The RWTH Aachen University Hospital combines medical care, teaching and research at an international standard. The University Clinic covers the entire spectrum of medicine, with 37 specialist clinics, 35 institutes and six interdisciplinary units. Integrating health care, research and teaching in one central building, this hospital provides optimal conditions for intensive interdisciplinary exchange and collaboration, as well as for clinical and scientific networking. Outstandingly well-qualified teams of doctors, nurses and scientists competently care for the health of patients. Patient-centered medicine and follow-up care at high quality standards is ensured by the approximately 9,000 staff. With 1,400 beds, the University Clinic cares for around 50,000 inpatient and 200,000 outpatient cases per year.
The department for Anesthesiology is looking for a
Data Engineer (f/m/d)
Working hours: Full-time 100% (currently 38,5 hours/week)
Duration/Term of employment: 3 years with option of prolongation. The successful candidate is expected to pursue a doctoral degree
Start date: as soon as possible
Remuneration/Rates: EG 13 (TV-L)
Description and essential criteria:
The main task is to support the collection, storage and processing of large biomedical datasets by designing, building and maintaining a high-performance infrastructure and architecture for data processing systems and developing data pipelines to make the data accessible for analysis and applications.
- Design, build and maintain the infrastructure and architecture for a unified data processing system
- Develop and maintain data pipelines to read structured and unstructured medical data (such as biosignals and clinical data) to enable evaluation using biostatistics and machine learning
- Collaboration with colleagues from medical teams, natural sciences, medical informatics, biostatistics and data science, as well as the Data Integration Center at the University Hospital Aachen and industry partners
- Create APIs for data access and implement user-friendly applications step by step
- Improve and ensure data quality by implementing data standards,anomaly detection schemes and data deduplication strategies
- Support data analysis and machine learning model development by cleaning and preparing data for analysis
Your profile:
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Master's degree in Computer Science, Data Science, Medical Infromatics, Biomedical Engineering, Applied Mathematics, Natural Sciences, or other relevant fields that gives you good skills to design, build and maintain data processing systems and develop scalable data pipelines for analyzing data
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Strong practical and theoretical knowledge in: Database design and management (relational, NoSQL, time-series, and multimodal databases), Data integration and ETL processes and API development for data access
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Practical experience with revelant programming languages such as SQL, Phython, or Java
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Eperience with Big Data technologies (e.g. Apache Hadoop, Spark, Kafka, Airflow)
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Knowledge or experience with data flows and data architectures in the medical field as well as knowledge of common data formats, standards and protocols in the heathcare sector
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Desirable:
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Experience with HPC clusters and cloud platforms (AWS, Azure, GCP)
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Experience in effective project and time management, for example working in Agile/Scrum environments
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Knowledge in the field of artificial intelligence or machine learning and their application in biomedical data science
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Knowledge of version control with Git and GitLab as well as Docker and containerization techniques
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Experience in UX/UI design
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Team player with the ability to communicate complex analytical and technical concepts to non-experts
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highly organized, proactive and decisive in managing work tasks
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Problem-solving and critical thinking skills
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Fluent in English (C1 level) and good German skills (B1 level)
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Willingness to learn new data tools, frameworks and industry trends
Why you should choose us?
We offer…
- 30 days of vacation per year for full-time employment
- A bonus of 3,000 euros for employees who help recruit employees in the care sector
- An attractive company pension scheme from VBL
- Education opportunities, including updating and upgrading
- Access to public transport
- In-house kindergarten (places subject to availability)
- Staff residences (places subject to availability and by arrangement)
- An onboarding app for new employees
- Extended opening hours in the staff restaurant
Application:
The application deadline for this position "GB-P-50591" is 20.06.2025.
Contact:
We look forward to receive your application!
This job advertisement is aimed at all genders.
The RWTH Aachen University Hospital promotes equal opportunity and diversity. Applications from women are expressly sought and, in accordance with relevant laws, will be treated preferentially.
We welcome applications from people with disabilities and they will be given priority if they are equally suitable.
Employment at a fraction less than the weekly full-time working hours stated above is generally possible.
It is preferable to use our digital application portal at www.karriere.ukaachen.de to apply. The portal allows you to upload your documents to an electronic application folder, which is protected from unauthorized access. Applications received by email are transferred to our application portal and then deleted in accordance with data protection regulations. (Transmission by email is usually inadequately protected.) If you do not agree to the transfer of your data to our portal, we unfortunately cannot consider your application. The data in the portal will be deleted after the retention period has expired.
