Senior Data Platform Engineer

Doctolib (France); France; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Vacation days

Mental health and coaching services

Remote work days policy

Lunch vouchers

Job summary

Doctolib is seeking a Senior DataOps Engineer to strengthen the Data and AI Platform. You will automate data product management, orchestrate pipelines with Dagster, and monitor platform reliability at scale.

You will collaborate with data engineers and scientists to improve governance, data quality, and cost observability across teams. The role requires 5+ years in DataOps or similar, strong Python, Kubernetes, ArgoCD, Crossplane skills, and experience with Terraform in a GCP environment.

Qualifications

• More than 5 years in DataOps or similar role with complex data infrastructures.
• Strong proficiency with data engineering and infra tools (Kubernetes, ArgoCD, Crossplane).
• Expertise in Python programming.
• Familiar with cloud infrastructure (preferably GCP) and IaC tools like Terraform.
• Excellent problem solving for data infra bottlenecks and performance.
• Fluent in English; knowledge of data governance best practices.

Responsibilities

• Maintain the Data Product Controller enabling automated data product management via CI/CD and IaC.
• Maintain Dagster-based orchestrator for decentralised Data Mesh release pipelines.
• Monitor data platform performance and reliability; troubleshoot and fix issues.
• Provide observability tools for costs, data quality, and data lineage insights.
• Monitor platform costs and identify optimization opportunities with stakeholders.
• Contribute to platform architecture, scalability, and developer experience across teams.

Skills

Kubernetes

ArgoCD

Crossplane

Python

CI/CD

Data governance

English

Tools

Dagster

Terraform

Datadog

Git

Job description

Doctolib is seeking a Senior DataOps Engineer to strengthen the Data and AI Platform. You will automate data product management, orchestrate pipelines with Dagster, and monitor platform reliability at scale.

You will collaborate with data engineers and scientists to improve governance, data quality, and cost observability across teams. The role requires 5+ years in DataOps or similar, strong Python, Kubernetes, ArgoCD, Crossplane skills, and experience with Terraform in a GCP environment.