Senior Data Engineer | Systematic Trading
A Top-tier quant fund is hiring a Senior Data Engineer to help architect and scale a global Data Lakehouse that feeds directly into live trading strategies. If you’ve already been building data infrastructure inside a hedge fund or HFT shop, you’ll know what this role really means: low-latency, high-availability, globally distributed data pipelines that quant teams trust every day.
This is your chance to level up from patching legacy pipelines to building the core platform used by quant researchers and traders across desks and regions.
What You’ll Be Driving
* Architect and build a global Lakehouse platform (Data Lake + OLAP) in AWS
* Develop scalable data pipelines in Python, working with SDKs and data libs
* Own end-to-end data modeling, ingestion, validation, and optimization for high-concurrency access
* Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.)
* Deliver tailored solutions directly to quants and traders – real impact, real visibility
* Take the lead on cloud infra design, deployment, and automation
What You Bring
* 5+ years building data platforms in systematic trading, fintech, or high-throughput environments
* Mastery of Python and SQL – C++ is a plus
* Experience with cloud-native stacks (ideally AWS) and interest in infrastructure as code
* A structured, pragmatic mindset with strong ownership and autonomy
* Ability to work closely with front-office teams and iterate fast
* Finance background is a strong plus — you get why PnL depends on good data
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology and Finance
Industries
Financial Services, Technology, Information and Media, and Investment Banking
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