Senior Quant Data Engineer
Core
Build robust data pipelines and mission-critical infrastructure handling tick-by-tick market data and execution logs for algorithmic trading systems.
Role type
Senior Quantitative Data Engineer
Builds
Scalable, performance-optimized data ecosystems and analytics platforms for global markets
Domain
Financial technology / Algorithmic trading / Market microstructure
Required skills
Python (Numpy, Pandas, Polars), PostgreSQL (query optimization), Data pipeline orchestration (Airflow, Dagster), Applied statistics, REST API development
Preferred skills
C++ (low-latency concepts), R (research/visualization), Machine Learning, AI
Technologies
Python, PostgreSQL, Airflow, Dagster, FastAPI, Django, Numpy, Pandas, Polars
Responsibilities
Design and optimize high-throughput data pipelines for market and execution data; Build and manage scheduled data workflows for 24/7 availability; Monitor pipeline health and implement automated data-quality checks; Build REST API applications to serve analytics to internal and external systems; Partner with quants to translate TCA research into production features
