Data Engineer (DV Equities)
Core
Build and maintain data infrastructure powering trading, research, and risk systems for a proprietary trading firm's Asia-Pacific equities and futures market-making business.
Role type
Data Engineer
Builds
Scalable data pipelines for market and trading data
Domain
Financial services / Proprietary trading / Market data
Deliverable
production ML models
Required skills
Python, SQL, Data pipeline tools (Airflow, Kafka, Spark), Relational and non-relational databases, Data lake/warehouse technologies, Data modeling, ETL/ELT processes
Preferred skills
Financial markets or trading data experience
Technologies
Airflow, Kafka, Spark
Responsibilities
Design and maintain scalable data pipelines for ingesting, processing, and storing market data; Clean, validate, and enrich raw data; Optimize data storage and query performance for low-latency requirements; Collaborate with researchers and traders to deliver efficient data solutions; Integrate data pipelines into trading and research infrastructure; Monitor data quality and troubleshoot pipeline issues; Document data flows and schemas.