or apply directly on Doctolib's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 27 days Doctolib's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Doctolib's roles list one
- Ghost-job risk at Doctolib
- high 78 stale, 15 reposted of 133 open
- Hiring momentum
- 226 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Doctolib's own greenhouse board since 2026-08-03. Full hiring picture for Doctolib.
About this role
As a Senior Data Engineer in the AI Team at Doctolib, you will design, build, and maintain scalable data pipelines on Google Cloud Platform to support AI and machine learning initiatives. Your role involves optimizing data infrastructure for large language models and multimodal systems, ensuring high-quality data for AI model training and deployment, and collaborating with various teams to establish data governance and architecture.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Doctolib as an employer.
What you need
- 7+ years of experience in Data Engineering, ideally supporting AI or ML workloads
- Strong experience with the GCP data ecosystem
- Proficiency in Python and SQL
- 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
Nice to have
- Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field
- Familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning
- Experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows
What you get
- 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
Worth weighing
- No salary listed
- Hybrid work setup (up to 2 remote days per week) may not suit everyone
- The role involves working with sensitive data, which may require strict compliance measures
Summarised from Doctolib's posting. Read the full original.
Listed by Doctolib on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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