Analytics Engineer

In this Analytics Engineer role, you will own and productionise high-quality data assets in a scalable analytics layer. You’ll work closely with data engineers, analysts and product teams to standardise metrics and enable self-serve analytics for cross-functional decision-making. You’ll build robust data models and maintain the semantic layer to power trusted insights for millions of users of the UK’s favourite property site. Your work will drive data quality, transparency, and efficiency across the data platform, enabling faster, smarter decisions.

• Private Medical Insurance
• Pension and Life Insurance
• 27 days holiday plus volunteering days
• Travel Loans
• Bike to Work
• Hybrid working

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

• 3–5 years in analytics engineering or data modelling in a production-grade data platform
• Hands-on experience with dbt and modular data modelling
• Proficient in writing and optimising complex SQL in BigQuery (or Redshift/Snowflake)
• Experience with Looker Core and maintaining semantic layers (LookML)
• Experience in a production environment powering business-critical reporting/dashboards
• Knowledge of documentation, testing, and version control (Git) in analytics workflows
• Cloud-native experience; preference for GCP, AWS acceptable
• Optimistic, curious, tech‑savvy with interest in ongoing trends
• Proactive, communicative, and able to contribute to technical discussions and design decisions
• Collaborative mindset and cross-functional teamwork

• optimistic
• curious
• proactive
• dbt
• BigQuery
• Looker (Core)