Senior Data Engineer II Data Platform

Senior Data Engineer II Data Platform Overview

At Rightmove, we are dedicated to empowering individuals with the confidence to make their next move. Our platform serves as the UK’s largest property marketplace, providing millions with access to a vast selection of properties, industry insights, and the tools necessary for a seamless transition. We are currently seeking a Senior Data Engineer II to play a pivotal role in shaping our data platform, which is essential for enhancing user experiences across the property market.

As a Senior Data Engineer II, you will leverage your technical expertise and strategic insight to build a scalable and reliable data infrastructure. This position offers a unique opportunity to influence data engineering practices across the organization, particularly in the context of AI-assisted data engineering.

Key Responsibilities

• Lead the design and ongoing development of Rightmove’s data platform, making critical architectural decisions to 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 processes, including the creation and dissemination of 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, facilitating the business’s transition to modern data engineering and AI-driven workflows, agents, and automations.
• Contribute to the data platform roadmap by identifying areas for enhancement and influencing future investment strategies.
• Mentor team members to enhance their technical skills through structured feedback and leading by example, fostering the development of engineers at all levels.

Qualifications

• Demonstrated technical leadership in data platform engineering roles, with a proven history of successfully leading complex technical projects to completion without fully defined requirements.
• Strong architectural knowledge of modern data and AI platforms, including data ingestion, processing, storage, and transformation.
• A genuine 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.
• Proficient in Python and SQL, with experience using dbt, Spark, and Terraform.
• Extensive experience with Google Cloud Platform (GCP) or a similar cloud service, along with familiarity in Infrastructure as Code and CI/CD practices.
• In-depth understanding of data storage and modeling principles, including dimensional modeling and lakehouse patterns, as well as governance and operational setup of tools like dbt, while applying data security and GDPR principles in architectural decisions.
• Experience in building and managing production-scale data pipelines, ensuring a balance between performance, reliability, and cost-effectiveness.
• A collaborative leadership style capable of influencing technical direction, mentoring others, and fostering alignment across teams.
• Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.

Benefits

• Comprehensive cash plan covering dental, optical, and physiotherapy treatments.
• Private medical insurance, pension plan, and life insurance.
• Employee assistance program and 27 days of annual leave, plus two paid volunteering days each year.
• Options for holiday purchase and a contributory stakeholder pension.
• Life assurance equivalent to four times the basic salary for designated beneficiaries.
• Competitive salary package with paid leave for maternity, paternity, adoption, and fertility.
• Travel loans, a bike-to-work scheme, and rental deposit loans.
• Opportunities for charitable contributions through payroll giving and donation matching.
• Access to various deals and discounts on travel, electronics, fashion, gym memberships, cinema tickets, and more.
• Hybrid working model requiring a minimum of two days in the office each week.

Join us at Rightmove, where we believe that a diverse and inclusive workforce fosters innovation and success. We are committed to creating a welcoming environment for all employees, reflecting the communities we serve. If you are ready to take the next step in your career and make a meaningful impact, we encourage you to apply.

Degree Requirement: Not Specified

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