EY

Data Engineer – Digital Health Excellence Center

EY

full-time

Posted on:

Location Type: Hybrid

Location: Berlin • Germany

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Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

  • Analyze and interpret health-related data (e.g., electronic health records, medical imaging, wearables, clinical trials) to identify patterns and trends and derive data-driven recommendations to improve patient and healthcare professional (HCP) experiences.
  • Design, build and maintain databases, data pipelines and cloud architectures to support AI projects and ensure data integrity, scalability and security.
  • Develop, implement and integrate machine learning models and LLM applications into production healthcare environments in collaboration with MLOps and IT teams.
  • Ensure compliance with data protection and regulatory standards (e.g., GDPR, clinical trials) while addressing interoperability and industry-specific requirements.
  • Collaborate with technical and clinical teams to identify information gaps, optimize processes and support business development with technical expertise in healthcare data science.

Requirements

  • At least 2 years of relevant professional experience in data science, healthcare or related fields, plus fluent German and English language skills.
  • Strong analytical skills, problem-solving ability and experience with data management, interoperability standards (e.g., HL7, FHIR, openEHR, SNOMED CT, OMOP, IHE, xDT) and regulatory requirements (e.g., GDPR, clinical trials).
  • Solid knowledge of statistics, programming (e.g., Python, R, SQL), MLOps/CI/CD (e.g., Kubernetes, Docker) and cloud computing (e.g., Azure, AWS, GCP).
Benefits
  • In a flexible and inclusive work environment, we support you in your various life situations.
  • Inspiring colleagues and on- and off-the-job training and development opportunities help you grow and further develop the skills you will need in the future.
  • A steep learning curve is guaranteed.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analysismachine learningprogrammingstatisticsdata managementcloud computingMLOpsdata pipelinesdatabasesdata integrity
Soft Skills
analytical skillsproblem-solvingcollaboration