Senior Data Ops engineer (x/f/m)

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 r