DataOps Engineer / Site Reliability Engineer – Data team (Paris / Hybrid)
50-59K | 🌍 International environment | 🛠️ GCP, Kubernetes, dbt, Airflow, Python
A fast-growing B2B SaaS scale-up is looking for a Data ops / Site Reliability Engineer to join their Data Platform team in Paris. This team plays a mission-critical role across the business to enable data-driven decisions at scale. You’ll be the bridge between Data Engineering and Platform teams, focused on building and maintaining scalable, secure and automated data infrastructure.
🔍 What you’ll be doing:
- Own and optimise data infrastructure on GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage…)
- Support containerization and orchestration (Kubernetes, Docker)
- Implement Infrastructure as Code (Terraform)
- Improve automation and observability across the data stack (Airflow, dbt, Metabase, etc.)
- Drive security, documentation and operational excellence
✅ What we're looking for:
- A previous experience as DataOps / DevOps or SRE
- Strong hands-on experience with GCP, Kubernetes, CI/CD
- Proficient in Python or Go + scripting (Shell)
- Exposure to modern data tooling (dbt, Airflow, Airbyte a plus)
- Solid communication skills, comfortable working in a multicultural and agile environment
💡 Why join?
- High-impact role in a company scaling fast globally
- Hybrid work (2–3 days in the Paris office)
- International environment (English-speaking team)
- Ownership of infrastructure and tooling decisions