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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer II (Data Platform) - **Company:** Rightmove - **Location:** UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Continuous Integration, Information Engineering, Data Infrastructure, Data Security, Python (Programming Language), Machine Learning, Software Architecture, SQL Databases, Data Storage Technologies, Cloud Platform System, Data Ingestion, Apache Spark, Build Management, AI Platforms, Terraform, Data Pipelines - **Published:** September 24, 2026 - **Apply:** https://www.totaljobs.com/job/senior-data-engineer/rightmove-job108028458 ## About the Role 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., * 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. * Genuinely cares for the growth and development of engineers around them, investing in mentoring, creating a culture of technical excellence, and supporting others * Hands on experience transitioning to an AI-native Data Engineering landscape * A strong Python and SQL engineer with 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, and 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. ## Description * 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, and leading by example, and help engineers at all levels develop ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [This App Reached 10,000 Users in One Week. 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