Data Engineer - Centralized AI Team - Global Prop Trading Firm

Full-time

Mondrian Alpha

About the Role

This role sits inside the data engineering function that feeds every signal, backtest, and live trading decision the firm makes. The pipelines this person builds and maintains carry market data, trade data, and alternative data from source to the researchers and traders who depend on it being accurate, timely, and complete. If a data feed breaks or lags during market hours, research stalls and live strategies can trade on stale information.

What You'll Do

Design, build, and maintain data pipelines that ingest and normalize market, trade, and reference data at scale
Own data quality and latency SLAs for pipelines feeding quant research and live trading systems
Build and maintain time-series and event-driven data infrastructure supporting backtesting and production strategies
Partner directly with quant researchers and traders to understand data requirements and translate them into engineering specs
Monitor, troubleshoot, and improve reliability of production data systems
Evaluate and integrate new data sources as research needs evolve

Must-Haves

3+ years of data engineering experience in a production environment
Strong Python and SQL
Experience with large-scale or time-series data systems
Direct experience with market or financial data. This is non-negotiable for the role
Comfort working in a fast-moving, low-latency environment

Nice-to-Haves

Experience with kdb+/q or similar time-series databases
Exposure to streaming systems like Kafka
Cloud infrastructure experience (AWS or GCP)
Background supporting quant research or systematic trading teams

Why This Role

This is a small, high-leverage data engineering team where the pipelines this person owns are directly load-bearing for the firm's trading and research output. Compensation is top of market, structure is flat, and the pace matches a firm that trades in real time. For a data engineer who wants their infrastructure decisions to show up directly in trading performance, this is that.

Apply

Vacancy posted 4 days ago

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