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 digital health, ensuring data integrity and security for interoperable IT solutions.
Role type
Data Engineer (Digital Health)
Builds
Data pipelines, databases, and cloud architectures for healthcare interoperability and AI/ML applications
Domain
Digital Health / Healthcare IT
Deliverable
production ML models
Required skills
Python, SQL, R, Kubernetes, Docker, Azure, AWS, GCP, HL7, FHIR, openEHR, SNOMED CT, OMOP, IHE, xDT, GDPR compliance
Preferred skills
Machine Learning Ops, CI/CD, clinical study data handling
Technologies
Python, R, SQL, Kubernetes, Docker, Azure, AWS, GCP, HL7, FHIR, openEHR, SNOMED CT, OMOP, IHE, xDT
Responsibilities
Design and build data pipelines and cloud architectures; Develop and integrate ML models and LLM applications; Ensure compliance with data protection and regulatory standards; Collaborate with technical and clinical teams to identify information gaps and optimize processes
Seniority
Mid-level (2+ years experience)
