Hong Kong Exchanges and Clearing Limited (HKEX)
Principal Data Engineer
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Principal Data Engineer
Shift 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: Permanent
The 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 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 using Apache Kafka and Apache Flink for low-latency event processing, enrichment, and data distribution.
- Drive performance engineering and scalability across data ingestion, storage, streaming, query, and analytics platforms.
- Design and build self-service data platform capabilities including APIs, data products, metadata services, and developer enablement frameworks.
- Implement cloud-native platform engineering practices using Kubernetes/OpenShift, Terraform, CI/CD, GitOps, and Infrastructure as Code.
- Lead metadata, lineage, and data discovery capabilities using technologies such as DataHub, OpenMetadata, or Apache Atlas to improve platform transparency and usability.
- Ensure platform security and regulatory compliance through fine-grained access controls, encryption, secrets management, auditing, and secure-by-design engineering principles.
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Bonus for knowledge of:
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- Automation/configuration management using toolsets such as Puppet, Chef, Ansible or equivalent
- Docker and Kubernetes.
- Knowledge and understanding of financial markets.
- Setting up CI/CD pipelines using Bamboo.
- Confluent certified developer for Apache kafka.
- Dollar Universe
Personal Qualities:
- Ability to work under pressure with changing priorities, with a view to resolving issues innovatively, and meeting key stakeholders expectations.
- A dynamic and self-motivated attitude.
- Accountable and proactive.
- Able to provide leadership and motivate team demonstrating strong interpersonal skills.
- Must display strong analytical skills and attention for detail.
- Demonstrates pragmatic judgement, balancing risk and business value to reach decisions which are well informed and actionable.
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