Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Tübingen
- Working Model
- Onsite
Job Summary
In this role, you develop high-performance data warehouse models, design ETL processes, and implement technical solutions for healthcare data to ensure data quality and integrity.
Job Technologies
Your role in the team
- Design, development, and optimization of high-performance Data Warehouse models (Kimball) as well as the creation of forward-looking star/snowflake schema designs, dimension and fact tables.
- Development and documentation of M-, DAX- and SQL-based solutions as well as the creation of technical specifications and architecture concepts for health data platforms.
- Translation of technical requirements from medicine, nursing, and administration into suitable data solutions including technical implementation.
- Development and further enhancement of a reporting and analytics landscape to support clinical decision-making processes, quality management, billing, and management.
- Ensuring data quality, availability, and integrity in compliance with relevant governance, data protection, and security policies.
- Planning and supporting the implementation of robust ETL processes for the secure and efficient processing of sensitive patient and administrative data.
- Continuous optimization and adaptation of development processes to new requirements.
This text has been machine translated. Show original
Our expectations of you
Education
- Completed degree in Computer Science, Data Science, or a comparable qualification with relevant professional experience.
Qualifications
- Familiarity with Data Warehouse architectures according to Kimball, as well as the ability to model star and snowflake schemas.
- Knowledge in Data Science or Business Intelligence, particularly in the use of reporting tools, is advantageous.
- Very good spoken and written German skills (at least level C1) for close collaboration with our specialist departments.
Experience
- Extensive experience with Power BI or comparable BI tools, DAX, M, and Power Query, as well as data modeling.
- Extensive hands-on experience in the development, operation, and enhancement of Data Warehouse and Data Lake environments within the Microsoft ecosystem.
- Experience in integrating heterogeneous data sources.
This text has been machine translated. Show original
What we offer
- The University Hospital Tübingen is a leading center of German university medicine.
- Approximately 75,000 patients are hospitalized annually, and around 380,000 are treated on an outpatient basis.
- With approximately 10,600 employees, it is the largest employer in the region.
- The quality of healthcare is certified with the KTQ quality seal.
- The IT competence of the University Hospital Tübingen is embedded in the Business Unit Information Technology (IT).
- Here, the digital transformation of the hospital is being significantly shaped.
- The scope of responsibilities includes infrastructure, application support including software development, as well as IT service and IT project management.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Universitätsklinikum Tübingen
The University Hospital of Tübingen, founded in 1805, is one of the leading centers of German university medicine and contributes to the successful network of high-performance medicine, research and teaching with its 17 university clinics, institutes and centers. Since January 1998, the University Hospital of Tübingen has been an autonomous institution under public law with a board and supervisory board.
Description
- Founding Year
- 1805
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Employer reviews
by devworkplaces.com
Total
(1 Review)Engineering
2.5Workingconditions
3.0Culture
3.2Career Growth
2.7
Senior Data Engineer / Data Analyst
- Location
- Tübingen
- Working Model
- Onsite
- Diversity
- Open for all genders
