Senior Data Engineer

Join our Data Engineering team at the heart of a quantitative investment firm, powering the infrastructure which drives our systematic trading strategies and cutting-edge discretionary research. You'll help architect a multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, MongoDB, and more. This is an opportunity to tackle complex distributed systems challenges at exceptional scale.

• Experience working with large scale messaging and downsampling solutions
• Strong academic record and a degree with high mathematical and computing content eg Computer Science, Mathematics, Engineering or Physics
• 5-7 years of professional experience in software engineering with Java or Python as your primary language and knowledge of both
• Proficient on Linux platforms and strong understanding of Git
• Deep knowledge of one or more relevant database technologies such as Iceberg, Postgres, or MongoDB
• Strong problem-solving skills and attention to detail
• Strong communication and collaboration abilities
• Ability to work independently and gather requirements from stakeholders
• Experience in Banking/Asset Management/Financial Services

Advantageous to have

Familiarity with distributed systems and orchestration

Experience with performance optimization and large-scale data processing

Contributions to open-source projects

Experience working with Large Language Models (LLMs)