Lead Data Engineer - Reporting & Data Analytics

About the role

LCH Ltd, part of the London Stock Exchange Group, is looking for a Lead Data Engineer (Manager level) to lead the Reporting & Data Analytics platform for SwapClear and Listed Rates. The platform underpins regulatory reporting, risk visibility, member reporting and internal analytics, and is being transformed from legacy on-premise Oracle / Informatica stacks to a cloud-native, Snowflake-based data platform. The role sets the technical direction, delivers features and ensures platform stability, while leading a team of engineers.

Key responsibilities

• Own the end-to-end data solutions for reporting and data analytics across SwapClear and Listed Rates.
• Lead the safe migration from the legacy Oracle / Informatica platform to the cloud architecture, including legacy decommissioning.
• Lead the design, implementation and multi-year phased delivery of the platform.
• Define and drive the evolution of the strategic cloud data platform so it fits the use cases of SwapClear and Listed Rates.
• Ensure the platform meets the availability, performance, resilience and security expected of a systemically important clearing house.
• Assist Product Owners and Delivery Leads with delivery planning, and act as a senior technical partner to Group Architecture, Group Data Governance and business partners.
• Partner with Quality engineering on the software development lifecycle, testing standards, automation and cloud-native practices.
• Build relationships with internal and external partners and promote shared quality goals.

Required profile

• 15+ years of hands-on software engineering experience, including at least 5+ years as a technical lead.
• Leadership of enterprise-scale Snowflake (or similar) data platform implementations.
• Ability to engage with Group Architecture, Group Data Governance and senior business partners.
• Experience in regulated, high availability environments and in the financial industry is desired.

Required skills

• ELT data architectures using dbt or similar.
• Cloud data lake and data warehouse solutions, with SQL, PL/SQL and Python.
• Data governance, lineage and control frameworks; immutable, incremental and versioned data architectures.
• Prior experience with Informatica PowerCenter or similar.
• Desired: large-scale real-time and batch orchestration, observability platforms such as DataDog, Agile frameworks (Scrum, Kanban), and knowledge of cyber security standards.