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

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

Job summary

A global multi-strategy hedge fund is hiring a Senior Data Engineer to optimize their cloud-native data platform. This role involves designing robust data pipelines and ensures high data quality while collaborating with various stakeholders. Candidates should have extensive experience in financial data models and system architecture, ideally from a hedge fund background. The position offers a competitive compensation package and a hybrid work model.

Qualifications

• 10+ years in data engineering, ideally at a hedge fund.
• Deep understanding of capital markets and financial data models.
• Strong knowledge of time series data and market data sources.

Responsibilities

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

Skills

Data Pipeline Design

Data Quality Monitoring

Collaboration

Mentorship

Education

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

Tools

AWS

Python

SQL/NoSQL

Terraform

CloudFormation

Job description

Social network you want to login/join with:

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

col-narrow-left

Client:

Radley James

Location:

slough, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

4

Posted:

16.06.2025

Expiry Date:

31.07.2025

col-wide

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.