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# Principal Data Engineer

- **Company:** Hong Kong Exchanges and Clearing Limited
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon S3, Apache HTTP Server, Information Engineering, Data Warehousing, Distributed Data Store, Java Virtual Machine (JVM), PostgreSQL, Microsoft SQL Server, Software Engineering, Apache Spark, Kotlin, Information Technology, Low Latency, Data Management, Data Lakehouse
- **Published:** September 10, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/principal-data-engineer/46512975

## About the Role

Principal Data EngineerShift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: C - Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: PermanentThe purpose of this role is to help shape the LME's strategic data platform which can reliably process, store, and serve high-volume, high-velocity trading data at scale, while providing engineering teams with reusable, self-service capabilities that accelerate the delivery of trading and analytical solutions.Success in this role means delivering a highly scalable and resilient data platform that becomes the engineering foundation for all data-intensive trading workloads, enabling faster innovation, improved reliability, reduced operational complexity, and better utilisation of market and trading data across the organisation.Strong Required Demonstrable Experience of:A candidate for this position must have got working experience in IT organisation as a

## Description

technologist who has evolved from a strong background in hands on software development: 10+ years of experience with software development, preferably working with JVM based languages (Java/Scala/Kotlin).Provide expertise on the development of highly scalable data platforms, data warehouses (SQL server, Postgres), and modern data lakes.Solve complex scalability, reliability, latency, and performance challenges associated with large-scale distributed systems.Provide self-service platform capabilities that allow engineering teams to onboard, process, discover, and consume data efficiently.Influence technology strategy and roadmaps across Trading Technology, Data Engineering, and Platform Engineering functions.Build high-volume distributed data platforms capable of processing billions of events per day and managing terabytes scale datasets.Develop modern Data Lakehouse platforms leveraging S3-compatible object storage, Apache Iceberg, Spark, and Trino.Build real-time streaming integration