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- Tasks: Lead the development of Analytics Engineering and tackle complex data challenges.
- Company: Join Rightmove, the UK's largest property platform with a supportive culture.
- Benefits: Enjoy a friendly work environment, ongoing training, and opportunities for career growth.
- Why this job: Make a real impact in shaping data products and improving analytics standards.
- Qualifications: Experience as a Senior Analytics Engineer with strong SQL and modelling skills.
- Other info: Collaborate with diverse teams and embrace continuous learning in a dynamic setting.
The predicted salary is between 48000 - 72000 £ per year.
Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to make it happen.
We’re home to the UK’s largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what’s on the market.
The role involves joining a strong, highly capable team that includes both Data Engineers and other Analytics Engineers. You will work closely with our data platform squad, responsible for the underlying infrastructure, tooling, and enablement that supports our analytical data platform, designed around data mesh principles.
You’ll be part of the broader Data, Analytics and AI organisation, collaborating with Data Engineers, Analysts, Data Scientists, ML Engineers, and partners across product and commercial areas. As we continue to align Analytics Engineering to business domains, you will form relationships across the business to ensure our data models and semantic layers reflect real-world domain boundaries and needs.
This is a hands-on technical leadership role focused on raising standards, improving modelling maturity, and guiding others, without formal line management responsibilities.
What you’ll be doing:
- Technical Leadership and Standards: Lead the ongoing development of Analytics Engineering by setting technical direction, defining standards, and driving improvements in modelling quality, governance, and reliability. Take ownership of complex modelling and transformation challenges within the team. Develop scalable modelling patterns that align with our data mesh approach. Promote strong engineering practices including testing, CI/CD, documentation, version control, and code review.
- Data Modelling and Development: Build robust, production-ready dbt models in BigQuery that support analytical and operational use cases. Create and maintain high-quality semantic models in Looker to enable intuitive and reliable self-service analytics. Own the modelling for key domains, ensuring consistency, maintainability, and cost efficiency. Work with Data Engineers and the Platform Squad to improve data pipelines, orchestration, development workflows, and performance.
- Collaboration and Delivery: Partner with product teams, commercial stakeholders, and domain owners to understand analytical needs and translate them into clean, well-documented data products. Collaborate with other teams within the DNA organisation to ensure alignment, reusability, and cross-domain consistency. Identify opportunities to simplify complex areas, reduce unnecessary cost, and improve the overall developer experience.
- Coaching and Enablement: Support and mentor junior Analytics Engineers and analysts, helping them build strong engineering and modelling skills. Enable teams across the business to make effective use of Looker and the domain data models you create. Encourage good documentation, data ownership, and clear modelling practices across domain teams.
We’re looking for someone who:
- Thrives in a developing environment where you might not have all the answers but are excited by figuring it out.
- Communicates clearly and works well with engineers, product teams, and business stakeholders.
- Works well with others, can contribute to a team, and collaborate across diverse groups of people.
- Has strong problem-solving and critical thinking skills – able to tackle complex problems, make informed decisions, and think creatively.
- Is open to new ideas, embracing change, and quickly adjusting to evolving circumstances.
- Enjoys continuous learning and keeping up with technological advancements.
- Shows a proactive approach to solving different issues within the team or within Rightmove.
What you’ll bring to the role:
- Significant experience as a Senior or Lead Analytics Engineer.
- Expertise in SQL and strong experience building production-grade, cost-efficient dbt models including using sensitive/PII data.
- Strong understanding of semantic modelling and dashboarding for BI tools, ideally Looker.
- Experience defining or improving engineering standards and modelling approaches.
- Experience with modern cloud data environments, ideally Google Cloud.
- Some experience using Python.
- Familiarity with orchestration tools such as Airflow.
- Experience with data mesh or domain-based data ownership principles.
Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events.
Senior Data Analytics Engineer London, UK employer: Rightmove
Contact Detail:
Rightmove Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Engineer London, UK
✨Tip Number 1
Network like a pro! Reach out to current employees at Rightmove on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Analytics Engineer role. Personal connections can give you an edge!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing SQL, dbt models, and data mesh principles. We want to see your expertise shine, so practice explaining complex concepts in simple terms.
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss past challenges you've faced in analytics engineering and how you tackled them. We love candidates who can think critically and adapt to new situations!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Rightmove team. Let’s make your move happen!
We think you need these skills to ace Senior Data Analytics Engineer London, UK
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Analytics Engineer role. Highlight your relevant experience with SQL, dbt models, and any cloud data environments you've worked with. We want to see how your skills align with our needs!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled complex data challenges in the past. We love candidates who can think critically and creatively, so don’t hold back on those success stories!
Emphasise Collaboration: Since this role involves working closely with various teams, make sure to mention your experience collaborating with engineers, product teams, and stakeholders. We value teamwork, so let us know how you’ve contributed to successful projects!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Rightmove!
How to prepare for a job interview at Rightmove
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analytics. Be ready to discuss specific challenges you faced, how you approached them, and the outcomes. This will show your technical expertise and problem-solving skills, which are crucial for a Senior Data Analytics Engineer.
✨Familiarise Yourself with Data Mesh Principles
Since the role involves working with data mesh principles, make sure you understand what they entail. Be prepared to discuss how you've implemented or would implement these principles in your work. This shows that you're not just technically skilled but also aligned with the company's vision.
✨Showcase Your Collaboration Skills
This position requires working closely with various teams. Think of examples where you've successfully collaborated with product teams, data engineers, or analysts. Highlight your communication style and how you ensure everyone is on the same page, as this is key to success in the role.
✨Prepare Questions That Matter
Interviews are a two-way street. Prepare insightful questions about the team's current challenges, the tools they use, or their approach to data governance. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
