Data Engineer Quant Finance

Client Server; Greater London; Hybrid; GBP 40,000 - 70,000; Full time

Benefits offered by this job

Bonus

Healthcare for you and your family

Cycle to Work scheme

Employee Assistance Program

9% pension contribution

Three weeks per year to work anywhere

25 days holiday increasing to 30

Job summary

Client Server in London with hybrid working (3 days in office, 2 days WFH) is seeking a Data Engineer/Analyst. You will build data pipelines, model data, and contribute to scalable data products in a market data environment.

The role offers strong Python/SQL usage and growth toward data science tasks. The package includes a salary up to £120,000 plus bonus, three weeks per year to work anywhere, 25 days holiday (30 with tenure), a 9% pension contribution, healthcare for you and your family,

Qualifications

• Commercial experience in a similar Data Engineering or Analyst role.
• Strong Python and SQL skills.
• Experience building data pipelines and handling large datasets.
• Strong understanding of data modelling and data engineering principles.
• Product mindset and collaborative with excellent communication skills.

Responsibilities

• Build, test and maintain robust data pipelines.
• Work with large and complex financial datasets.
• Develop data models and improve data quality.
• Create tooling and infrastructure for Quant and Data Science teams.
• Work with Python and SQL.
• Contribute to the continuous improvement of data products and processes.
• Over time, develop towards more Data Science and Quantitative responsibilities.

Skills

Python

SQL

Data pipelines

Data modelling

Communication

Education

Strong academic background

Job description

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