Senior DataOps Engineer — Scale Data Mesh & Observability

Doctolib; Levallois-Perret; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Free health insurance

Lunch vouchers (Swile)

Relocation support

Hybrid work up to 2 remote days/week

Mental health & coaching services

Résumé du poste

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris, France. The role focuses on building a scalable, observable data platform used by Data Product developers and owners to create, deploy, and maintain data products at scale.

You will own automation and infrastructure tooling (CI/CD, Terraform), work with Dagster for data orchestration, and collaborate with data engineers and scientists to improve performance and reliability across the platform.

Qualifications

• 5+ years of experience as a DataOps Engineer or similar role.
• Strong proficiency in data engineering and infrastructure tools (Kubernetes, ArgoCD, Crossplane).
• Experience with cloud infrastructure, preferably GCP, and IaC tools like Terraform.
• Fluent in English.

Responsabilités

• Maintain the Data Product Controller to automate data product management via CI/CD and IaC.
• Maintain the Data and AI Platform orchestrator (Dagster) for decentralised Data Mesh release processes.
• Monitor the data platform for performance, reliability, and availability.
• Provide observability components for costs, data quality, and data lineage insight.
• Monitor platform costs and identify optimisation opportunities across teams.
• Contribute to platform architecture, scalability, and developer experience improvements.

Connaissances

DataOps

Kubernetes

ArgoCD

Crossplane

Python

GCP

Terraform

Outils

Dagster

Datadog

Git

Description du poste

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris, France. The role focuses on building a scalable, observable data platform used by Data Product developers and owners to create, deploy, and maintain data products at scale.

You will own automation and infrastructure tooling (CI/CD, Terraform), work with Dagster for data orchestration, and collaborate with data engineers and scientists to improve performance and reliability across the platform.