An investment bank in Hong Kong seeks a Data Engineer to build and maintain scalable data pipelines supporting enterprise analytics and reporting.
Key Responsibilities
As a Data Engineer, you will build data pipelines, manage HDFS data, use SparkSQL/Python and Trino, and support secure, reliable data infrastructure.
- Support delivery of high-quality, reliable data solutions within the transformation team
- Work with engineers, analysts, and stakeholders to translate requirements into technical tasks
- Develop and maintain data pipelines using SparkSQL and Python under guidance
- Manage data storage and organisation in HDFS and perform distributed SQL queries using Trino
- Ensure data quality, integrity, security, and support BI/reporting through efficient transformations
- Monitor pipeline performance, troubleshoot issues, and assist in incident handling and root cause analysis
- Contribute to ETL workflows, data models, and infrastructure scalability with mentorship and collaboration
Candidate Profile
To excel in this role, you bring experience in SparkSQL, Python ETL, HDFS, and Trino/Presto, with strong focus on data quality, performance, and collaboration.
- 5+ years’ experience in data engineering or related technical field
- Hands-on experience with SparkSQL and Python for data processing and ETL
- Familiarity with HDFS, distributed file systems, and big data ecosystems
- Experience with Trino/Presto or other distributed SQL engines
- Understanding of ETL, data modelling, pipeline design, and basic English/Mandarin proficiency
Preferred Skills
- Experience with Tableau or similar BI tools
- Exposure to cloud platforms (e.g., AWS, Huawei HCS)
- Knowledge of SQL performance tuning
- Familiarity with data governance and data quality
- Exposure to capital markets or trading systems
About The Company
A financial market infrastructure organisation supports capital markets through trading and settlement services. It offers a collaborative environment focused on innovation, digital transformation, and talent growth.
Keywords: data engineering, data pipelines, analytics reporting, HDFS, SparkSQL, Python, financial services
What’s Next
Explore opportunities to grow your career in a fast-paced capital markets environment!
