Company Introduction:
We’re home to Asia's most dynamic and vibrant capital markets.
Connecting capital, ideas, inspiration and innovation for deeper, more diverse and liquid global capital markets; providing greater choice and opportunity for our customers, each and every day.
HKEX is a purpose-driven company. Our commitment to the long-term development of our business and our markets is articulated in our purpose: "To Connect, Promote and Progress our Markets and the Communities they support for the prosperity of all."
Job Summary:
The Data Engineer (Associate) under Chief Data Office Data Engineering team is a critical role in designing and maintaining scalable data pipelines and infrastructure that support enterprise-wide analytics and reporting.The incumbent will collaborate closely with data analysts, business stakeholders, and the Site Reliability Engineering (SRE) team to ensure data integrity, performance, and availability. The ideal candidate will have deep expertise in SparkSQL, Python, HDFS, and Trino.
Job Duties:
Job Responsibilities:
Support the data transformation team in delivering high‑quality, reliable data solutions
Work with senior engineers, analysts, and business stakeholders to understand requirements and translate them into technical tasks
Develop and maintain data pipelines using SparkSQL and Python under senior guidance
Assist in managing data storage, retrieval, and organization within HDFS
Use Trino to perform distributed SQL queries and support BI/reporting needs
Contribute to ensuring data quality, integrity, and security across systems
Monitor pipeline performance and assist in performance tuning and optimization
Troubleshoot data issues and support production incident handling
Work with the SRE lead and senior engineers on incident investigation and root‑cause analysis
Assist the Data Analytics team in conducting data exploration and performing data lineage analysis
Deliver high‑quality, maintainable data engineering work as part of the team
Build and enhance ETL workflows and data models with mentorship
Help ensure the stability, scalability, and performance of data infrastructure
Support business intelligence and reporting through efficient data transformations
Participate in on‑call rotations or incident processes as assigned
Mandatory Skills & Qualifications:
- 5+ years of experience in data engineering or a related technical field
Hands-on experience with SparkSQL for data processing
Familiarity with HDFS and distributed file systems
Working experience with Trino, Presto, or other distributed SQL engines
Proficiency in Python for data manipulation and automation
Understanding of ETL concepts, data modeling, and pipeline design
Basic knowledge of distributed computing and big data ecosystems
Basic proficiency in English and Mandarin (written and verbal)
- Experience with Tableau or similar BI tools
Exposure to cloud platforms (AWS, Huawei HCS, etc.)
Understanding of SQL performance tuning concepts
Familiarity with data governance, data quality frameworks, or metadata management
Exposure to capital markets, trading systems, or investment workflows
HKEX is committed as an Equal Opportunity Employer. Diversity is one of our core values and we look to support, respect diverse perspectives, abilities, culture and experiences within our workplace.
Location:
HK-DTH 9/FShift:
Standard - 40 Hours (Hong Kong SAR)Scheduled Weekly Hours:
40Worker Type:
PermanentTop Skills
What We Do
HKEX Group is a global exchange group, operating dynamic and integrated financial markets in Asia and Europe. From our home in the financial hub of Hong Kong and an additional base in London, we provide world-class facilities for trading and clearing securities and derivatives in Equities, Commodities, Fixed Income and Currency. Uniquely positioned at the intersection of Chinese and international capital flows, Hong Kong has long been Connecting China with the World. With the accelerated opening-up of China’s capital markets, HKEX continues to be at the forefront of this historic transition, which we believe will Shape the Global Market Landscape
