AI Data Platform Engineer Intern

Join Doctolib's Data Platform Engineering team to build the first Minimum Viable Product (MVP) of an AI‑enhanced status page for our new data platform on Google Cloud Platform (GCP), in a data mesh context.

You'll turn scattered platform signals into a single, elegant interface that gives every Doctoliber simple, actionable visibility into services and data products (availability, freshness/quality, costs, ownership). We could leverage AI agents to enable natural-language querying, navigation and troubleshooting.

Your responsibilities include, but are not limited to:

• Contribute to our migration from Amazon Web Services (AWS) to GCP, and the rollout of the decentralized data product approach
• Build the MVP interface (graphical user interface and/or agent) that provides:
• • For tech: service/pipeline overview, health, Service Level Objectives (SLOs), costs
• For data/business: catalog view, data product status, resources and ownership
• Lead discovery with stakeholders (interviews, workshops), propose user experience (UX), define the architecture, implement backend/API and frontend, and document it
• Start with a reduced "data products" scope and prepare the path to scale

• GCP (BigQuery, Google Cloud Storage, Pub/Sub, Cloud Run, IAM, Monitoring, Data Catalog)
• Container & Orchestration: Google Kubernetes Engine, ArgoCD for GitOps
• Iac: Terraform/Crossplane
• Monitoring: Datadog
• Versioning/Continuous Integration: Git
• Data Orchestrator: Dagster

• Ship an internal product from discovery to MVP rollout, used by Doctolibers across teams
• Design a usable platform interface and build an AI assistant grounded in real‑time metrics, metadata, and ownership
• Work at the intersection of data engineering, observability, business stakeholders and applied AI
• Apply solid engineering practices (code reviews, testing, documentation)

Most importantly: your MVP will be one of the most visible internal data tools we ship this year

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 could be our next teammate if you:

• Are a final-year student (engineering school/university) in Computer Science / Data
• Have solid foundations in software development (Python or TypeScript/JS), and the basics of APIs and web frontends
• Are interested in data platforms, metadata, data quality/freshness and observability
• Bring a product/UX mindset: collaborative, autonomous and rigorous

Now, it would be fantastic if you have:

• Familiarity with GCP, data mesh, lineage/catalog, or practical exposure to building simple agents or Natural Language Query over structured data

• Meal vouchers worth €8.50 per day, with €4.50 covered by Doctolib
• A 3‑month onboarding program including the Doctolib Academy and various trainings (languages, soft skills, technical skills)
• A works council subsidy for partial reimbursement of memberships to sports or leisure activities
• 50% reimbursement of your public transportation subscription costs

• Recruiter screen (30 minutes)

• Case study & restitution (1 hour)

• Behavioral interview (meet your future team and manager) (30 minutes)

• Internship: Full-time end of studies internship (ideally 6 months)
• Location: Levallois-Perret
• Work mode: Hybrid (3 days/week onsite)
• Start date: 03/2026
• Compensation: according to your profile

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of

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