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 / Beneficiosoffice in Madridownership of technical products/projectsexposure to fintech, AI,



and quantcollaboration with talented professionalshands-on impact from day oneResponsabilidadesDesign and develop data pipelines importing data from external vendors and partners into the central data platformContribute to platform enhancement to meet evolving business needs and conduct regular testingMaintain data platform reliability and ensure data quality and integrity for the investment processCollaborate with internal stakeholders to improve data accessibility and usability; drive adoption of advanced analytics technologiesRequisitos principales3-6 years as a data engineer or related roleMinimum 2.1 in Computer Science or related field (preferably Russell Group or top EU university)Hedge fund experience xhfqzwm is highly desirableExperience designing and building data pipelinesProficient in SQL, Python, AWS; familiarity with Git and AirflowAbility to test and troubleshoot data platforms; track record of improving data reliability and qualityExcellent communication and teamwork skillsOffice-based in Madrid; fluent in Spanish and Englishcommunicationteamworkstakeholder collaborationSQLPythonAWS

📌 Senior Engineer, Data Engineering (España)
🏢 MindMatch
📍 España