Data Engineering Lead

Manager, Data Engineering Lead – SwapClear and Listed Rates, LCH Ltd, London

LCH Ltd is an international multi‑asset class central counterparty clearing house (CCP) providing critical risk management services to a global client base. This role offers the opportunity to lead the transformation of our Reporting & Data Analytics platform, ensuring resilience, performance and governance for one of the most critical finance technology functions in the world.

Key Responsibilities

• Technology owner of the end‑to‑end data solutions for reporting and data analytics across SwapClear and Listed Rates.
• Lead the safe migration from legacy Oracle/Informatica platform to the target cloud architecture and take accountability for successful legacy decommissioning.
• Lead design, implementation and multi‑year phased delivery for the new data platform.
• Define and drive evolution of the strategic cloud data platform, ensuring it is fit for purpose for SwapClear and Listed Rates use cases.
• Ensure the end‑to‑end platform meets availability, performance, resilience and security expectations of a systemically important clearing house.
• Assist Product Owners and Delivery Leads with delivery planning of business goals and outcomes.
• Act as a senior technical partner to Group Architecture Authority, Group Data Governance, Product and business partners.
• Partner with Quality engineering to deliver high quality software using modern testing standards, automation and cloud‑native practices.
• Build and maintain strong relationships with internal and external partners, using influence and trust to drive alignment, resolve challenges and promote shared quality goals.

Required Experience, Skills and Traits

• 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.
• Experience with ELT data architectures using dbt or similar cloud data lake and data warehouse solutions.
• Strong skills in SQL, PL/SQL and Python for data‑centric solutions.
• Expertise in data‑warehouse modelling and immutable, incremental, versioned data architectures.
• Experience with enterprise‑scale data modelling, governance, lineage and control frameworks.
• Solid engineering background for deep design and implementation.
• Prior experience with Informatica PowerCenter or similar.
• Quality‑first mindset and strong problem‑solving skills.
• Credibility to influence group‑level architecture and governance bodies.
• Passionate about data‑driven metrics and practical AI experience in data engineering or migration use cases.

Desired Experience, Skills and Traits

• Experience operating in regulated, high‑availability environments.
• Degree in Computer Science, Software Engineering or equivalent.
• Knowledge of on‑premise and cloud technology operation.
• Experience with large‑scale real‑time and batch process orchestration, optionally with third‑party engines.
• Understanding of cyber‑security standards, secure‑by‑design principles.
• Agile framework experience (Scrum, Kanban).
• Background in the financial industry.
• Experience with modern observability platforms such as DataDog.

We are a proud equal‑opportunity employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.