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About the Role

Rightmove is seeking a Senior Data Engineer II to play a leading role in shaping the data platform for the UK's largest property marketplace. This role involves combining technical expertise with strategic thinking to build scalable, reliable data infrastructure and influence data engineering practices across the organization. You will drive the transition to AI-Assisted Data Engineering and work on platform capabilities supporting analytics, machine learning, AI initiatives, and data-driven decision-making at scale.

Responsibilities

Lead the design and evolution of Rightmove's data platform, making key architectural decisions for 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 improvement opportunities and influencing future investment decisions.
Take ownership of growing the team’s technical capability through mentoring, structured feedback, and leading by example, helping engineers at all levels develop.

Requirements

Significant technical leadership in data engineering or data platform engineering roles, with a track record of leading complex technical initiatives to completion without needing fully formed requirements.
Strong architectural expertise across modern data & AI platforms, including data ingestion, processing, storage, and transformation.
Hands-on experience transitioning to an AI-native Data Engineering landscape.
Strong Python and SQL engineering experience.
Experience using dbt, Spark, and Terraform.
Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices.
Deep understanding of data storage and modelling principles, including dimensional modelling, lakehouse patterns, and the governance and operational setup of tools like dbt.
Applies data security and GDPR principles in platform-level architectural decisions.
Experience building and operating production-scale data pipelines, balancing performance, reliability, and cost efficiency.
A collaborative leadership style, with the ability to influence technical direction, mentor others, and build alignment across teams.
Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Proactive in exploring how AI can support workflow and productivity with curiosity and an open mind.
Aged at least 18 or over.
Have read and understood the Privacy Policy.

Skills

Data Engineering
Data Platform Engineering
AI
Python
SQL
dbt
Spark
Terraform
GCP
Infrastructure as Code
CI/CD
Data Storage
Data Modelling
Dimensional Modelling
Lakehouse Patterns
Data Security
GDPR
Data Pipelines
AI-Assisted Data Engineering
AI-native Data Engineering

Location

London

Work Type

Hybrid
2 days per week in the office

Experience Level

Senior

Salary/Compensations

Competitive compensation package

Benefits

Cash plan for dental, optical and physio treatments
Private Medical Insurance
Pension
Life Insurance
Employee Assistance Plan
27 days holiday plus two (paid) volunteering days a year
Holiday buy schemes
Contributory stakeholder pension
Life assurance at 4x your basic salary
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 travel, electronics, fashion, gym memberships, cinema discounts and more

About the Company

Rightmove's vision is to give everyone the belief they can make their move, aiming to make moving simpler by providing access to tools, expertise, trust, and belief.
The company is home to the UK's largest choice of properties and is a destination for millions planning their next move, reading industry news, or browsing the market.
Rightmove has remained a friendly, supportive place to work, with employee #1 still working there.
The company culture is guided by the 'Rightmove Hows': We create value, We think bigger, We care deeply, We move together, We make a difference.
Rightmove believes in careers that open doors and help team members develop by providing an open and inclusive work environment, ongoing training opportunities, and supporting charity fundraising events.
88% of Rightmovers say it's a great place to work.

Equal Opportunity

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.
Rightmove believes that a diverse and inclusive workforce leads to better innovation, productivity, and overall success.
The company is 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.