Senior Data Ops engineer (x/f/m)

EngineersOfAI; Paris; 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

We are looking for a Senior DataOps Engineer to join the Data and AI Platform team.

Your mission will be to improve and maintain an efficient, reliable and scalable platform that enables Data Product developers and owners to develop, deploy and maintain their data products autonomously, at scale, with clear and maintained interfaces and full observability — ensuring seamless data flow across the organisation and enabling data-driven decision-making.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you’ll do

Your responsibilities include but are not limited to:

• 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) — securely, reliably, and with full ownership
• Maintain the Data and AI Platform orchestrator (Dagster) to enable Data Product developers to orchestrate their data products in a decentralised way (Data Mesh), with ownership over their release process and job pipelines
• Monitor the data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure availability
• Offer observability components to empower developer teams and data product consumers with the right level of insight into costs, data quality, and data lineage
• Monitor platform costs, identify optimisation and saving opportunities, and collaborate with data engineers, data scientists, and other stakeholders
• Contribute to the continuous improvement of platform architecture, scalability, and developer experience across teams

Who you are

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You’ll be a great fit if you:

• Have more than 5 years of experience as a DataOps Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
• Have strong proficiency in data engineering and infrastructure tools and technologies (Kubernetes, ArgoCD, Crossplane)
• Have expertise in programming languages like Python
• Are familiar with cloud infrastructure and services, pre