Data Engineer - Digital Health Excellence Center

Data Engineer - Digital Health Excellence Center at EY

Are you ready to shape your future with confidence? At EY, we strive to make the world a little better every day. We go all in as a team to create sustainable value and growth for our clients, employees, and society. Our global network of approximately 400,000 employees worldwide offers you every opportunity to grow, develop, specialize, and pursue your strengths and professional interests. We believe that the right career path is as individual as you are.

Your Responsibilities

As part of our Digital Health Excellence Center team, you will help lead German administrations at federal, state, and municipal levels into the digital future, creating modern and secure systems for millions of people. The focus is on the digital transformation of the healthcare sector, from interoperable IT solutions to innovative digital health strategies. Your diverse tasks will include:

• Analyzing and interpreting health-related data (e.g., electronic patient records, medical imaging, wearables, clinical studies) to identify patterns and trends and derive data-driven recommendations for improving patient and HCP experiences.
• Designing, building, and maintaining databases, data pipelines, and cloud architectures to support AI projects and ensure data integrity, scalability, and security.
• Developing, implementing, and integrating Machine Learning models and LLM applications into productive healthcare environments in collaboration with ML Ops and IT teams.
• Ensuring compliance with data protection and regulatory standards (e.g., GDPR, clinical studies) and considering interoperability and industry-specific requirements.
• Collaborating with technical and clinical teams to identify information gaps, optimize processes, and support business development through technical expertise in Healthcare Data Science.

Your Skillset

• At least 2 years of relevant professional experience in Data Science, Healthcare, or related fields, along with fluent German and English language skills.
• Strong analytical skills, problem-solving abilities, and experience with data management, interoperability standards (e.g., HL7, FHIR, openEHR, SNOMED CT, OMOP, IHE, xDT), and regulatory requirements (e.g., GDPR, clinical studies).
• Solid knowledge in statistics, programming (e.g., Python, R, SQL), ML Ops/CI/CD (e.g., Kubernetes, Docker), and Cloud Computing (e.g., Azure, AWS, GCP).

Your Mindset

• Agile: You believe that a flexible mindset is as important for success as knowledge and skills.
• Curious: You are ambitious and committed. We are looking for people who think in opportunities, not challenges, and find better solutions through targeted questions.
• Team-oriented: You value diverse perspectives and enjoy working in a team. We are looking for people who want to achieve something together with us and create a trusting working environment.

Your Benefits

At EY, you will work in high-performing, interdisciplinary teams with innovative technologies. In a flexible and inclusive work environment, we support you in your various life situations. Inspiring colleagues and training and development opportunities on- and off-the-job will help you grow beyond yourself and further develop the skills you will need in the future. A steep learning curve is guaranteed. Learn more about our benefits on our careers page.

Key skills/competency

• Data Engineering
• Digital Health
• Healthcare Data Science
• Machine Learning
• Cloud Architecture
• Data Pipelines
• Data Privacy (GDPR)
• Interoperability Standards
• Python, R, SQL
• ML Ops / CI/CD