BestEx Research
Quant Data Engineer
- Location
- Bengaluru
- Work mode
- Onsite
- Experience
- 1–4 yrs exp
- Pay
- ₹12–25 LPA (Est.)
- Type
- Full-time job, AI & ML
- Added
- 14 November 2026
About this role
BestEx Research builds execution algorithms and transaction cost analysis tools for hedge funds, asset managers and banks, delivered through its cloud-based Algo Management System. This Bengaluru role sits in the team that runs the firm's core data ecosystem, which handles tick-by-tick market data and execution logs. Day to day, you would build and schedule data pipelines in Python, R and PostgreSQL, watch pipeline health and add automated data-quality checks. You would also maintain REST APIs that serve analytics and work with senior quants and product managers to turn TCA research into production features and client analyses. The role needs 1–4 years of experience. It suits engineers with strong Python, SQL and statistics who want exposure to market microstructure and algorithmic trading.
BestEx Research is hiring for Quant Data Engineer, a full-time role based in Bengaluru (onsite).
Who can apply: 1–4 yrs exp. Skills: Python, Pandas, PostgreSQL, Airflow, Statistics.
Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.
What you'll do
- Design, build and optimise high-throughput data pipelines for market and execution data using Python, R and PostgreSQL
- Build and manage scheduled data workflows with tools like Airflow or Dagster for round-the-clock data availability
- Monitor pipeline health, debug data discrepancies in logs and implement automated data-quality checks
- Build and maintain REST API-based applications that serve analytics and performance metrics to internal systems and clients
- Work with senior quants and product managers to turn TCA research into production features and custom client analyses
What you need
- 1–4 years of experience
- BTech/MTech in Computer Science, Data Science, Statistics or a related quantitative field
- Expert Python (NumPy, Pandas, Polars, multiprocessing) and advanced PostgreSQL (complex joins, window functions, query optimisation)
- Hands-on experience building and orchestrating pipelines with Airflow, Dagster or Prefect
- Strong foundation in applied statistics and hypothesis testing
- Good communication skills and ability to explain technical findings to quants and clients
Skills
- Python
- Pandas
- PostgreSQL
- Airflow
- Statistics
"Est." = Hirastra's estimate based on market data, not an official figure.
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