Software Engineer (Python, Snowflake)

Our client, a global quantitative and systematic investment firm is seeking a Software Engineer to join its Data Platform & Analytics team. This group is responsible for delivering a high-availability, enterprise-scale data platform used to analyze investment strategy performance across regions.

The role offers the opportunity to work at the core of a modern data ecosystem, partnering closely with engineers, analysts, and infrastructure teams to ensure scalable, secure, and reliable data pipelines in a fast-paced, high-performance environment.

Employment Type: Full-time permanent

Location: Paris, France (onsite)

Eligibility: EU citizens or candidates with existing EU work authorization only (no visa sponsorship)

Language: Ability to communicate in French is strongly preferred for local stakeholder collaboration

Compensation: EUR $120-280K base + bonus

Key Skills: Python and Snowflake are must haves

What You'll Do:

• Design, build, support, and optimize data pipelines and automation frameworks supporting multiple strategic initiatives.
  
• Serve as a Snowflake subject-matter expert, ensuring performance, scalability, security, and governance across environments.
  
• Collaborate with developers, analysts, and infrastructure teams to guarantee reliable data delivery and strong data governance practices.
  
• Contribute to the continuous evolution of a modern data platform, including automation, monitoring, and best-practice adoption.
  
• Operate effectively in a high-expectation, collaborative environment where quality, efficiency, and continuous improvement are core values.
  

Requirements

What You'll Bring:

• 5+ years of experience in Data Engineering and/or Database Administration roles.
  
• Deep hands-on expertise with Snowflake, including database design, performance tuning, RBAC, and data sharing.
  
• Strong Python skills for automation, data pipelines, and Snowflake integration (e.g., connectors, Snowpark).
  
• Advanced SQL skills and experience working with large analytical datasets.
  
• Solid understanding of data modeling, medallion architectures, and CI/CD workflows.
  
• Familiarity with cloud infrastructure, particularly AWS (S3, IAM, PrivateLink).
  
• Experience with orchestration and transformation tools such as Airflow and dbt.
  
• Experience supporting multi-region data environments, including Europe and APAC.
  
• Analytical, detail-oriented problem solver with strong ownership mentality.
  
• Clear communicator with the ability to collaborate effectively across cross-functional teams.
  

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