Madrid - Data Engineer

Our Culture

We are looking for exceptional talent with excellent communication skills

Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users

Curiosity is something we embrace and value highly

We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities

People need to be able to take ownership and be trusted to deliver, going the extra mile

We want people who are highly motivated and have a high desire to learn

Responsibilities

We are seeking an experienced 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.

Key Expectations:

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 platform.

Platform 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 necessary.

Platform 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 process.

Continuous Improvement & Collaboration: Collaborate with internal stakeholders to streamline data accessibility and usability. Drive innovation by adopting advanced analytics technologies and methodologies.

What makes a great candidate

3-6 years of experience as a data engineer or a related role

Minimum 7.0 result in degree obtained in Computer Science, or a related field, ideally from a top-ranked university, as well as strong academic background prior.

Hedge fund experience is essential

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. A track record of improving data reliability and quality

Excellent communication skills and the ability to work effectively within a team-based environment

Self-starter, detail-oriented, and open to learning new technologies and methodologies

Why join us?

Make an impact from day one: we empower and trust our people to leverage and extend their skill sets

Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends

Deliver demonstrable business value working hand-in-hand with the customer

Learn from industry experts on how financial markets and world economies work