Senior Data Engineer | High Performing Systematic Hedge Fund

Selby Jennings London; Paris; Sur place; EUR 60 000 - 100 000; Plein temps

Résumé du poste

An innovative firm in the financial sector is seeking a skilled senior data engineer to join their dynamic team in Paris. This exciting role involves designing and developing a global data lakehouse to support multiple trading desks, utilizing cutting-edge technologies to enhance data-driven decision-making. The ideal candidate will have a strong background in Python, SQL, and AWS, along with excellent problem-solving abilities and a collaborative mindset. Join a supportive and fast-paced environment that offers professional growth opportunities and the chance to make a significant impact in the industry.

Prestations

Competitive salary

Professional development opportunities

Collaborative team culture

Innovative work environment

Qualifications

• Proven experience in data engineering with a focus on Python, SQL, and AWS.
• Ability to build and manage scalable data platforms.

Responsabilités

• Design and maintain a robust data lakehouse for trading desks.
• Collaborate with teams to understand data needs and provide solutions.

Connaissances

Python

SQL

AWS

Asynchronous Programming

Problem-Solving

Communication Skills

Outils

Data Libraries

Cloud Software Development Kits (APIs)

Description du poste

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.