Data Engineer (DV Equities)
DV Trading1 month ago
Hong Kong, Hong KongMid Level
Responsibilities
- Design, build, and maintain scalable pipelines for ingesting, processing, and storing market and trading data.
- Clean, validate, and enrich raw data for research and production use.
- Optimize storage, query performance, and processing workflows for low-latency and high-throughput requirements.
- Collaborate with quantitative researchers, traders, and software engineers to deliver data solutions and integrate pipelines into trading and research infrastructure.
- Monitor data quality and pipeline health, troubleshoot issues, implement improvements, and document data flows, schemas, and processes.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or a related field.
- Strong proficiency in Python and SQL for data processing and analysis.
- Experience with data pipeline tools or frameworks such as Airflow, Kafka, or Spark.
- Familiarity with relational and non-relational databases and data lake or warehouse technologies.
- Understanding of data modeling, ETL/ELT processes, and data quality practices.
- Experience with large-scale datasets and performance optimization.
- Strong problem-solving, attention to detail, communication, and collaboration skills.
- Experience in financial markets or trading data is a plus.
Tech Stack
Categories
Data Engineering
About DV Trading
DV Trading is a privately held proprietary trading firm that makes markets and deploys its own capital across equities, futures, options, and commodities. Headquartered in Chicago and founded in 2006, it operates globally and spun out of a large brokerage in 2016. The firm provides liquidity to exchanges and offers hedging solutions to commodity producers and users; affiliates include broker-dealers and a cryptocurrency market-making business.