Data Engineer at hkjc

Language

Location: Hong Kong, Hong Kong
Level: senior
Posted: Aug 4, 2026

Summary from listing

The Hong Kong Jockey Club is hiring a Cloud Data Engineer to design, develop, test, and operationalise scalable ETL/ELT pipelines using PySpark and SQL on AWS. The role manages cloud data lakes, medallion-architecture data flows, pipeline performance and cost, production support, data governance, security, streaming, infrastructure-as-code, DevOps, and data visualisation. Candidates should have 5–8 years of data-engineering experience, including production PySpark and SQL work, cloud data-platform architecture, and experience with AWS, Terraform or CloudFormation, and related monitoring and testing practices.

Required Skills

PySpark
SQL
AWS
ETL/ELT
Kafka
Terraform
Power BI
Python

Additional Information

Required Previous Experiences: 5–8 years of hands-on data-engineering experience focused on scalable cloud ETL/ELT pipelines
5–8 years of production experience with PySpark and SQL for large-scale data processing
3+ years of end-to-end data-pipeline lifecycle management, monitoring, observability, and production support
3+ years architecting, implementing, and managing cloud data platforms on AWS
Experience with data governance, security, and compliance
Experience with real-time data streaming technologies such as Kafka or Solace
Experience with infrastructure-as-code using Terraform or CloudFormation
Experience with DevOps and DataOps practices, including CI/CD, automated testing, and pipeline monitoring
Experience migrating from on-premises data platforms to the cloud
Preferred Qualifications: AWS Data Analytics Specialty or Solutions Architect Associate/Professional certification
Data visualisation certification in Power BI, Tableau, or QlikView