Lead Data Engineer

Join LCH, a leading clearing house, as a Lead Data Engineer. You will be responsible for setting the technical direction of the Reporting & Data Analytics platform, delivering features, and ensuring ongoing stability during and after the transformation to a cloud-native architecture. You will lead a team of engineers, design and build solutions, and ensure the platform evolves into a scalable, governed platform that supports our members, clients, and internal partners.

- Lead the technical direction and delivery of the Reporting & Data Analytics platform, ensuring alignment with engineering principles and best practices. - Oversee the migration from legacy Oracle/Informatica platforms to a cloud-native, Snowflake-based data platform, taking accountability for successful legacy decommissioning. - Act as a senior technical partner to Group Architecture Authority, Group Data Governance, and Product and business partners, influencing group-level architecture and governance bodies.

- Practical and relevant AI experience in data engineering / migrations use cases - Seniority and credibility to influence group level architecture and governance bodies - Enterprise scale data modelling - Quality-first approach - 15+ years of hands-on software engineering experience, including at least 5+ years as a technical lead, with consistent track record of delivering high-quality solutions - Immutable, incremental and versioned data architectures - Passionate about metrics driven approach and leading with data - Prior experience working with Informatica PowerCenter or similar solutions - ELT data architectures, using dbt or similar - Strong engineering background with the ability to engage deeply in design and implementation - Data warehouse modelling approaches - Solid experience of data-centric solution using SQL, PL/SQL and Python - Deep expertise in - Shown leadership of enterprise scale Snowflake (or similar) data platform implementations - Detail oriented problem solver, comfortable “diving-deep” - Data governance, lineage and control frameworks - Cloud data lake and data warehouse solutions - Experience operating in regulated, high availability environments - Degree in Computer Science, Software Engineering or equivalent - Knowledge and practical experience running technology both on prem and in cloud - Experience of large-scale real-time and batch process orchestration, optionally with third-party orchestration engines - Good understanding of cyber security standards and practices and follows secure-by-design principle - Experience of working with agile frameworks like Scrum, Kanban - Background working in financial industry - Experience of modern observability platforms e.g. DataDog