Data Engineer

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.

• 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.

• 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, * 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
• 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