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. 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.




You will play a key role in shaping the next generation of our data platform.
Data platform ownership
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.
Data pipelines and infrastructure
Build and maintain scalable data pipelines in Python.
Improve metadata management, dataset validation, and data quality monitoring.
Optimize data workflows across AWS-based infrastructure.
Work closely with ML researchers and ML engineers to understand their data needs.
Support research workflows with reliable and efficient data access patterns.
Data governance and quality
Implement practices for data quality, reproducibility, and traceability across the ML lifecycle.
Ensure our data infrastructu

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