Working Environment Data engineering work is grounded in real operational needs, often involving imperfect data, technical constraints and organisational complexity. Engineers work closely with delivery teams and stakeholders to understand problems end to end and deliver robust, production-grade solutions. Collaboration, pragmatism and persistence are valued, alongside strong engineering craft. What You''ll Be Doing - Design, build and improve enterprise-scale data pipelines, platforms and services - Lead complex data engineering work end to end, from problem definition through build and operational use - Work directly with technical and non-technical stakeholders to translate real problems into effective data solutions - Engineer data integrations across diverse systems, including legacy and modern platforms - Build production-grade data solutions using strong software and data engineering practices - Improve data quality, lineage and metadata as first-class engineering concerns - Diagnose and resolve complex data and platform issues in constrained environments - Provide technical leadership and raise standards through example and delivery Your Experience To be successful in this role, you will bring: - Significant hands-on experience as a senior or lead data engineer on complex, real-world systems - Strong Python and Spark skills, with evidence of building and maintaining production data pipelines - Deep understanding of the data engineering lifecycle: ingestion, ..... full job details .....