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.

About London Stock Exchange

• Immutable, incremental and versioned data architectures
• Experience of modern observability platforms e.g. DataDog

Responsibilities

• 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.
• Seniority and credibility to influence group level architecture and governance bodies
• Enterprise scale data modelling
• Quality-first approach

Requirements

• 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
• Passionate about metrics driven approach and leading with data
• 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

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

Preferred

• Prior experience working with Informatica PowerCenter or similar solutions
• Cloud data lake and data warehouse solutions
• Experience operating in regulated, high availability environments
• Background working in financial industry