Senior Data Engineer | Systematic Trading

NJF Global Holdings Ltd; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

An established industry player in financial services is seeking a Senior Data Engineer to architect and scale a global Data Lakehouse. This role offers the opportunity to build high-performance data pipelines that are crucial for live trading strategies. You will take ownership of data modeling and optimization, working closely with quant teams to deliver impactful solutions. If you have a strong background in systematic trading and a passion for data infrastructure, this is your chance to make a real difference in a dynamic environment. Join a team that values innovation and expertise in a rapidly evolving sector.

Qualifications

• 5+ years building data platforms in systematic trading or fintech environments.
• Mastery of Python and SQL; C++ knowledge is a plus.

Responsibilities

• Architect and build a global Lakehouse platform in AWS.
• Develop scalable data pipelines and own end-to-end data modeling.

Skills

Python

SQL

C++

Data Modeling

Cloud Infrastructure Design

Education

5+ years in data platforms

Tools

AWS

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-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