about this role

Data Engineer – Hedge Fund

Are you passionate about data engineering and eager to work at the forefront of quantitative trading? We are partnered with a leading global trading firm looking for a talented Data Engineer to play a crucial role in curating and processing large-scale structured and unstructured datasets.

In this role, you will collaborate closely with quantitative researchers and business operations teams to design high-impact data queries and pipelines. Your contributions will directly enhance the firm’s systematic trading strategies, providing a competitive edge in global financial markets.

Key Responsibilities:

• Take ownership of multiple datasets with unique schemas and delivery frequencies.
• Partner with researchers to deliver high-value, well-structured datasets.
• Design, automate, and maintain custom data pipelines.
• Extract, clean, and normalize raw data for research and trading applications.
• Optimize high-performance schemas and queries for large-scale data processing.
• Implement data quality checks and alerting systems to ensure data integrity.
• Develop tools for monitoring and analyzing datasets.
• Build scalable cloud-based data services to support research and trading.

Required Skills & Experience:

• Proven experience in data engineering with a strong track record of delivering business impact.
• Prior ownership of data projects, demonstrating strong analytical and quantitative abilities.
• Proficiency in ETL development and data pipeline automation.
• Strong coding skills in Python, SQL, and experience with cloud platforms.
• Ability to translate complex market research concepts into scalable data solutions.

Preferred Qualifications:

• Experience with data manipulation, query design, and optimization.
• Familiarity with time-series forecasting and machine learning techniques.
• Knowledge of data science methodologies and tools such as DBT.
• Strong communication skills to collaborate with internal teams and external data vendors.
• Degree in Computer Science, Mathematics, or a related field.