Senior Software Engineer | Data Systems | Quant Trading

We’re partnering with a renowned quantitative trading firm looking to hire a Senior Software Engineer to build the large-scale data infrastructure powering its research and trading teams.

This is a software engineering-focused data role, working on the core datasets and pipelines used by Quant Researchers and Traders across the business.

What you’ll work on:

• Building and operating large-scale data pipelines processing hundreds of terabytes to petabytes of data
• Owning the quality, reliability, and performance of critical source data
• Designing scalable systems to deliver data efficiently to research and trading teams
• Optimizing pipelines to improve latency while reducing compute and storage requirements
• Migrating existing workloads onto modern data platforms and hardware
• Building tooling to identify and resolve data-quality issues before they impact downstream users

• Strong experience building large-scale data pipelines and distributed systems
• Excellent Python and SQL skills with strong software engineering fundamentals
• Experience with AWS, Azure, GCP and/or HPC environments
• Strong system design and software architecture experience
• Experience with market data, C++, Iceberg/Delta, Spark, Trino or DuckDB is a plus

This is a high-impact opportunity to own foundational data infrastructure within a highly technical trading environment, working directly with the researchers and traders consuming what you build.

If you’re a strong software engineer who enjoys solving difficult data problems at serious scale, I’d be happy to share more.