Data Ops Engineer(x/f/m)

Job Description

Doctolib is seeking a DataOps Engineer to join its data team. The DataOps Engineer will design, implement, and manage Doctolib's data infrastructure, ensuring seamless data flow and enabling data-driven decision-making. The engineer will collaborate with data engineers, data scientists, and other stakeholders to build and maintain robust, scalable, and efficient data pipelines.

Responsibilities:

• Design and implement a scalable and reliable data infrastructure.
• Build and maintain data pipelines.
• Implement automation and orchestration tools.
• Monitor data platform for performance and reliability.
• Collaborate with data engineers, data scientists, and other stakeholders.

Requirements:

• > 2 years of experience as a DataOps Engineer or in a similar role.
• Strong proficiency in data engineering / infrastructure tools and technologies.
• Expertise in programming languages like Python.
• Familiarity with cloud infrastructure and services, preferably AWS, Azure, or GCP.
• Experience with infrastructure-as-code tool such as Terraform.
• Excellent problem-solving skills.
• Strong communication and collaboration skills.

Doctolib offers:

• Free Health Insurance
• RTT days
• Parental care program
• Wellbeing program
• Flexible workplace policy
• Flexibility days to work in EU countries and the UK
• Lunch voucher
• Work Council subsidy
• Bicycle subsidy