Senior Data Engineer | Systematic Trading

ZipRecruiter; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

A top-tier quant fund is seeking a Senior Data Engineer to architect and scale a global Data Lakehouse that supports live trading strategies. This role offers the opportunity to transition from legacy systems to creating a core platform relied upon by quant researchers and traders. You will design and build data pipelines in Python, optimize data models for performance, and lead cloud infrastructure design. If you have a strong background in systematic trading or fintech, this is a chance to make a real impact in a fast-paced environment.

Qualifications

• 5+ years of experience in building data platforms in systematic trading or fintech.
• Strong mastery of Python and SQL, with a plus for C++ knowledge.

Responsibilities

• Architect and build a global Lakehouse platform in AWS.
• Develop scalable data pipelines and optimize for high-concurrency access.

Skills

Python

SQL

Data Modeling

Cloud Infrastructure (AWS)

C++

Job description

Job Description

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- 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