Hybrid-Cloud Data Platform Engineer (Airflow/Spark)
Summary
A Data Platform Engineer will design, build, and maintain a hybrid-cloud data platform for a leading financial institution in Hong Kong, using Apache Airflow, Apache Spark, Kubernetes, and Docker. Day-to-day work centers on automating ETL/ELT pipelines, supporting data lakes, and running PoCs for new tools; strong English and Chinese communication skills are essential.
We are seeking a Data Platform Engineer for a leading financial institution in Hong Kong. You will design, build, and maintain a data platform using Apache Airflow, Apache Spark, Kubernetes, and Docker to support scalable data architectures and data lakes.
You will help automate end-to-end data pipelines (ETL/ELT), run PoCs for new tools, and operate in hybrid-cloud environments. Strong English and Chinese communication skills are essential.