Senior Data Engineer - Core Team - Multi-Strat Hedge Fund

JR United Kingdom; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

A leading multi-strategy hedge fund seeks a Senior Data Engineer to expand and optimise their cloud-native data platform. The role includes designing robust data pipelines and collaborating across teams while offering significant technical ownership and influence on data architecture. Competitive compensation and hybrid working model are part of the package.

Qualifications

• 10+ years in data engineering, ideally at a hedge fund.
• Deep understanding of capital markets and financial data models.
• Proven ability to deliver in high-pressure environments.

Responsibilities

• Ingest, normalise, and validate data from vendors.
• Enhance platform capabilities for historical and real-time datasets.
• Promote engineering best practices and mentor junior developers.

Skills

Data Pipeline Design

Data Normalisation

Data Quality Monitoring

Collaboration

Mentoring

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

AWS

Python

SQL

NoSQL

Terraform

CloudFormation

Job description

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Senior Data Engineer - Core Team - Multi-Strat Hedge Fund, london

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Client:

Radley James

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Company Overview

A global multi-strategy hedge fund managing a diverse range of investment strategies, including Credit, Convertible Arbitrage, Volatility, Event-Driven, Equity Long/Short, Capital Markets, and Quantitative Trading. The firm operates with a collaborative, high-performance culture driven by technology and data.

Role Overview

The team is seeking a Senior Data Engineer to help expand and optimise a cloud-native data platform powering trading, research, and operations. They will own the design and delivery of robust data pipelines handling structured, unstructured, and streaming data from both internal and external sources. The role offers broad exposure, technical ownership, and the opportunity to influence firm-wide data architecture.

Key Responsibilities

• Ingest, normalise, and validate data from vendors (Bloomberg, Refinitiv, exchanges)
• Enhance platform capabilities for historical, real-time, and alternative datasets
• Monitor data quality and ensure platform reliability
• Collaborate with stakeholders across technology, investment, and operations
• Promote engineering best practices and mentor junior developers

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 10+ years in data engineering, ideally at a hedge fund or multi-strategy platform
• Deep understanding of capital markets and financial data models
• Expertise in AWS and hands-on experience with Python, SQL/NoSQL
• Strong knowledge of time series data and market data sources
• Familiarity with DevOps tools (Terraform, CloudFormation)
• Proven ability to deliver in high-pressure, fast-paced environments

This opportunities offers a highly competitive compensation package and hybrid working model.