Data Engineer

Glocomms; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading quantitative finance firm in Greater London is seeking a skilled Data Engineer to build mission-critical data systems. In this role, you'll design and scale platforms for massive volumes of market data and tackle complex distributed systems tasks. The ideal candidate should have 5-7 years of software engineering experience with Java or Python, and a strong academic background in a related field. Join a team that values engineering excellence and intellectual curiosity, shaping how data drives investment decisions.

Qualifications

• 5–7+ years of professional software engineering experience.
• Deep understanding of relevant databases.
• Confidence working independently and collaboratively.

Responsibilities

• Engineer mission‑critical data systems for researchers and trading teams.
• Design and scale platforms for large volumes of data.
• Solve distributed systems challenges at scale.

Skills

Software engineering experience with Java or Python

Working in Linux environments

Problem-solving skills

Experience with databases (Iceberg, Postgres, MongoDB)

Clean design and high-quality engineering

Education

Strong academic background in Computer Science, Engineering, Mathematics, or Physics

Tools

Git

Job description

Build the data backbone of modern quantitative finance.

We're looking for an exceptional Data Engineer to join a high‑performing Data Engineering team working at the core of a quantitative investment environment. This team builds the platforms that power systematic trading strategies, sophisticated research, and real‑time investment decisions.

You'll be working on a multi‑petabyte data platform, ingesting and processing billions of datapoints every day from thousands of global data sources—tackling hard distributed systems problems at serious scale.

If you enjoy working where engineering excellence directly impacts outcomes, this role is for you.

What makes this role exciting

• Engineer mission‑critical data systems used directly by researchers and trading teams
• Design and scale platforms handling massive volumes of market, alternative, and research data
• Solve complex challenges across distributed systems, performance, reliability, and scalability
• Work in a modern stack combining Java and Python, with Kafka, ArcticDB, MongoDB, and Linux‑based infrastructure
• Operate close to both cutting‑edge research and production decision‑making

What you’ll be building

• High‑performance services for data ingestion, storage, versioning, and access
• Scalable, fault‑tolerant data pipelines supporting research and trading workflows
• Platforms optimised for speed, accuracy, and reproducibility at enterprise scale
• Systems where performance, correctness, and engineering discipline truly matter

What you bring

• A strong academic background in Computer Science, Engineering, Mathematics, Physics, or similar
• 5–7+ years of professional software engineering experience with Java or Python
• Solid experience working in Linux environments and with Git
• Deep understanding of databases such as Iceberg, Postgres, or MongoDB
• A passion for problem‑solving, clean design, and high‑quality engineering
• Confidence working independently, gathering requirements, and collaborating across teams

Nice to have

• Experience with distributed systems, streaming, or orchestration frameworks
• Hands‑on exposure to large‑scale data processing and performance optimisation
• Contributions to open‑source projects
• Experience working with Large Language Models (LLMs) or AI‑driven tools

Why this role stands out

This is a chance to work on deep technical problems at extraordinary scale, in an environment that values engineering craft, intellectual curiosity, and real‑world impact. Your work won't sit in the background—instead it will directly shape how data is used to drive investment decisions.

📩 Apply now or reach out directly to start the conversation.