Straumann Group

La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.
At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.

About The Role
We are looking for a Senior Data Platform / Data Engineer to join our ML Platform team and help build and scale the data infrastructure that powers our AI products in dentistry. Our platform supports the full AI development lifecycle,



from raw data ingestion and annotation workflows to dataset versioning and model training pipelines. You will work closely with Machine Learning Researchers (MLRs), MLOps engineers, and product teams to ensure our data infrastructure is reliable, scalable, and easy to use.

A key focus of the role is improving our Data Lakehouse (DLH) and dataset management workflows, including dataset versioning (DVC) and improving how data is prepared, extracted, and consumed across research and production systems.

What You Will Work On
You will play a key role in shaping the next generation of our data platform.

Typical Responsibilities Include
Data platform ownership

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- Design and evolve the Data Lakehouse (DLH) architecture used across our ML teams.
- Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
- Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.

Dataset lifecycle management

📌 Senior Data Platform (Madrid)
🏢 Straumann Group
📍 Madrid