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Senior Data Engineer | High Performing Systematic Hedge Fund - Selby Jennings

Selby Jennings

Paris

Sur place

EUR 60 000 - 90 000

Plein temps

Il y a 18 jours

Résumé du poste

A leading fund in Paris is seeking a skilled senior data engineer to build a scalable data lakehouse. This role emphasizes collaboration with trading teams and offers opportunities for professional development in a fast-paced environment.

Prestations

Competitive salary and benefits package.
Professional development and growth opportunities.
Supportive and collaborative team culture.

Qualifications

  • Proven experience in data engineering with focus on Python, SQL, and AWS.
  • Ability to build/manage scalable data platforms.
  • Experience with concurrent programming and OLAP technologies.

Responsabilités

  • Design, develop, and maintain a robust data lakehouse solution.
  • Collaborate with trading teams to provide tailored data solutions.
  • Implement data pipelines using Python and cloud SDKs.

Connaissances

Python
SQL
AWS
Data Engineering
Asynchronous Programming
Problem Solving
Communication

Outils

S3
ClickHouse
Redshift

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 - Redshift and / or Clickhouse) 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 S3, ClickHouse, Redshift, and / or similar data lake and OLAP database technologies.
  • 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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