Principal Data Engineer

Principal Data Engineer

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Shape a strategic data platform for high-volume trading data and enable engineering teams.
  • Company: Join HKEX, a leading global exchange group connecting East and West.
  • Benefits: Enjoy a competitive salary, career growth, and a dynamic work environment.
  • Other info: Work in a collaborative culture with opportunities to influence technology strategy.
  • Why this job: Make a real impact on innovative data solutions in a fast-paced industry.
  • Qualifications: 10+ years in software development with expertise in scalable data platforms.

The predicted salary is between 72000 - 88000 £ per year.

  • Principal Data Engineer
  • Shift
  • Pattern: Standard 40 Hour Week (United Kingdom)
  • Scheduled
  • Weekly
  • Grade: C - Vice
  • President
  • Reporting
  • Line: (UK Division)
  • Information
  • Technology
  • 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/Open Shift, Terraform, CI/CD, Git Ops, and Infrastructure as Code.
  • Lead metadata, lineage, and data discovery capabilities using technologies such as Data Hub, Open Metadata, 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.
  • Bonus for knowledge of: 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.
  • Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock

Code:388) and one of the world’s leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.

As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through its pioneering Connect schemes, increasingly diversified product ecosystem and its deep, liquid and international markets.

HKEX is a purpose-led organisation which, across its business and through the work of HKEX Foundation, seeks to connect, promote and progress its markets and the communities it supports for the prosperity of all.

Discover the latest career opportunities and programmes at HKEX.

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Principal Data Engineer employer: HKEX Group

As a Senior Analyst in Market Data Governance at HKEX, you will thrive in a dynamic and inclusive work environment located in the heart of London. The company prioritises employee growth through continuous learning opportunities and fosters a collaborative culture that values diverse perspectives. With a commitment to innovation and excellence, HKEX offers competitive benefits and the chance to contribute to meaningful projects that shape the future of global financial markets.

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Contact Details:

HKEX Group Recruitment Team

We think you need these skills to ace Principal Data Engineer

Software Development
JVM Based Languages (Java/Scala/Kotlin)
Data Platform Development
Data Warehousing (SQL Server, Postgres)
Data Lakehouse Platforms
Apache Kafka
Apache Flink