Data Software Engineer – London-based hedge fund

Oxford Knight; London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading global trading firm in London is seeking a skilled Data Software Engineer to join their Global Data Engineering team. In this role, you will architect high-performance frameworks for financial data and collaborate across teams. Ideal candidates should have advanced Python skills and expertise in system design. This position offers market-leading compensation, career growth opportunities, and a flexible hybrid work environment.

Benefits

Market Leading Compensation

Innovative Environment

Career Growth Opportunities

Work-Life Balance initiatives

Qualifications

• Expertise in designing scalable data architectures for financial instruments.
• Experience with high-throughput data models and cloud technologies.
• Strong communication skills to collaborate with technical teams.

Responsibilities

• Architect and implement a high-performance framework for financial instruments.
• Build and optimize data pipelines for data ingestion and processing.
• Collaborate with cross-functional teams to align data solutions with trading objectives.

Skills

Advanced programming skills in Python

Strong system design and data modelling expertise

Knowledge of cloud storage and deployment

Excellent communication skills

Job description

Social network you want to login/join with:

Data Software Engineer – London-based hedge fund, London

col-narrow-left

Client:

Oxford Knight

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

883e105d196b

Job Views:

20

Posted:

12.08.2025

Expiry Date:

26.09.2025

col-wide

Job Description:

Location: London, UK

A top-tier global trading firm is seeking a skilled Data Software Engineer to join its London-based Global Data Engineering team. In this role, you’ll architect and implement a high-performance framework for modelling financial instruments, working with a complex ecosystem of financial and alternative datasets to drive strategic decision-making in low- to high-frequency trading.

Role Overview

As a key contributor to the data engineering team, you’ll tackle some of the most challenging problems at the intersection of financial data and technology, including:

• Designing and deploying a scalable, high-throughput data model to unify financial instrument identifiers across vendors, markets, and timeframes.
• Building and optimizing data pipelines for global data ingestion, processing, and validation with Python
• Leveraging cloud technologies (e.g. S3) to handle massive datasets while maintaining performance standards.
• Collaborating with cross-functional teams worldwide to align data solutions with trading objectives and technical requirements, ensuring consistency and precision in data handling.

Your Skill Set

• Advanced programming skills in Python, with an emphasis on performance and efficiency in data-heavy applications.
• Strong system design and data modelling expertise, ideally with financial instruments, allowing you to build robust, scalable data architectures.
• Knowledge of cloud storage and deployment, with experience handling large datasets at a global scale.
• Excellent communication skills for effective collaboration with engineering and trading teams, translating business requirements into technical solutions.

What’s On Offer

• Market Leading Compensation: Bonus guarantee, sign on + extensive benefits
• Innovative Environment:Work in a team that values creativity, experimentation, and technical excellence
• Career Growth:Opportunities to lead technical initiatives and mentor emerging talent
• Work-Life Balance:Hybrid working and a range of flexibility initiatives to support your well-being