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

Your Impact

What you'll do

• 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

Who you are

• 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

• 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.

What we offer

• Free comprehensive health insurance (basic package) 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
• Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
• 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

Our interview process

• Recruiter Interview
• Technical Deep Dive
• System Design Interview
• Behavioral Interview
• At least one reference check

Job details

• Permanent position
• Tech stack: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML
• Full-time
• Paris, France
• Hybrid work setup (up to 2 remote days per week)
• Start date: as soon as possible

We welcome everyone

Your data privacy