Data Engineer

Job description

Stratos supports clients in transforming their information systems. We operate in high-stakes environments and drive operational and digital performance.

We are seeking a Snowflake Data Engineer to design and deploy scalable, high-performance data platforms in demanding contexts (tech scale-ups, SMEs/mid-caps in transition).

Your mission

Working alongside a Stratos Partner, you will contribute to some or all of the following workstreams:

• Scope business priorities and structure data requirements.
• Design modern data architectures on Snowflake.
• Develop high-performance ELT pipelines; maintain and continuously optimise them.
• Establish data governance (data quality, security, cross-entity sharing).
• Automate deployments (CI/CD, Infrastructure as Code) and monitor data flows.
• Coach internal teams or integrators and structure documentation.

Profile

• At least 5 years' experience in data engineering within a cloud environment.
• Proven, hands-on experience delivering Snowflake projects to production.
• Pragmatic, business-impact orientation (able to work under time constraints with KPI-driven objectives).

Key technical skills

• Mastery of Snowflake (performance, pipelines, storage, security).
• Advanced SQL and Python scripting.
• Strong understanding of ELT flows and their industrialisation (dbt, Fivetran, Matillion, etc.).
• Snowflake integration with AWS/Azure/GCP.
• DevOps/CI/CD practices: GitLab, Jenkins, Terraform, etc.
• Knowledge of governance and security (RBAC, masking, data sharing, etc.).

Nice to have

• Snowflake certifications (Core/Advanced).
• Experience with Spark/Scala.
• Familiarity with MDM tools, data catalogs, or governed-data solutions.

Engagement details

• 2–3 days per week on average.
• Fully remote possible, with occasional travel to Paris.
• Direct collaboration with the project team (Data Analyst, Project Partner).

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