Doctolib

careers.doctolib.com

29 Jobs

3,363 Employees

About the Company

We're a B Corp company committed to build together the healthcare we all dream of.

More than 2,900 Doctolibers in France, Germany, Italy, and the Netherlands are helping to improve the daily lives of care teams with a new generation of technologies and services.

At the same time, Doctolib is helping over 80 million patients to effectively manage their health and provide quick and easy access to optimal healthcare.

Listed Jobs

Company Name: Doctolib
Job Title: Staff Engineer (x/f/m)
Job Description: **Job Title** Staff Engineer **Role Summary** Lead the technical vision for Data Migration and Product Evolution initiatives. Own end‑to‑end architecture, transformation of legacy data, and delivery of scalable, resilient services across a cloud‑native platform. Guide backend design, real‑time features, and interoperability solutions while setting the standard for quality and technical excellence. **Expectations** - Minimum 10 + years of software engineering leadership. - Proven expertise in backend development (Java, Python, Ruby on Rails, Kotlin, Swift) and real‑time system design. - Strong experience with ELT/ETL pipelines and data migration. - Deep understanding of Domain‑Driven Design and distributed, cloud‑native architectures. - Ability to mentor peers, communicate across domains, and advocate user‑centric development. **Key Responsibilities** - Define and own the technical roadmap for upcoming quarters, focusing on Data Migration and Product Evolution. - Architect and implement legacy data transformation into new product architectures. - Design, develop, deploy, and maintain backend services and components that meet interoperability goals. - Ensure resilience, scalability, and robustness of integration services. - Lead complex technical implementations, including large‑scale architecture transformations. - Collaborate with product, data, and AI teams to integrate ethical AI features where appropriate. **Required Skills** - Advanced backend programming in Java, Python, Ruby on Rails, or equivalent. - Expertise in real‑time feature development and event‑driven architectures. - Proficiency in ELT/ETL pipeline design and data warehousing. - Solid knowledge of Domain‑Driven Design principles. - Experience with cloud‑native, microservices, and distributed systems. - Strong leadership, mentorship, and cross‑functional communication. - User‑first mindset with a focus on improving product experience. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience). - Demonstrated senior engineering experience; certifications are not mandatory but may be considered if relevant (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator).

Paris, France

On site

19-09-2025

Company Name: Doctolib
Job Title: Senior Data Ops Engineer (x/f/m)
Job Description

Company Name: Doctolib
Job Title: Commercial B2B - Corse (x/f/m)
Job Description: Job Title: B2B Commercial Developer (Corsica) Role Summary: Develop and implement Doctolib’s B2B solutions for healthcare professionals in Corsica, focusing on sales, client onboarding, and post-sale training. Expectations: Proven field prospecting experience (e.g., door-to-door), autonomous sales cycle execution, and strong communication skills. Candidates without an exact match may still apply if they possess equivalent competence. Key Responsibilities: - On-site prospecting: Schedule appointments with healthcare professionals directly at their practice. - Consultative sales: Understand and address clinician needs to promote adoption of Doctolib solutions (practice optimization, visibility, efficiency). - Product training: Train healthcare professionals on solution use within their clinics. - CRM reporting: Maintain client records and administrative follow-ups in Salesforce. Required Skills: - Field sales expertise, including prospecting techniques. - Sales acumen and problem-solving to align solutions with client needs. - Independent sale cycle management (A to Z). - Strong verbal/written communication for client engagement. - CRM (Salesforce) proficiency. Required Education & Certifications: Business or sales-focused education (e.g., business school, BTS, or equivalent university-level qualification).

Bastia, France

On site

01-10-2025

Company Name: Doctolib
Job Title: Senior Data Engineer - Data Governance - Paris (x/f/m)
Job Description: **Job Title:** Senior Data Engineer **Role Summary:** Lead the implementation and optimization of data governance standards across Doctolib’s data value chain, ensuring data accessibility, compliance, and trustworthiness while supporting advanced analytics and AI initiatives. **Expectations:** - Minimum 4+ years of Data Engineering experience with a focus on Data Architecture. - Proven experience with cloud platforms (GCP, AWS). - Strong technical proficiency in SQL, Python, Terraform, Kubernetes, GitHub, dbt, Airflow, Metabase, and BigQuery. - Solid understanding of GDPR, healthcare data protection practices, and pseudonymization/anonymization techniques. - Adaptability in a fast-paced, high-growth environment. - Bilingual fluency in French and English (written and spoken). **Key Responsibilities:** - Collaborate with cross-functional teams to automate and enforce data governance standards. - Design governance frameworks for SaaS data sources and ensure metadata consistency (ownership, sensitivity, documentation). - Develop medical taxonomies and ontologies to structure semantic data. - Drive standardization and interoperability of metadata and data models organization-wide. - Lead the technical development of the Coalesce Catalog, integrating new data sources and transitioning to a modular architecture. - Implement data lineage tracking and monitoring for SaaS sources to ensure catalog reliability. - Maintain Metabase dashboards and pipelines for effective governance monitoring. **Required Skills:** - Expertise in cloud-native platforms, distributed architectures, and modular component design. - Advanced SQL/Python coding skills for data pipeline development. - Hands-on experience with Terraform/Kubernetes for infrastructure automation. - Familiarity with data governance tools (Airflow, dbt) and metadata management systems. - Knowledge of data privacy regulations (GDPR) and healthcare data compliance. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. - Cloud certifications (AWS/GCP) advantageous. - Certifications in data governance, data privacy (CIPP), or healthcare data compliance preferred.

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