Data Engineer - Digital Health Excellence Center (w/m/d)
Ernst and Young2 months ago
Berlin, GermanySenior
Responsibilities
- Design and develop scalable ETL/ELT data pipelines for large and complex data sets.
- Develop and operate workflow orchestration pipelines with Apache Airflow or Apache NiFi.
- Prepare, structure, and optimize data for AI/ML/LLM pipelines, including feature engineering and LLM integrations.
- Optimize PostgreSQL or Oracle databases through performance tuning, indexing, and query optimization.
- Ensure data quality, data integrity, and reliability in production pipelines.
- Apply data governance, privacy, and GDPR-compliant data processing practices.
- Collaborate with international colleagues on digital health projects for public administrations and other organizations.
Requirements
- At least 5 years of experience in data engineering and building modern data platforms.
- Strong knowledge of Python, especially pandas, SQL, ETL/ELT processes, workflow orchestration, and large-scale data processing.
- Deep database expertise in PostgreSQL or Oracle, including performance optimization.
- Experience developing AI/ML pipelines, preparing data, performing feature engineering, and integrating LLMs.
- Practical experience with data governance, data protection, and GDPR-compliant data processing.
- Knowledge of healthcare data standards such as HL7, FHIR, OMOP, and openEHR is desirable.
- Flexible, curious, engaged, and team-oriented mindset.
Benefits
- Work in high-performing, interdisciplinary teams with innovative technologies.
- Flexible and inclusive working environment supporting different life situations.
- Training and development opportunities both on and off the job.
- Positions are anchored at EY locations in Cologne, Berlin, Düsseldorf, Frankfurt/Main, Hamburg, Munich, or Stuttgart.
- International collaboration and projects involving German federal, state, and local administrations.
- EY welcomes diverse applicants and can provide support for an accessible application process.
Tech Stack
Categories
Data Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.