Data Engineer

Overview 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 / Beneficios 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 communication teamwork stakeholder collaboration SQL Python AWS