Senior DataOps Engineer: Data Mesh & Platform Visionary

EngineersOfAI; Paris, France, Western Europe, Europe; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

EngineersOfAI is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will help build and maintain a scalable data platform that enables data product teams to develop, deploy and operate their data products with clear interfaces and full observability.

You will work on CI/CD, infrastructure as code, and Dagster orchestration, collaborating with data engineers and data scientists to optimize performance, reliability and costs while improving developer experience

Qualifications

• 5+ years of experience as a DataOps Engineer or similar role.
• Strong data engineering and infra tooling experience.
• Proficient in Python.
• Experience with Kubernetes, ArgoCD and Crossplane.

Responsabilités

• Maintain the Data Product Controller for automated data product management via CI/CD and IaC.
• Maintain the Data and AI Platform orchestrator (Dagster) for decentralised Data Mesh release pipelines.
• Monitor the data platform performance and reliability; troubleshoot issues and implement proactive solutions.
• Provide observability components for costs, data quality, and data lineage.
• Monitor platform costs and identify optimization opportunities with data engineers and stakeholders.
• Contribute to architectural improvements for scalability and developer experience.

Connaissances

5+ years DataOps

Kubernetes

ArgoCD

Crossplane

Python

Cloud platforms

Outils

Dagster

CI/CD

Infrastructure as Code

Description du poste

EngineersOfAI is seeking a Senior DataOps Engineer to join the Data and AI Platform team in Paris. You will help build and maintain a scalable data platform that enables data product teams to develop, deploy and operate their data products with clear interfaces and full observability.

You will work on CI/CD, infrastructure as code, and Dagster orchestration, collaborating with data engineers and data scientists to optimize performance, reliability and costs while improving developer experience