Senior Data Engineer – Core – Multi-Strat Hedge Fund
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
Build scalable data pipelines using AWS (Glue, Lambda, EventBridge, Redshift)
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.