We are seeking a Senior Data Engineer to be the first dedicated hire in our multi-manager hedge fund client in Hong Kong office. This role offers a unique opportunity to build and scale our data infrastructure from the ground up.
The ideal Lead / Senior Data Engineer must have a strong passion for data architecture and will lead the development of robust data systems to support operational and investment decisions.
If you are coming from financial services or trading environment this role is for you!
MUST:
- Experience in building data pipeline / data system from scratch
- Python and AWS
PLUS if you have experience / familiar with:
- Financial Data System
- Data visualization tools (Tableau, PowerBI)
- Machine learning pipelines and advanced analytics.
- Bloomberg API or other financial market data sources.
Role:
- Design, develop, and deploy scalable data pipelines for a multi-manager trading strategy.
- Manage structured and unstructured data systems from various sources.
- Collaborate with portfolio managers, analysts, and developers to address data needs with technical solutions.
- Implement data quality measures, monitoring systems, and anomaly detection for ongoing improvement.
- Lead data projects and contribute to the strategic development of data engineering capabilities.
Requirements:
- A Bachelor’s degree in Computer Science, Engineering, or a related field.
- Strong knowledge of data modeling, ETL pipelines, and data warehousing techniques
- Programming proficiency in Python, Scala, or Java.
- Hands-on experience with SQL and NoSQL databases
- Experience with big data tools such as Hadoop, Spark, Kafka
- Familiarity with data orchestration tools like Airflow