Senior DataOps Engineer for Enterprise Data Platform

Doctolib; Paris; On-site; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Paid vacation

Mental health support

Relocation assistance

Lunch vouchers

Public transport subsidy

Parental leave

Job summary

Doctolib is seeking a Staff DataOps Engineer to join the Data and AI Platform team in Paris. You will shape our data platform strategy, design enterprise-scale data infrastructure, and drive ML initiatives across the organization.

You will lead multi-region pipelines, implement monitoring, security, and governance, and guide data engineers and cross-functional teams in DataOps best practices. Start date as soon as possible.

Qualifications

• 7+ years of experience in senior DataOps or data platform roles.
• Strong experience with GCP, Kubernetes, and Terraform for automated deployments.
• Proficient in orchestrating data pipelines and data warehousing with modern tools.

Responsibilities

• Design and implement enterprise-scale data infrastructure strategies.
• Build multi-region data pipelines with high reliability and monitoring.
• Lead cost analysis and optimization across the data stack.
• Provide technical guidance to data engineers and cross-functional teams.
• Evaluate emerging data tools and drive the technical roadmap.

Tools

Google Cloud Platform

Kubernetes

Terraform

Dagster

Airflow

BigQuery

dbt

FastAPI

Job description

Doctolib is seeking a Staff DataOps Engineer to join the Data and AI Platform team in Paris. You will shape our data platform strategy, design enterprise-scale data infrastructure, and drive ML initiatives across the organization.

You will lead multi-region pipelines, implement monitoring, security, and governance, and guide data engineers and cross-functional teams in DataOps best practices. Start date as soon as possible.