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Staff Dataops Engineer

France, Paris · Job Posted April 23, 2026
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Job Description

Your Impact We are looking for a Staff DataOps Engineer to join the Data and ML Platform team. Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization. Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

Job Responsibility

  • Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
  • Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
  • Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
  • Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
  • Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

Requirements

  • 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
  • Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices
  • Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
  • Highly skilled in programming with Python, and have a solid understanding of software development principles
  • Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Nice to have

  • Hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data
  • Actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
  • Experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
  • Practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation

What we offer

  • Free comprehensive health insurance for you and your children
  • 25 days of paid vacation per year, plus up to 14 days of RTT
  • Free mental health and coaching services through our partner Moka.care
  • Work from abroad for up to 10 days per year thanks to our flexibility days policy
  • Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • 50% reimbursement of your public transport subscription
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Relocation support in case of international mobility
  • Access to the best AI tools for coding, development and dedicated training

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