German Language German (Germany) English (United Kingdom) Job notification by e-mail back The Data Integration Center (DIZ) is looking for the next possible date for a DataOps Engineer / System Administrator (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 you as a DataOps Engineer for an exciting environment in which you will have the opportunity to work with modern technologies on groundbreaking projects in the areas of data management, business intelligence and big data. Become part of our dedicated team and play a key role in shaping the future of data-driven medicine at 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: General administration such as server operation and monitoring Design and further development of the DataOps system architecture and updating of operating documentation Automation of processes using scripts (e.g. Bash, Python) Operation and ongoing implementation of technical components from the MII and NUM networks Introduction and further development of infrastructure tools for system monitoring Connection of the protected data room to the backend structures / data warehouse (based on clickhouse technology) Establishment and further development of a scientific workstation or protected data room (based on R-Studio, Jupyter Notebook, etc.) in the context of the DIZ service spectrum Support for data scientists in the analysis of complex data Prospective further development of the software components into a Kubernetes-based DIZ analysis environment as a Platform-as-a-Service (PaaS) You should have the following qualifications A degree in (bio/medical/economic) computer science, data science or several years of professional experience in the field of computer science a reliable, structured and goal-oriented way of working Knowledge of modern operating, development and integration methods (e.g. Docker, Kubernetes, "Infrastructure / Platform as Code", Apache Kafka), own experience in this area is desirable Experience in the productive operation of IT applications Very good knowledge of Linux Experience with programming using programming languages, such as Java or Python, for automation and data integration Very good written and spoken communication skills ideally experience with common data analysis tools and technologies (such as R-Studio, Numpy, Pandas, TensorFlow etc.) Prior knowledge of clinical information processing (e.g. HIS, HL7, FHIR), clinical workflows and interoperability standards in healthcare (e.g. LOINC, SNOMED-CT) would be desirable The position is initially limited until the end of 2026 due to the project. Are you interested? Then send us your detailed application by 15.12.2023 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 information: 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 persons will be given special consideration if equally qualified. Recruitment is carried out by the Human Resources department.