Data Engineer: Cloud-Powered Data Platforms & Pipelines
PFCC Group
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Job summary
PFCC Group, a leading digital financial institution, is seeking a Data Engineer to join its Data Services team in Hong Kong. Design, build, and optimise data lakes, pipelines, and processing systems to support analytics and operations.
Strong Python and cloud/data engineering experience required, with autonomous and collaborative work style. You will work with AWS services (S3, Glue, EMR, Lambda), Spark, Airflow, and databases such as Redshift/Athena.
Qualifications
- Bachelor's degree in Computer Science, IT, Engineering or related discipline.
- Proven experience in Data Engineering or Software Engineering.
- Strong hands-on Python and data processing with PySpark/Spark.
- Experience with AWS cloud services (S3, Glue, EMR, EC2, Lambda).
- Familiarity with data orchestration (Airflow) and databases (Redshift/Athena/Hive).
- Exposure to Kafka, Docker/Kubernetes, CI/CD, and Git is advantageous.
- Excellent analytical, problem-solving, and communication skills.
- Experience in banking/fintech is an advantage.
Responsibilities
- Design, build, and maintain data lakes, databases, and pipelines.
- Collaborate with data science and product teams to model data.
- Work with AWS cloud services to deliver scalable data solutions.
- Support CI/CD, testing, monitoring, and documentation across data environments.
Skills
Education
Tools
Job description
PFCC Group, a leading digital financial institution, is seeking a Data Engineer to join its Data Services team in Hong Kong. Design, build, and optimise data lakes, pipelines, and processing systems to support analytics and operations.
Strong Python and cloud/data engineering experience required, with autonomous and collaborative work style. You will work with AWS services (S3, Glue, EMR, Lambda), Spark, Airflow, and databases such as Redshift/Athena.
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