Senior Data Engineer Python/GCP (x/f/m)

Responsibilities

• We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion .
• Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.
• Your responsibilities include but are not limited to:
• Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases
• Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models
• Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently
• Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability
• Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption
• Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI)
• Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets
• Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment

Requirements

• 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'll be a great fit if you:
• You have 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads
• You have strong experience with the GCP data ecosystem and proficiency in Python and SQL
• You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search)
• You have experience designing data architectures for RAG, embeddings, or model training pipelines
• You have knowledge of data governance, security, and compliance for sensitive or regulated data
• You are fluent in English
• It would be fantastic if you:
• You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field
• You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning
• You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows
• Life at Doctolib Tech
• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here .
• Want to learn more about our tech culture and environment? Visit the Doctolib Tech site .

Benefits

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Doctolib? Share your experience