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.

Location: London (Hybrid, 2 days per week in the office)
Reporting to: Data Engineering Manager

Help shape the future of data at Rightmove

At Rightmove, our vision is to give everyone the belief they can make their move. Millions of people use our platform every month, generating data that powers better experiences for consumers and customers across the property market.

We're looking for a Senior Data Engineer II to play a leading role in shaping the data platform that underpins the UK's largest property marketplace. You'll combine deep technical expertise with strategic thinking to build scalable, reliable data infrastructure while influencing how data engineering is practised across the organisation.

This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition to AI-Assisted Data Engineering and should have solid experience in this area.

A note from your future manager: "This role architects and builds how our data platform, transformation layer, and processing frameworks work together at scale, so the whole business can build on solid ground."

What you'll be doing

Lead the design and evolution of Rightmove's data platform, making key architectural decisions that support long-term scalability, reliability, and performance
Own the architecture, design and build of shared platform capabilities for data ingestion, transformation, orchestration, and processing across batch and real-time workloads.
Own the integration strategy across tools such as dbt, Spark and Beam
Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards
Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems
Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering and AI-powered workflows, agents and automations
Contribute to the data platform roadmap, identifying opportunities for improvement and influencing future investment decisions.
Take ownership of growing the team’s technical capability through mentoring, structured feedback