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.

Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.

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

What they’re looking for:

• 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. xsgimln

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