Data Engineering Lead

Join LCH, a leading clearing house, as a Data Engineering Lead. 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 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.
• Collaborate with internal and external partners to drive alignment, resolve challenges, and promote shared quality goals, while ensuring the platform meets availability, performance, resilience, and security requirements.
• Deep expertise in
• Solid experience of data-centric solution using SQL, PL/SQL and Python
• Prior experience working with Informatica PowerCenter or similar solutions
• Data warehouse modelling approaches
• Immutable, incremental and versioned data architectures
• Shown leadership of enterprise scale Snowflake (or similar) data platform implementations
• Quality-first approach
• Enterprise scale data modelling
• Practical and relevant AI experience in data engineering / migrations use cases
• 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
• ELT data architectures, using dbt or similar
• Strong engineering background with the ability to engage deeply in design and implementation
• Seniority and credibility to influence group level architecture and governance bodies
• Cloud data lake and data warehouse solutions
• Passionate about metrics driven approach and leading with data
• Data governance, lineage and control frameworks
• Detail oriented problem solver, comfortable “diving-deep”
• Experience operating in regulated, high availability environments
• Degree in Computer Science, Software Engineering or equivalent
• Experience of large-scale real-time and batch process orchestration, optionally with third-party orchestration engines
• Knowledge and practical experience running technology both on prem and in cloud
• 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