Job
- Level
- Senior
- Location
- Hamburg, Stuttgart, Berlin, Dusseldorf, Munich, Cologne, Eschborn
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop scalable data pipelines and orchestrate workflows using Apache Airflow or NiFi while optimizing digital health solutions through data preparation for AI/ML models.
Job Technologies
Your role in the team
- As part of our internationally oriented Digital Health Excellence Center, you will work with colleagues from various countries – and at the same time, be based at one of our German locations in Cologne, Berlin, Düsseldorf, Frankfurt/Main, Hamburg, Munich, or Stuttgart.
- We implement both international projects and initiatives for German administrations at federal, state, and municipal levels, designing modern, 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.
- Design and development of scalable data pipelines (ETL/ELT) for ingestion, transformation, and processing of large and complex data sets.
- Development and operation of orchestration workflows with Apache Airflow or Apache NiFi.
- Support in building AI/ML/LLM pipelines through data preparation, structuring, and optimization for model utilization.
- Optimization of databases (PostgreSQL, Oracle) with a focus on performance tuning, indexing, and query optimization.
- Ensuring data quality, data integrity, and reliability within production pipelines.
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Our expectations of you
Education
- Practical experience in Data Governance, data protection, and GDPR-compliant data processing, as well as ideally knowledge of relevant health data standards such as HL7, FHIR, OMOP, and openEHR.
Qualifications
- In-depth knowledge of Python (especially pandas), SQL, ETL/ELT processes, workflow orchestration (e.g., Airflow or NiFi), large-scale data processing, as well as extensive database expertise in PostgreSQL or Oracle, including performance optimization.
- Agile: You believe that a flexible mindset is just as important for success as knowledge and skills.
- Curious: You are ambitious and committed.
- We are looking for people who think in terms of opportunities rather than 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 work environment.
Experience
- At least 5 years of experience in Data Engineering and building modern data platforms, including the development of AI/ML pipelines, data preprocessing, feature engineering, and LLM integrations.
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What we offer
- At EY, you 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 as well as on- and off-the-job training and development opportunities help you to grow beyond yourself and further develop the skills you will need in the future.
- A steep learning curve is guaranteed for you.
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Topics You Will Work On
Job Locations
About Your Employer
EY Consulting GmbH
As part of the global EY organization, EY Consulting GmbH offers comprehensive consulting services that help companies tackle complex challenges and find sustainable solutions.
Description
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Consulting
Data Engineer - Digital Health Excellence Center
- Location
- Hamburg, Stuttgart, Berlin, Dusseldorf, Munich, Cologne, Eschborn
- Working Model
- Onsite
- Diversity
- Open for all genders
