Senior Data Engineer | High Performing Systematic Hedge Fund
We are seeking a skilled senior data engineer to join a dynamic team in Paris responsible for building a global and scalable data lakehouse which will be used by multiple trading desks at the fund. This role offers the opportunity to work with cutting-edge technologies and collaborate with multiple trading teams to drive data-driven decision-making.
Key Responsibilities:
- Design, develop, and maintain a robust data lakehouse solution for use by multiple trading desks.
- Collaborate with trading teams to understand their data needs and provide tailored solutions.
- Implement data pipelines in python using data libraries and cloud software development kits (APIs).
- Optimise performance, data storage and retrieval processes for efficiency and scalability.
- Ensure the data lake and Online Analytical Processing DB (OLAP) is able to handle large volumes and highly concurrent data acess.
- Ensure data quality, security, and compliance with industry standards.
Requirements:
- Proven experience in data engineering, with a strong focus on Python, SQL, and AWS.
- Demonstrated ability to build and manage scalable data plaforms.
- Experience with asynchronous programming for concurrency, scalability, and performance.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively with cross-functional teams.
- A proactive and innovative mindset, with a passion for leveraging data to drive business success.
On offer from the fund:
- Competitive salary and benefits package.
- Opportunity to work in a fast-paced and innovative environment.
- Professional development and growth opportunities.
- A supportive and collaborative team culture.
If you are ready to take your data engineering career to the next level and make a real impact, we would love to hear from you. Apply now to join our team and be part of an exciting journey in the financial sector.
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