Data Engineer
Data Engineer joining a consultancy's new Madrid office to build and maintain data pipelines and the central data platform supporting investment decisions in fintech, AI and quant. Day-to-day: pipeline development, platform testing and maintenance, and data quality work using SQL, Python, AWS, Git and Airflow.
- Compensation
- Not disclosed
- Location
- Madrid, Spain
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3-6 years of experience as a data engineer or related role
- Minimum 2.1 degree in Computer Science or related field, ideally from a Russell Group or top 10 Spain/EU university
- Expertise in designing and building data pipelines
- Proficient in SQL, Python, AWS and other data management technologies
- Familiarity with version control systems like Git and orchestration tools like Airflow
- Ability to test and troubleshoot data platforms reliably, with a track record of improving data reliability and quality
- Excellent communication skills and ability to work in a team-based environment
- Fluent Spanish and English
- Based in Madrid or willing to commute to the office daily (office-based 5 days a week)
Nice to have
- Hedge fund experience
Full description
Job ID: 39114Location: SpainEmployment: FULL_TIMEPosted: 2025-10-10Consultant: Rob AllyData Engineer to join a fast-expanding consultancy, specialising in creating data, AI, software solutions for the finance sectors.
La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.
You will be joining the brand-new office in Madrid.We are seeking a Data Engineer for our client’s Data Analytics Team.
This role involves building data pipelines to the firm’s central data platform as well as development, testing and maintenance of said platform to ensure the availability, reliability, and integrity of data critical to the investment process.
You will be working with the latest in fintech, AI and Quant.
Please note, it is essential to speak Spanish and English fluently.
This role is office based and you must be based in Madrid or willing to commute to the office daily.
No visa applications will be accepted.What's on offer:You can have an impact from day one – we empower and trust our people to leverage their skillsetsWork on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trendsDeliver demonstrable business value working hand-in-hand with the customerLearn from industry experts on how financial markets and world economies workOwnership of technical products and projects – actively engage with a wide range of business functions to leverage their knowledge and exposureWhat you'll be doing:Data Pipeline Development: Design and develop sophisticated data pipelines to import data from external vendors, sell-side partners, and other providers seamlessly into our central data platformPlatform Development & Testing: Contribute to the ongoing enhancement of our platform to ensure it aligns with ever-changing business requirements.
Test the system regularly to confirm its effectiveness and perform troubleshooting when necessaryPlatform Maintenance & Data Reliability: Ensure our platform is well-maintained, enabling uninterrupted access to crucial data points.
Continuously verify data quality and integrity essential for our investment processContinuous Improvement & Collaboration: Collaborate with internal stakeholders to streamline data accessibility and usability. xkdbapo
Drive innovation by adopting advanced analytics technologies and methodologiesKey requirements:3-6 years of experience as a data engineer or a related roleMinimum 2.1 in degree obtained in Computer Science, or a related field, ideally from a Russell Group University or a top 10 University in Spain / EUHedge fund experience is highly desirableExpertise in designing and building data pipelinesProficient in SQL, Python, AWS and other data management technologiesFamiliarity with version control systems like Git and orchestration tools like AirflowAbility to test and troubleshoot data platforms reliably.