Data Engineer Quant Finance

Salary: £40,000 - 70,000 per year Requirements: • We are looking for someone with commercial experience in a similar Data Engineering or Analyst role, ideally gained within a market data vendor environment. • We need strong Python and SQL skills. • We are looking for experience building data pipelines and working with large datasets. • We need a strong understanding of data modelling and data engineering principles. • We are looking for a strong academic background with good analytical and problem-solving skills. • We value a product mindset and enthusiasm for building useful, reliable data solutions. • We need someone who is collaborative with excellent communication skills. Responsibilities: • We build, test and maintain robust data pipelines. • We work with large and complex financial datasets. • We develop data models and improve data quality. • We create tooling and infrastructure for Quant and Data Science teams. • We work with technologies such as Python and SQL. • We contribute to the continuous improvement of data products and processes. • Over time, we develop towards more Data Science and Quantitative responsibilities. Technologies: • Python • Quant • SQL More: We are a scaling Investment Research tech company working in a financial markets environment. This Data Engineer role is based in London with hybrid working, including three days a week in the office and flexibility to work from home for the other two days. The position is engineering focused, with the opportunity to develop towards more quantitative and data science work over time. We offer a salary of up to 120k plus bonus, three weeks per year to work anywhere, 25 days holiday increasing to 30, a pension with 9% total contribution, healthcare for you and your family, a Cycle to Work scheme, and an Employee Assistance Program. last updated 37 week of 2026