Job
In this role, you will develop innovative data solutions, support research data management activities, and create user-focused training in the DLR context. You will integrate data, lead projects, and visualize information for research purposes.
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Your role in the team
- We are looking for a scientist with expertise in data engineering to join our interdisciplinary, growth-oriented team.
- As an expert in data engineering, you will play a key role in shaping the future data landscape at DLR by developing and implementing more effective ways of working with data and processes.
- In addition, you will be involved in providing content-related and organizational support to DLR’s NFDI consortia, as well as to other national and European research data management activities.
- Data integration by merging existing cross-domain and interdisciplinary data collections using disciplinary metadata in accordance with FAIR principles. Handling data and processes in research data management (RDM) and the NFDI.
- Conceptualization and development of a data hub/space for the virtual environment of interconnected DLR repositories, and provision of an integrated view of the datasets archived in these repositories.
- Establishment and further development of knowledge management and standardization within DLR and the NFDI consortia 4ING and 4Earth.
- Consulting and administrative support for the NFDI consortium (e.g. fund transfers, budget reviews, project reports).
- Leading work packages in the Community Cluster of the NFDI4Ing consortium.
- Close collaboration with the NFDI consortium committees.
- Selection, testing, and use of concepts and methods for creating clear visualizations of datasets in the repositories.
- Development and coordination of FDM networking between data engineers, domain users, and researchers.
- Creation of user-oriented guides, training materials, and course content based on DMPs, metadata, and repository concepts.
- Dissemination of information and training via the DLR Wiki, intranet, and Yoda.
- Planning, developing, and delivering training and consulting services for researchers.
- Scientific dissemination and presentation of results in journals, data publications, and at specialist conferences.
Our expectations of you
Education
- Completed university degree (Master’s or university Diploma) in formal sciences or natural sciences (e.g. computer science, statistics or mathematics), or another degree relevant to the role.
Qualifications
- Familiarity with the subject areas of “Digital Transformation” and “Information Infrastructures”.
- Good knowledge of research data management and data science.
- In-depth knowledge of current technologies, as well as IT trends and market developments in the areas of Open Data and data sharing.
- Good command of German and English, both written and spoken.
Experience
- Experience in the German research system; experience in the European research system is an advantage.
- Relevant knowledge and practical experience in data management, data organization, data processing, database programming, and data analysis.
- Programming experience (e.g., Python, Java, JavaScript, C++).
What we offer
- Compensation is provided in accordance with the applicable collective agreements for the public sector (federal level).
- The DLR stands for diversity, appreciation, and equality for all people.
- We encourage our employees to work independently and support their personal and professional development.
- You can take advantage of our wide range of training and professional development opportunities.
- Equal opportunities are particularly important to us, and we therefore aim to increase the representation of women in academia and leadership.
- We give preference to applications from people with severe disabilities, provided they are professionally qualified.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
As one of the leading research centers in the field of aerospace in Germany, DLR offers its approximately 8,700 employees the unique diversity of topics in aviation, spaceflight, energy, traffic, security and digitalization.
- 250+ Employees
- Established Company
- Onsite, Hybrid
- Agriculture, Silviculture
Employer reviews
- Working conditions
- 4.2
- Career growth
- 2.8
- Engineering
- 3.2
- Team culture
- 3.5
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