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Salary
≈ $57k – $94k per year (Estimated)
Location
In office (Paris)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
We offer mandate recruitment services to leading companies across Switzerland. By understanding the unique requirements of different industries, TalentCloud.

Software Engineer - Python & Snowflake

Our client is a global, technology-driven investment organisation who is seeking a Software Engineer to join its Data Platform & Analytics team. This team delivers a high-availability, enterprise-scale data platform used to analyse investment strategy performance across global regions.

This role places you at the centre of a modern data ecosystem, working closely with engineers, analysts, and infrastructure teams to ensure scalable, secure, and reliable data pipelines in a fast-paced, high-performance environment.

Key Responsibilities

  • Design, build, support, and optimise data pipelines and automation frameworks for multiple strategic initiatives.
  • Act as the Snowflake subject-matter expert, overseeing performance, scalability, security, and governance across environments.
  • Collaborate with developers, analysts, and infrastructure teams to ensure robust data delivery and strong governance practices.
  • Drive ongoing enhancements to the modern data platform, including automation, monitoring, and adoption of best practices.
  • Contribute effectively within a high-expectation, collaborative environment focused on quality, efficiency, and continuous improvement.

Required Skills & Experience

  • 5+ years of experience in Data Engineering and/or Database Administration.
  • Deep hands-on expertise with Snowflake (database design, performance tuning, RBAC, data sharing).
  • Strong Python skills for automation, data pipelines, and Snowflake integration (e.g., connectors, Snowpark).
  • Advanced SQL skills and experience with large analytical datasets.
  • Strong knowledge of data modelling, medallion architectures, and CI/CD workflows.
  • Experience operating across multi-region data environments (Europe + APAC).
  • Analytical, detail-oriented, and proactive problem solver with strong ownership.
  • Clear and effective communicator, capable of working across cross-functional teams.

Nice-to-Have

  • Cloud infrastructure exposure, particularly AWS (S3, IAM, PrivateLink).
  • Experience with orchestration and transformation tools such as Airflow and dbt.
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