Analytics Engineer modelling and productionising data assets for Rightmove's analytics platform. Collaborating with teams to standardise metrics and elevate data quality while enabling self-serve analytics.
Responsibilities
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
Requirements
3–5 years of proven experience in analytics engineering or data modelling, working on production-grade data models 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 and dashboards
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 and enjoys 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
Benefits
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
Hybrid working pattern with 2 days in office
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
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