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Scientist for Environmental Data and Modelling Systems(m/w/x)
Designing and implementing data and modelling infrastructure for environmental research. Several years of experience with R/Python, PostgreSQL, and AWS required. Flexible working hours, attractive public-sector benefits.
Requirements
- University degree (Master's, Diploma, Doctorate) in Environmental Informatics, Computational/Data Science, Ecological Modelling, Information Technology, Applied Mathematics, Bio-/Geoinformatics, or comparable natural science with computational/data focus
- Proven experience with FAIR principles
- In-depth knowledge and several years of experience in R/Python, Vue.js, PostgreSQL, GraphQL, AWS, PHP Symfony
- Interface and API development, metadata management
- Containerisation (Kubernetes, Docker) and connection to HPC/cloud infrastructures
- Object storage (S3)
- Use and adaption of modelling environments (R, Python)
- Integration of research data infrastructures, development of monitoring/visualization solutions
- Experience with agile methods, product manager collaboration, collaboration tools (JIRA/Confluence, GitLab)
- Excellent and dependable team player, prioritizes collaboration, confident expertise contribution, independent and autonomous work
- Active participation in transparent feedback culture (pair programming, reviews, retrospectives)
- Willingness to collaborate with non-tech colleagues, ability to translate complex technical concepts to non-technical audiences
Tasks
- Design and implement data and modelling infrastructure
- Build scalable data architectures for data harmonisation
- Create robust, automated data pipelines and APIs
- Develop reproducible data and modelling workflows
- Set up and manage containerized modelling environments
- Enable scalable execution in cloud and HPC infrastructures
- Integrate ecological modelling approaches into workflows
- Contribute to bird diversity monitor development
- Translate scientific concepts into system components
- Establish standards and best practices for digital twins
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Vue.js
- PostgreSQL
- GraphQL
- AWS
- PHP Symfony
- Kubernetes
- Docker
- HPC
- S3
- JIRA
- Confluence
- GitLab
Benefits
Flexible Working
- Flexible working hours
Family Support
- Work-life balance support
- Family Support
Other Benefits
- Support for international colleagues
- Capital-forming benefits
- Accessibility
Additional Allowances
- Special annual payment
Public Transport Subsidies
- Subsidised Germany Job Ticket
Informal Culture
- International Office
- Home
- Jobs in Germany
- Scientist for Environmental Data and Modelling SystemsScientist for Environmental Data and Modelling Systems at...
Not a perfect match?
- Helmholtz Zentrum für Umweltforschung UFZFull-time/Part-timeTemporary contractWith HomeofficeCareer ChangerLeipzigfrom 61,955 - 78,087 / year
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- Home
- Jobs in Germany
- Scientist for Environmental Data and Modelling SystemsScientist for Environmental Data and Modelling Systems at...
Scientist for Environmental Data and Modelling Systems(m/w/x)
Designing and implementing data and modelling infrastructure for environmental research. Several years of experience with R/Python, PostgreSQL, and AWS required. Flexible working hours, attractive public-sector benefits.
Requirements
- University degree (Master's, Diploma, Doctorate) in Environmental Informatics, Computational/Data Science, Ecological Modelling, Information Technology, Applied Mathematics, Bio-/Geoinformatics, or comparable natural science with computational/data focus
- Proven experience with FAIR principles
- In-depth knowledge and several years of experience in R/Python, Vue.js, PostgreSQL, GraphQL, AWS, PHP Symfony
- Interface and API development, metadata management
- Containerisation (Kubernetes, Docker) and connection to HPC/cloud infrastructures
- Object storage (S3)
- Use and adaption of modelling environments (R, Python)
- Integration of research data infrastructures, development of monitoring/visualization solutions
- Experience with agile methods, product manager collaboration, collaboration tools (JIRA/Confluence, GitLab)
- Excellent and dependable team player, prioritizes collaboration, confident expertise contribution, independent and autonomous work
- Active participation in transparent feedback culture (pair programming, reviews, retrospectives)
- Willingness to collaborate with non-tech colleagues, ability to translate complex technical concepts to non-technical audiences
Tasks
- Design and implement data and modelling infrastructure
- Build scalable data architectures for data harmonisation
- Create robust, automated data pipelines and APIs
- Develop reproducible data and modelling workflows
- Set up and manage containerized modelling environments
- Enable scalable execution in cloud and HPC infrastructures
- Integrate ecological modelling approaches into workflows
- Contribute to bird diversity monitor development
- Translate scientific concepts into system components
- Establish standards and best practices for digital twins
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Vue.js
- PostgreSQL
- GraphQL
- AWS
- PHP Symfony
- Kubernetes
- Docker
- HPC
- S3
- JIRA
- Confluence
- GitLab
Benefits
Flexible Working
- Flexible working hours
Family Support
- Work-life balance support
- Family Support
Other Benefits
- Support for international colleagues
- Capital-forming benefits
- Accessibility
Additional Allowances
- Special annual payment
Public Transport Subsidies
- Subsidised Germany Job Ticket
Informal Culture
- International Office
About the Company
Helmholtz Zentrum für Umweltforschung UFZ
Industry
Science
Description
The Helmholtz Centre for Environmental Research (UFZ) is an international competence centre for environmental sciences, focusing on balancing social development and natural resource protection.
Not a perfect match?
- Helmholtz Zentrum für Umweltforschung UFZ
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