Data Engineer Quant Finance

Client Server Ltd.; Greater London; Hybrid; GBP 80,000 - 120,000; Full time

Benefits offered by this job

Work from anywhere 3 weeks per year

Holiday 25 → 30 days

Pension 9%

Healthcare

Cycle to Work

Employee Assistance

Job summary

Client Server Ltd. in London is seeking a Data Engineer (Quant Finance) to join a scaling Investment Research tech company, handling large, complex datasets with an engineering focus.

You will build data pipelines and infrastructure for Quants and Data Scientists, working across the full data lifecycle. The role emphasizes Python/SQL and gradual move into quantitative projects, with hybrid London office work three days per week.

Qualifications

• Commercial Data Engineering or Analyst experience, ideally in market data/finance environment.
• Strong Python and SQL skills with hands-on data pipeline experience.
• Experience building scalable data pipelines and datasets.
• Solid understanding of data modelling and data engineering principles.
• Good academic background with analytical and problem-solving abilities.

Responsibilities

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

Skills

Python

SQL

Data pipelines

Data modelling

Problem solving

Job description

London, Greater London | £80k - £120k per year

Data Engineer (Quant Finance) London / WFH to £120k

Are you a bright, ambitious Data Engineer, looking for the opportunity to work with large, complex datasets in a financial markets environment?

You could be progressing your career at a scaling Investment Research tech company with great benefits and perks.

As a Data Engineer you'll build the data pipelines and infrastructure that enable Quants and Data Scientists to do their best work. This is an engineering focused role, with the opportunity to develop your career towards more quantitative and data science work over time.

You'll work across the full data lifecycle, building and testing pipelines, modelling datasets and improving the quality and reliability of data used by quantitative teams. You'll have plenty of scope to develop your technical skills and gradually take on more advanced quantitative projects.

What you'll be doing:

• Building, testing and maintaining robust data pipelines
• Working with large and complex financial datasets
• Developing data models and improving data quality
• Creating tooling and infrastructure for Quant and Data Science teams
• Working with technologies such as Python and SQL
• Contributing continuous improvement of data products and processes
• Over time, developing towards more Data Science / Quantitative responsibilities

Location / WFH:

You'll join colleagues in the London office three days a week with flexibility to work from home the other two days.

About you:

• You have commercial experience in a similar Data Engineering / Analyst role, ideally gained within a market data vendor environment
• You have strong Python and SQL skills
• You have experience of building data pipelines and working with large datasets
• You have a strong understanding of data modelling and data engineering principles
• You have a strong academic background with good analytical and problem solving skills
• You have a product mindset and enthusiasm for building useful, reliable data solutions
• You're collaborative with excellent communication skills

What's in it for you:

• Salary to £120k + bonus
• X3 weeks per year work anywhere
• 25 days holiday, increasing to 30
• Pension 9% (company contributes 5%, employee contributes 4%)
• Healthcare for you and your family
• Cycle to Work scheme
• Employee Assistance Program