing reporting, and commercial insights that drive better business decisions.
- Owning complex data incidents from identification through to root cause analysis, resolution, and prevention, while reducing delivery and operational risk across the wider function.
- Mentoring and developing engineers, delegating effectively, unblocking teams, and helping create an environment where engineers can grow and deliver independently.
What we're looking for
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.
Key experience includes
- Advanced SQL expertise and strong hands-on experience with DBT, with recognised expertise in one or more analytics engineering domains.
- Strong Python or scripting experience, with the ability to build automation, frameworks, and scalable data solutions.
- Proven experience delivering complex analytics, reporting, and BI solutions from discovery through to adoption.
- Strong understanding of data modelling, testing, performance optimisation, data quality, and reliability engineering practices.
- Experience leading multiple workstreams simultaneously and operating across a broader function rather than supporting a single team.
- Strong mentoring and coaching experience, with a track record of raising engineering standards and developing others.
- Experience working with modern engineering practices including Git, CI/CD, automation, and cloud-based data platforms.
- Excellent stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences.
- Interest in AI-enabled tooling and modern ways of working, with a pragmatic approach to adopting new technologies responsibly.
Why Compare the Market?
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.
We are proud supporters of Women in Data.
Connect, engage and belong to the largest free female data community in the UK – visit: womenindata. ai to join our community.
Stay connected! Follow us on Linked In for updates on career opportunities and more.
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Senior Analytics Engineer (L5) in London employer: Women in Data®
At Kingfisher, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. As a Portfolio Strategy & Delivery Lead, you will have access to extensive growth opportunities within our technology sector, alongside competitive benefits that support your well-being. Our commitment to continuous improvement ensures that you will play a vital role in shaping the future of our business while working in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer (L5) in London
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We think you need these skills to ace Senior Analytics Engineer (L5) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Women in Data®, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Women in Data®. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Women in Data®
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Women in Data®!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
