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HEHelmholtz Zentrum für Umweltforschung UFZ

Scientist for Environmental Data and Modelling Systems(m/w/x)

Leipzig, Halle (Saale)
Full-time, Part-timeWith Home Office
Data Science

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

  • EnglishBusiness 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
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