Senior Data Engineer II Data Platform

Senior Data Engineer II Data Platform Overview

At Rightmove, we are dedicated to simplifying the moving process for everyone, providing access to the tools, expertise, and trust needed to make informed decisions. As the UK’s largest property marketplace, we are seeking a Senior Data Engineer II to help shape our data platform, which plays a crucial role in enhancing user experiences.

This position is based in London and operates on a hybrid model, requiring at least two days per week in the office. You will report to the Data Engineering Manager and will be instrumental in developing scalable and reliable data infrastructure that supports analytics, machine learning, and data-driven decision-making.

Key Responsibilities

• Lead the design and ongoing development of Rightmove’s data platform, making critical architectural decisions that ensure long-term scalability, reliability, and performance.
• Take ownership of the architecture, design, and construction of shared platform capabilities for data ingestion, transformation, orchestration, and processing for both batch and real-time workloads.
• Develop and implement an integration strategy utilizing tools such as dbt, Spark, and Beam.
• Oversee the implementation and adoption of data quality, observability, security, testing, and deployment standards.
• Collaborate closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure that platform capabilities address real-world challenges.
• Evaluate and integrate new technologies to help the organization adopt modern data engineering practices and AI-powered workflows.
• Contribute to the data platform roadmap by identifying areas for improvement and influencing future investment decisions.
• Mentor team members to enhance their technical skills through structured feedback and leading by example.

Qualifications

• Proven technical leadership in data platform engineering roles, with a history of successfully completing complex technical projects without needing fully defined requirements.
• Strong architectural knowledge of modern data and AI platforms, including data ingestion, processing, storage, and transformation.
• A commitment to the growth and development of fellow engineers, fostering a culture of technical excellence through mentoring.
• Hands-on experience in transitioning to an AI-native Data Engineering environment.
• Proficiency in Python and SQL, with experience in using dbt, Spark, and Terraform.
• Extensive experience with GCP or a similar cloud platform, along with knowledge of Infrastructure as Code and CI/CD practices.
• Deep understanding of data storage and modeling principles, including dimensional modeling and lakehouse patterns, while applying data security and GDPR principles in architectural decisions.
• Experience in building and maintaining production-scale data pipelines, ensuring a balance between performance, reliability, and cost efficiency.
• Collaborative leadership style with the ability to influence technical direction and mentor team members.
• Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.

Benefits

• Cash plan for dental, optical, and physiotherapy treatments.
• Private medical insurance, pension, and life insurance.
• Employee assistance plan.
• 27 days of holiday plus two paid volunteering days annually, along with holiday buy schemes.
• Contributory stakeholder pension.
• Life assurance at four times the basic salary for a spouse, family member, or other nominated individual.
• Competitive compensation package.
• Paid leave for maternity, paternity, adoption, and fertility.
• Travel loans, bike-to-work scheme, and rental deposit loans.
• Charitable contributions through payroll giving and donation matching.
• Access to deals and discounts on travel, electronics, fashion, gym memberships, cinema tickets, and more.

Rightmove is an Equal Opportunity Employer, committed to fostering a diverse and inclusive workforce. We believe that a diverse team leads to better innovation and productivity. We encourage applications from individuals of all backgrounds and identities.

Degree Requirement: Not Specified

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