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Senior Data Engineer - AI Focused

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Doctolib

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Location:
France , Paris

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At Doctolib, we're on a mission to transform healthcare through the power of AI. As a Senior Data Engineer, you'll play a key role in building and optimizing the data foundations within the AI Team to deliver safe, scalable, and impactful models. You will join a dedicated team working on data infrastructure for LLM, VLM and RAG-based systems, powering our new AI Medical Companion. Your work will ensure that our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data.

Job Responsibility:

  • Ensure high standards of data quality for AI model inputs
  • 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:

  • Master’s or Ph.D. degree in Computer Science, Data Engineering, or a related field
  • 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads
  • Strong experience with the GCP data ecosystem
  • Proficiency in Python and SQL, with experience in data pipeline orchestration (e.g., Airflow, Dagster, Cloud Composer)
  • Deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search)
  • Experience designing data architectures for RAG, embeddings, or model training pipelines
  • Knowledge of data governance, security, and compliance for sensitive or regulated data
  • Familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning (extract snapshots, change tracking, reproducibility)
  • Familiarity with containerized environments (Docker, Kubernetes) and CI/CD for data workflows
  • A collaborative mindset and passion for building the data foundations of next-generation AI systems
What we offer:
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: additional leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Work Council subsidy to refund part of a sport club membership or a creative class
  • Up to 14 days of RTT
  • Lunch voucher with Swile card

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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