OverviewIn 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 Madrid
ownership of technical products/projects
exposure to fintech, AI, and quant
collaboration with talented professionals
hands-on impact from day one
ResponsabilidadesDesign 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 principales3-6 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

📌 Data Engineer (España)
🏢 SRG Europe
📍 España