Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data pipelines for processing large datasets, optimize databases, and build AI/ML pipelines focusing on digital health solutions.
Job Technologies
Your role in the team
- As part of our internationally oriented Digital Health Excellence Center, you will collaborate with colleagues from various countries - and at the same time, be anchored 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 ingesting, transforming, and processing 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 healthcare 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), handling large data volumes, and 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.
- Team-oriented: You value diverse perspectives and enjoy working in a team.
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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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Ernst & Young GmbH
We work together to develop innovative solutions for the business world of tomorrow. This is the goal of our 10,000 colleagues at 20 locations across Germany. With our high-performance services in auditing, tax consulting, transaction and management consulting, we bring our clients successfully into the future.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Law, Finance, Economics
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Engineering
2.5Workingconditions
3.8Culture
3.5Career Growth
3.3
Data Engineer - Digital Health Excellence Center
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
