Senior Analytics Engineer – SQL / Snowflake / dbt

Project overview

We are looking for a freelance Senior Analytics Engineer to support a fast-growing technology company operating in a demanding international environment.

You will join a Data team at the heart of performance, reliability, and data valorization challenges.

Your mission will be to ensure the continuity and evolution of strategic data models, while contributing to various projects combining Data Engineering, Analytics, and Reporting.

Your main missions:

An ideal mission for an experienced freelancer wishing to work on high-value Data issues, with real technical autonomy.

Profile sought

You have at least 5 years of experience in Analytics Engineering or Data Engineering, with significant experience in production environments.

Essential skills:

Experience in regulated environments or with financial reporting issues is a plus.

You are autonomous, rigorous, pragmatic, and capable of interacting with technical and business stakeholders.

Professional English is essential.

Work environment

You will join an experienced Data team within a dynamic technological organization where data quality and reliability are strategic.

Why join this mission?

• Design, develop, and maintain data models and Data Marts.
• Develop and optimize data transformations with SQL, Snowflake, and dbt.
• Ensure the reliability of processes and the quality of data in production.
• Maintain and evolve critical reporting models.
• Guarantee the consistency and traceability of data between different systems.
• Develop automated tests and maintain technical documentation.
• Collaborate with Data, Product, and Engineering teams.
• Ensure structured knowledge and development transfer.
• SQL: advanced expertise in modeling and optimization.
• Snowflake: significant experience in a production environment.
• dbt: mastery of incremental models, macros, tests, and packages.
• Git / CI/CD: good practices for versioning, code review, and automation.
• Data Modeling: design of robust, documented, and maintainable models.
• AI Tools: use of Claude Code, Cursor, or GitHub Copilot in development workflows.
• Varied, complex, and technically stimulating Data projects.
• High autonomy and a central role in development.
• A modern environment using Snowflake, dbt, and AI-assisted development tools.
• Regular interactions with Product, Engineering, and business teams.
• An international context and an organization that promotes remote work.

Project details

• Start: 01/11/2026
• Duration: 3 mois renouvelable
• Remote: hybrid
• Location: Paris, Île-de-France, FR
• Languages: French