The Data Integration Center (DIZ) is looking for the next possible date for a

Data Engineer (m/f/d)

As a central institution, the Data Integration Center (DIZ) represents a basic component for data-driven medicine at the University Medical Center Freiburg (UKF) and is part of the nationwide Medical Informatics Initiative (MII) and the Network University Medicine (NUM).
The aim is to process patient care data in a standardized manner, while maintaining data protection, and to make it available for quality assurance tasks, process optimization and, in particular, for scientific questions. In this way, the DIZ makes a significant contribution to improving patient care and scientific progress.

We are looking for a Data Engineer (m/f/d) for an exciting environment in which you will have the opportunity to contribute to the establishment and further development of the technical core components of the DIZ and help shape them. Become part of our dedicated team and play a key role in shaping the future of data-driven medicine at the UKF.

We offer you:

• a job in one of the most exciting and up-to-date areas of healthcare
• Flexible working time models
• Modern IT equipment that enables you to work on the move
• a workplace in a renowned university hospital at the cutting edge of technology
• a performance-related salary
• a family-friendly workplace and childcare facilities
• attractive benefits: company pension scheme and capital-forming benefits, UKF job ticket, sports and health offers (Unifit, Hansefit), "corporate benefits" bonus program and other standard hospital benefits
• Professional development through internal and external training courses

As part of a committed and collegial team, you will use your skills for the following tasks in particular:

• Development and optimization of extensive ETL pipelines that merge structured data from various clinical source data systems in our data warehouse (Apache Hop, Kafka Java Streams, scripting)
• Collaboration on the architecture, design and development of data warehouse and business intelligence solutions (based on the Clickhouse columnstore with the aim of close-to-eventtime data integration of continuous data streams)
• Standardization of data from primary systems through to profiling of data in FHIR resources
• Implementation of technical tests and measures to increase data quality
• Provision and operation of various data storage and processing systems
• Provision of data and interfaces for productive (BI) applications and ensuring data consistency and up-to-dateness
• Supporting data analysts in the analysis of complex data

You convince through:

• A degree in computer science or a related discipline
• sound knowledge of the fundamental issues of computer science, such as algorithms and data structures
• a reliable, structured and goal-oriented way of working
• Ability to abstract data and data flows, especially for modeling central database schemas and integrating company-wide data from various sources (databases, file systems, data streams)
• Ideally experience in the productive operation of large DBMS and data-driven development
• ideally experience with design / programming using object-oriented and procedural programming languages as well as sound knowledge of relational and, if applicable, non-relational and column-oriented databases
• Very good written and spoken communication skills
• Prior knowledge of clinical information processing (e.g. HIS, HL7, FHIR), clinical workflows and interoperability standards in healthcare (e.g. LOINC, SNOMED-CT) would round off your profile

The position is part-time (50%). If interested, there is the possibility of extending the position to a full-time position on a project basis.

Are you interested? Then send us your detailed application by 31.10.2024 via our online portal.

University Medical Center Freiburg
Data Integration Center
Dr. Julius Wehrle

Georges-Köhler-Allee 302, 79110 Freiburg

Do you have any questions? Then give us a call or send us an e-mail:

0761/270-22370

General note: Remuneration is based on the pay scale. Full-time positions are generally divisible, provided there are no official or legal reasons to the contrary. Severely disabled applicants will be given special consideration if equally qualified. Recruitment is carried out by the Human Resources department.