Data Engineer

Job Description

Data Engineer – Quantitative Trading

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Location: New York City (Hybrid)

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Salary: Up to $150,000 Base + Performance Bonus

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Employment Type: Full-Time

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About the Opportunity

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We're partnering with an established, global multi-strategy hedge fund seeking a talented Data Engineer to join its expanding quantitative technology team.

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This is an opportunity to work at the intersection of data engineering, financial markets and quantitative research, developing the infrastructure that supports sophisticated investment strategies and live trading operations.

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You'll join a small, collaborative engineering team where you'll have genuine ownership, exposure to experienced quantitative researchers and the opportunity to influence the evolution of the firm's data platform.

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The environment is technically challenging, fast-paced and ideal for engineers who enjoy solving complex data problems with direct business impact.

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What You'll Be Doing

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• Design, develop and maintain scalable data pipelines supporting quantitative research and live trading.
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• Build robust data processing systems using Python, handling large volumes of financial and market data.
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• Work closely with quantitative researchers to deliver reliable, high-quality datasets for investment strategies.
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• Integrate new market data sources into existing infrastructure.
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• Develop automated data validation, monitoring and quality assurance processes.
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• Optimise database performance, storage and data retrieval.
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• Contribute to the architecture and ongoing development of the firm's core data platform.
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• Collaborate with engineers and researchers to improve the performance, reliability and scalability of data systems.
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What We're Looking For

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• 1+ years Python programming
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• Experience working with financial datasets
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• Solid understanding of ETL/ELT pipelines and modern data engineering principles.
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• Experience working with relational databases, data warehouses or data lakes.
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• Familiarity with Linux/Unix environments.
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• Understanding of database performance optimisation and data processing at scale.
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• Strong analytical and problem-solving abilities.
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• A degree in Computer Science, Mathematics, Physics, Engineering or a related quantitative discipline.
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Why Consider This Role?

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• Competitive compensation – up to $150,000 base salary plus discretionary performance bonus.
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• Join an established global hedge fund with a strong presence across international financial markets.
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• Work directly with quantitative researchers and trading technology specialists.
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• Gain exposure to sophisticated trading strategies and large-scale financial datasets.
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• Significant technical ownership within a growing engineering team.
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• Opportunity to influence the design and development of business-critical data infrastructure.
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Interested?

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If you're a Python-focused Data Engineer with experience in financial markets and an interest in quantitative trading, we'd be keen to hear from you.

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Apply directly or reach out for a confidential discussion.