Senior Data Engineer II (Data Platform)

In this role you shape Rightmove’s data platform to support analytics, ML, and AI initiatives at scale. You will influence platform architecture, drive data ingestion and processing across batch and real-time workloads, and collaborate with cross-functional teams to solve real-world problems. You’ll steer adoption of modern data tooling and foster a culture of technical excellence. This is a chance to lead strategic data engineering efforts while growing the team’s capability and shaping the data-driven future of the business.

• Private Medical Insurance
• Pension and Life Insurance
• 27 days holiday plus volunteering days
• Life assurance at 4x basic salary
• Hybrid working with minimum 2 days in office
• Travel Loans / Bike to Work

• Lead the design and evolution of the data platform for long-term scalability, reliability, and performance
• Own architecture, design and build of shared data ingestion, transformation, orchestration, and processing capabilities
• Define and drive integration strategy across tools like dbt, Spark and Beam
• Lead implementation of data quality, observability, security, testing and deployment standards
• Collaborate with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform solves real-world problems
• Evaluate and adopt new technologies to support AI-powered workflows and modern data engineering
• Contribute to the data platform roadmap and influence future investment decisions
• Mentor and develop engineers, raising the team's technical capability and leading by example

• Significant technical leadership in data engineering or data platform roles
• Strong architectural expertise across data & AI platforms (ingestion, processing, storage, transformation)
• Hands-on experience in transitioning to an AI-native data engineering landscape
• Strong Python and SQL with experience using dbt, Spark and Terraform
• Extensive experience with GCP or equivalent cloud platform, IaC, and CI/CD
• Deep understanding of data storage and modelling (dimensional modelling, lakehouse) and governance/security (GDPR) at platform level
• Experience building and operating production-scale data pipelines (performance, reliability, cost)
• Collaborative leadership, ability to influence direction, and excellent communication to technical and non-technical audiences

• Mentoring and people development
• Strong collaboration across teams
• Clear, effective communication with diverse stakeholders
• Python
• SQL
• dbt