Senior Data Ops engineer (x/f/m)

📋 Description

• Maintain Data Product Controller with CI/CD and IaC for automated data product ownership
• Operate the Data and AI Platform orchestrator (Dagster) for decentralised Data Mesh release
• Monitor data platform performance, reliability and troubleshoot issues to ensure availability
• Provide observability to cost, data quality, and data lineage for dev teams and data product
• Monitor platform costs and identify optimisation opportunities across stakeholders
• Contribute to platform architecture, scalability and developer experience

🎯 Requirements

• 5+ years as a DataOps Engineer or similar, with complex data infra experience
• Strong skills in Kubernetes, ArgoCD, Crossplane
• Programming in Python
• Cloud infrastructure experience, preferably GCP, and IaC with Terraform
• Problem-solving focus on data infra bottlenecks and performance
• Fluent in English

🎁 Benefits

• Fully cloud-native platform supporting web and mobile interfaces
• Hybrid work setup with up to 2 remote days per week
• Competitive health insurance and vacation allowances
• Relocation support for international mobility
• Access to AI tools and Doctolib tech culture resources
• Supportive policies for caregiver and disability accommodations