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.
Compensaciones / Ventajas
- office in Madrid
- ownership of technical products/projects
- exposure to fintech, AI, and quant
- collaboration with talented professionals
- hands-on impact from day one
Responsabilidades
- 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
Requisitos principales
- 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