Data Engineer

In this role you will build and maintain data pipelines feeding a central data platform used for investment processes. You will contribute to platform development, testing and data reliability within a fintech/AI/quant context. The position offers close collaboration with cross-functional teams and hands-on ownership of technical projects from Madrid. You will work on high-impact data solutions for financial data and analytics, shaping how data supports decision-making in trading and investments.

• office in Madrid
• ownership of technical products/projects
• exposure to fintech, AI, and quant
• collaboration with talented professionals
• hands-on impact from day one

• Design and develop data pipelines importing data from external vendors and partners into the central data platform
• Contribute to platform enhancement to meet evolving business needs and conduct regular testing
• Maintain data platform reliability and ensure data quality and integrity for the investment process
• Collaborate with internal stakeholders to improve data accessibility and usability; drive adoption of advanced analytics technologies

• 3-6 years as a data engineer or related role
• Minimum 2.1 in Computer Science or related field (preferably Russell Group or top EU university)
• Hedge fund experience is highly desirable
• Experience designing and building data pipelines
• Proficient in SQL, Python, AWS; familiarity with Git and Airflow
• Ability to test and troubleshoot data platforms; track record of improving data reliability and quality
• Excellent communication and teamwork skills
• Office-based in Madrid; fluent in Spanish and English

• communication
• teamwork
• stakeholder collaboration
• SQL
• Python
• AWS