Data Engineer - Digital Health Excellence Center (w/m/d)
Core
Design, build, and maintain data pipelines and cloud architectures to support AI and ML projects in healthcare, ensuring data integrity, scalability, and security while developing ML models for patient and provider experience improvement.
Role type
Data Engineer (Healthcare)
Builds
Data pipelines, cloud architectures, and production ML/LLM applications for healthcare systems
Domain
Digital Health / Healthcare IT
Deliverable
production ML models | infrastructure
Required skills
Data management, Interoperability standards (HL7, FHIR, openEHR, SNOMED CT, OMOP, IHE, xDT), Regulatory compliance (GDPR, clinical studies), Statistics, Python, R, SQL, ML Ops/CI/CD, Cloud computing
Preferred skills
Experience with electronic health records, medical imaging, wearables, and clinical studies data
Technologies
Kubernetes, Docker, Azure, AWS, GCP
Responsibilities
Analyze and interpret health-related data to identify patterns and trends; Design and maintain databases and data pipelines; Develop and integrate ML models and LLM applications; Ensure compliance with data protection and regulatory standards; Collaborate with technical and clinical teams to optimize processes
Seniority
Mid-level, hands-on IC
