
Simplifying healthcare access for millions
Doctolib is the leading European platform for online medical appointment scheduling, serving over 17,000 healthcare professionals and connecting with 6 million patients monthly. Headquartered in Levallois-Perret, Île-de-France, Doctolib is present in 435 healthcare facilities across France and Germa...
Employees enjoy competitive salaries, stock options, generous PTO, and a flexible remote work policy, promoting a healthy work-life balance....
Doctolib fosters a culture centered around improving healthcare access, emphasizing technology-driven solutions and a commitment to user experience. T...

Doctolib • Nantes
Doctolib is seeking a Staff Data Platform Engineer to shape their data platform strategy and architecture. You'll work with technologies like AWS, Apache, and Airflow to drive enterprise-scale solutions. This role requires expertise in data infrastructure and machine learning initiatives.
You have extensive experience in data platform engineering, with a strong focus on DataOps and enterprise-scale solutions. Your background includes designing and implementing robust data infrastructure strategies that support machine learning initiatives and enhance engineering excellence. You are skilled in building and optimizing complex data pipelines, ensuring high reliability and performance across multi-region datasets. You possess a deep understanding of cost analysis and optimization opportunities within data stacks, allowing you to implement solutions that improve efficiency while reducing infrastructure spend. You are also adept at providing technical guidance to cross-functional teams, conducting architecture reviews, and promoting best practices in data engineering. Your collaborative spirit enables you to work effectively with product, design, and business teams to drive innovation and unlock valuable business insights.
Experience with machine learning frameworks and tools is a plus, as is familiarity with agile methodologies and working in feature teams. You are comfortable navigating the challenges of a data-driven transformation and are eager to contribute to a culture of continuous improvement and innovation.
In this role, you will lead the design and implementation of enterprise-scale data infrastructure strategies that support Doctolib's data-driven transformation. You will conduct thorough impact and cost analysis for major technical decisions, ensuring that architectural standards are established and adhered to across the organization. Your responsibilities will include building and optimizing complex, multi-region data pipelines that handle petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems. You will also lead cost analysis initiatives, identifying optimization opportunities across the data stack and implementing solutions that enhance performance and reliability. As a Staff Data Platform Engineer, you will provide technical guidance to data engineers and cross-functional teams, conducting architecture reviews and driving the adoption of best practices in data engineering. Your role will be pivotal in enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business units across Doctolib.
At Doctolib, you will be part of a dynamic tech team dedicated to building innovative products and features that improve the daily lives of care teams and patients. We foster a collaborative environment where you can thrive and contribute to meaningful projects that have a real impact on healthcare. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of healthcare through data-driven solutions.
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