Senior AI Data Engineer; x​/f​/m

We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion
.

Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems
, ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe.

Working in the tech team at the company 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
  No
  
  SQL 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 (Big Query, 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

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 have 7+ 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
  No
  
  SQL 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 withW&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 the company 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, Type Script, 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.

• 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 the company

• A subsidy from the…