Senior DataOps Engineer — Scalable Data Mesh Platform

Doctolib; Levallois-Perret; Hybrid; EUR 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Paid vacation 25 days + 14 RTT

Mental health and coaching services

Work from abroad up to 10 days/year

Lunch vouchers Swile card

Transport subsidy 50%

ParentCare Program

DoctoGrowth program

Disability accommodation package

Relocation support

Access to AI tools

Job summary

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will maintain automated data product controllers and a Dagster-based platform, focusing on scalable, observable data flows and cost-aware operations.

You will work with data engineers, data scientists and other stakeholders to improve architecture, performance and developer experience across teams, while enabling data-driven decision making.

Qualifications

• 5+ years of experience as a DataOps Engineer or similar role with track record in building and maintaining complex data infrastructures.
• Strong proficiency with data engineering and infrastructure tools (Kubernetes, ArgoCD, Crossplane).
• Expertise in Python and cloud infrastructure, preferably GCP, plus experience with infrastructure-as-code (Terraform).
• Excellent problem solving for bottlenecks and performance in data platforms.
• Fluent in English.

Responsibilities

• Maintain the Data Product Controller to give stakeholders full responsibility for managing their data products in an automated way (via CI/CD and infrastructure as code).
• Maintain the Data and AI Platform orchestrator (Dagster) enabling decentralised Data Mesh release processes and pipelines.
• Monitor the data platform for performance and reliability, troubleshoot issues and implement proactive solutions.
• Provide observability components for insight into costs, data quality and data lineage.
• Monitor platform costs and identify optimisation opportunities in collaboration with data engineers and data scientists.
• Contribute to continuous improvement of platform architecture, scalability and developer experience.

Skills

DataOps Engineer

Kubernetes

ArgoCD

Crossplane

Python

GCP

Tools

Dagster

Terraform

Datadog

Git

Job description

Doctolib is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will maintain automated data product controllers and a Dagster-based platform, focusing on scalable, observable data flows and cost-aware operations.

You will work with data engineers, data scientists and other stakeholders to improve architecture, performance and developer experience across teams, while enabling data-driven decision making.