DataOps Engineer

Main mission

Industrializes the data lifecycle: deployment, testing, monitoring.

5 key responsibilities

• Industrialize the lifecycle of pipelines: CI/CD, testing, environments.
• Automate deployments and rollbacks of data processing.
• Monitor freshness, volume, and quality in production.
• Manage data incidents and reduce their recurrence.
• Equip teams to deliver faster and more securely.

Key skills

CI/CD, orchestration (Airflow), data observability, IaC, scripting.

What's expected

Pipelines that deploy like software: versioned, tested, monitored.

Career paths

Data Platform Engineer, SRE, Data Architect.