Staff Data Ops Engineer

What you’ll do The Data Foundation team is at the heart of Doctolib’s data-driven transformation, enabling healthcare innovation through robust, scalable data infrastructure. As a Staff DataOps Engineer, you are the technical leader who shapes our data platform strategy and architecture. You will drive the design and implementation of enterprise-scale data solutions that power insights for our +300,000 healthcare practitioners and 60 million patients. Working at the intersection of engineering excellence and business impact, you will lead cross-functional initiatives, mentor engineering teams, and establish the technical standards that enable Doctolib’s continued growth across Europe. Your success in the first 6+ months will be measured by your ability to deliver strategic data infrastructure improvements, reduce operational costs through intelligent automation, and establish architectural patterns that scale with our business. Your responsibilities include but are not limited to: Strategic Data Architecture Leadership: 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 Advanced Pipeline Engineering: Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems Cost Optimization & Performance Engineering: Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability Technical Leadership & Mentoring: Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance Innovation & Research: Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization 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 could be our next team mate if you have: 7+ years of experience as a DataOps Engineer or in a similar role, with a history of architecting and scaling robust data platforms. Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses (Redshift, BigQuery). Highly skilled in programming with Python, and a solid understanding of software development principles. Extensive experience with cloud infrastructure on AWS, Azure, or GCP, and a command of Terraform for automated deployments. You are an authority on implementing networkand IAMsecurity best practices. An excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identify performance bottlenecks. A strong communicator who can articulate complex technical concepts to both technical and non-technical audiences, fostering effective collaboration across teams. Now, it would be fantastic: API Expertise: You have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI. You’re skilled at designing APIs that provide reliable and efficient access to data. Data Governance & Security: You’re not just aware of data governance; you’ve actively applied principles to manage data quality, security, and compliance. You understand how to implement controls that protect sensitive information. CI/CD Implementation: You’re experienced with CI/CD tools and methodologies for data-related projects. You can build automated pipelines that streamline development, testing, and deployment, reducing manual effort and improving reliability. The interview process Case Study System Design Interview Behavioral interview with Hiring Manager At least one reference check Offer Job details Full-time Location: Doctolib Paris office in Levallois-Perret or Nantes Work mode: Hybrid 3 days/week in the office Start date: as soon as possible If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog ar ticles At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of All information provided is processed by Doctolib for application management. For data processing details, click here . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. #J-18808-Ljbffr