Data Engineer (CHINA)
Core
Build and maintain core data infrastructure for a quantitative research platform, ingesting and normalizing large-scale financial and alternative datasets from global vendors.
Role type
Senior Data Engineer (Financial Data Infrastructure)
Builds
Scalable data pipelines transforming raw vendor feeds into clean, research-ready datasets for systematic researchers and simulation platforms.
Domain
Quantitative finance / Financial data infrastructure
Deliverable
production ML models
Required skills
Python, SQL, Linux, financial data normalization, data pipeline design, data quality validation, columnar databases, object storage
Preferred skills
Experience with systematic trading environments, knowledge of multiple asset classes (equities, options, futures, fixed income, ETFs, FX)
Technologies
Parquet, Arrow, columnar databases, object storage
Responsibilities
Design and maintain scalable ingestion pipelines for market, reference, tick, and alternative data; Own normalization, validation, storage, and lifecycle management of research datasets; Develop and optimize Python- and SQL-based data processing workflows; Partner with researchers and infrastructure teams to onboard datasets and improve data quality; Build monitoring and automation tooling for platform reliability; Document data pipelines and engineering best practices.
Seniority
Mid-Senior, hands-on IC
