data engineer for digital health

Описание

EY is a global professional services network with around 400,000 employees worldwide. Its Digital Health Excellence Center delivers international projects and initiatives for German public administrations, creating modern and secure systems for millions of people and supporting the digital transformation of healthcare.

Задачи

• Design and develop scalable ETL/ELT data pipelines for ingesting, transforming, and processing large and complex datasets; Develop and operate orchestration workflows with Apache Airflow or Apache NiFi; Support the development of AI/ML/LLM pipelines by preparing, structuring, and optimizing data for model use; Optimize PostgreSQL and Oracle databases through performance tuning, indexing, and query optimization; Ensure data quality, data integrity, and reliability across production pipelines.

Требования

• At least 5 years of experience in data engineering and building modern data platforms;
• Experience developing AI/ML pipelines, data preparation, feature engineering, and LLM integrations;
• Strong knowledge of Python, especially pandas, SQL, ETL/ELT processes, workflow orchestration, and large-scale data processing;
• Deep expertise in PostgreSQL or Oracle, including performance optimization;
• Practical experience with data governance, data protection, and GDPR-compliant data processing;
• Agile, curious, and team-oriented mindset;
• Nice to have: HL7, FHIR, OMOP, and openEHR healthcare data standards.

Условия

• Work is anchored at one of the German locations: Cologne, Berlin, Düsseldorf, Frankfurt/Main, Hamburg, Munich, or Stuttgart;
• Flexible and inclusive work environment;
• Training and development opportunities on and off the job;
• Multidisciplinary teams and innovative technologies.