Your qualifications:

• completed scientific university studies (Master / Diploma) in the natural sciences (e.g. meteorology, physics, geophysics, geodesy) or engineering sciences (e.g. computer science, geoinformatics, data science, data engineering and analytics) or in comparable fields relevant to the job.
• basic knowledge of the effects of space weather and their influence on technical infrastructures, e.g. in the field of satellite navigation.
• practical experience in the development of modular software in a team for the automated scientific acquisition, analysis and visualisation of multidimensional space weather data using CI/CD and Gitlab/Github
• practical experience in the use of Linux as well as knowledge of the programming languages Python, Go, C++ and Javascript/Typescript (React, Next.js)
• highly motivated to learn about new topics and processes while identifying and communicating approaches to data-driven solutions
• strong communication and teamwork skills and a pragmatic hands-on mentality
• willingness to travel (nationally and internationally)
• very good knowledge of the English language, both written and spoken
• good knowledge of the German language, both written and spoken
• good knowledge and hands-on experience in distributed data management including data modeling and interoperable data delivery (e.g. with database systems such as PostgreSQL, PostGIS, and TimeScaleDB), S3 object stores, API development (e.g. OGC) is an advantage.
• practical experience in virtualisation, containerisation and orchestration of hardware and software components (e.g. KVM, Kubernetes, Docker/Podman, Argo Workflow, Ansible) is a plus.

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.