Data Engineer – Leading Financial Institution
Summary
PFCC Group is recruiting a Data Engineer for a leading digital financial institution in Hong Kong. The role designs, builds, and maintains data lakes, pipelines, and batch/real-time processing on AWS, using Python, PySpark/Spark, Airflow, and services like S3, Glue, EMR, and Redshift in collaboration with data science and product teams.
Our client, a leading digital financial institution, is seeking a Data Engineer to join its Data Services team. This role focuses on designing, maintaining, and improving data platforms and infrastructure that support critical analytical and operational functions across the organisation.
We are looking for a logical, adaptable, and hands-on Data Engineer with strong Python and cloud/data engineering experience, who is comfortable working independently and collaborating with data scientists, product teams, and other engineers.
Key Responsibilities:
- Data Platform & Pipeline Development: Design, build, maintain, and optimise data lakes, databases, data pipelines, and batch/real-time processing systems.
- Data Integration & Modelling: Collaborate with data science and product teams to integrate new data sources, structure data schemas, and develop scalable data models.
- Cloud & Big Data Engineering: Work with AWS and big data technologies to deliver reliable, scalable, and high-performing data solutions.
- Monitoring & Engineering Best Practices: Support workflow orchestration, testing, CI/CD, version control, monitoring, documentation, and troubleshooting across data environments.
Qualifications and Requirements:
- Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Proven experience in Data Engineering, Software Engineering, or a related technical role.
- Strong hands‑on experience with Python and data processing technologies such as PySpark/Spark.
- Experience with AWS cloud services, particularly S3, Glue, EMR, EC2, Lambda, or similar.
- Familiarity with data orchestration tools such as Apache Airflow, and databases such as Redshift, Athena, or Hive/Hadoop.
- Exposure to Kafka, Docker/Kubernetes, CI/CD, and Git is highly advantageous.
- Strong analytical and problem‑solving skills, with the ability to work independently and deliver projects end‑to‑end.
- Excellent communication and collaboration skills, with good command of English.
- Experience in banking, financial services, or fintech is an advantage.