Analytics Engineer

Rightmove Careers; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Private Medical Insurance

Pension and Life Insurance

27 days holiday + volunteering days

Life assurance 4x salary

Hybrid working

Job summary

Rightmove is seeking an analytics engineer to own data models and the semantic layer across our cloud data stack. You’ll collaborate with data engineers, analysts and product teams to deliver trusted data assets on dbt and BigQuery, enabling self‑serve analytics for business units.

The role requires 3–5 years of production‑grade experience, strong SQL in BigQuery, and a passion for data quality, documentation and scalable analytics. Hybrid work with 2 days in the office.

Qualifications

• 3–5 years of experience in analytics engineering or data modelling.
• Proficient with dbt and modular data modelling.
• Strong SQL skills with BigQuery; knowledge of Looker LookML.

Responsibilities

• Model, build, and productionise robust data assets using dbt and BigQuery
• Maintain and evolve the semantic layer in Looker to support self-serve analytics
• Ensure data is transformed, tested, and high quality before downstream consumption
• Collaborate with analysts, product managers, engineers to deliver data models
• Document and expose data assets clearly
• Apply engineering best practices across analytics codebases
• Maintain the data catalogue and source of truth for analytics
• Analyse workflows and work with data engineers to improve performance
• Identify opportunities to reduce complexity and cost across the data platform
• Participate in agile ceremonies

Skills

Analytics engineering

Data modelling

SQL querying

Cross-functional collaboration

Cloud data platforms

Tools

dbt

BigQuery

Looker (LookML)

Git

Job description

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 millionsof people planning their next move, reading the latest industry news, or just browsing what’s on the market.

Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site,and what this means to our customers. You’ll be at the centre of our analytics platform to help drive this, modelling and productionising high‑quality data assets inDBT on BigQuery, and maintaining the semantic layer to power the insights that will impact millions of users.

Working closely with a highly collaborative and high-performing team of data engineers, analysts, and product teams, youwill help standardise metrics, elevate data quality, and enable self‑serve analytics so teams can move faster and smarter todrive real business impact.

Ultimately, this role would suit an analytics engineer who’s ready to take ownership of building high-quality, well-documented data models, contribute to the development of a scalable analytics layer of a modern data stack, and helpshape how data is used across the UK’s favourite property site.

What You’ll Be Doing

• Model, build, and productionise robust data assets using dbt and BigQuery
• Maintain and evolve the semantic layer in Looker to support consistent, self-serve analytics
• Ensure data is transformed, tested, and of high quality before consumption by downstream users
• Collaborate with analysts, product managers, and engineers to understand requirements and deliver trusted data models
• Document and expose data assets in a way that is easy to understand and use
• Apply and advocate engineering best practices across analytics codebases
• Maintain the data catalogue and support a single source of truth for analytics
• Analyse workflows and collaborate with data engineers to improve performance and maintainability
• Be proactive in identifying opportunities to reduce complexity and cost across the data platform
• Participate in agile ceremonies, including sprint planning, refinement, and retrospectives

We’re Looking for Someone Who

• Has 3–5 years of proven experience in analytics engineering or data modelling, working on production-grade datamodels and semantic layers within a large-scale, cloud-based data platform
• Has hands‑on experience with dbt and understands modular data modelling best practices
• Is confident writing and optimising complex SQL queries in BigQuery (or Redshift/Snowflake)
• Has experience working with Looker (Core) and maintaining semantic layers (LookML)
• Has worked in a production environment where data models are used to power business‑critical reporting anddashboards
• Understands the importance of documentation, testing, and version control (Git) in analytics workflows
• Has experience working in a cloud‑native environment - GCP highly preferred, also AWS
• Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved andenjoys contributing to tech events
• Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
• Brings a collaborative and curious mindset, and enjoys working in cross‑functional teams

Life at Rightmove

Despite our growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove Hows at the heart of everything we do. These are the essential values that reflect our culture, and include:

• Wecreatevalue… by delivering results and building trust with partners and consumers.
• Wethinkbigger… by acting with curiosity and setting bold aspirations.
• Wecaredeeply… by being real, having fun, and valuing diversity.
• Wemovetogether… by being one team - internally collaborative, externally competitive.
• Wemakea difference… by focusing on delivering measurable impact.

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. And with 89% of Rightmovers saying we’re a great place to work , we’re clearly doing something right!

What we offer

• Cash plan for dental, optical and physio treatments.
• Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan.
• 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes.
• Contributory stakeholder pension.
• Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life.
• Competitive compensation package.
• Paid leave for maternity, paternity, adoption & fertility.
• Travel Loans, Bike to Work scheme, Rental Deposit Loan.
• Charitable contributions through Payroll Giving and donation matching.
• Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more.
• We offer hybrid working with a minimum of 2 days in the office. For our roles, such as Field or Home-based positions, different working arrangements apply - full details will be shared during the recruitment process.

As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation.

At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

By applying, you confirm that you are aged at least 18 or over andthat you’ve read and understood our Privacy Policy, which explains how we handle and protect your personal information during the recruitment process.