Data Spaces Software Engineer

Job Details



  • Develop and extend data spaces components, such as ETL tools, vocabulary providers, smart services and others
  • Integrate these components within the hale connect platform for different deployments (public cloud, private cloud, on premise)
  • Contribute to backend development for the hale connect platform


Your Profile


  • Dipl. Inf., M.Sc. or Ph.D. in Computer Science or a related field
  • 2 or more years of relevant industry or research experience
  • Very good knowledge of Java
  • Good knowledge of web services technology (REST services, Caching, HTML, JavaScript/AJAX)
  • Good knowledge of cloud platforms and technology (AWS, Kubernetes, Docker)
  • Proactive, motivated and reliable personality
  • Analytic and creative
  • Excellent verbal and written communication skills
  • Fluent (C1+) in German or English


Bonus Qualifications


  • Good knowledge of Git /Github and CI processes
  • Good knowledge of Groovy and Vert.x
  • Good knowledge of database technology
  • Geospatial/GIS or ETL/Integration domain knowledge


Our Offer


The most important is of course the work environment: At wetransform, you will work with an innovative and smart team of experts from six countries. Our customers come from 15 different countries, and we solve interesting challenges for them. Professional growth of everybody through peer to peer feedback is a core tenant of our company culture.

  • Professional growth in an innovative and smart team
  • Health Care Benefits such as Gym memberships
  • Flexible working hours with the possibility of working from home
  • Central, state-of-the art office in downtown Darmstadt
  • Foreseen base salary range is 55k€ to 70k€, based on experience, fit and location (as location impacts ancillary wage costs)
  • Equity Share via Employee Stock Option Programme (0.4 to 0.8%)
  • Annual bonuses


About Us


wetransform gmbh is a Fraunhofer Spin-Off based in Darmstadt, Germany. We are a group of experienced software engineers and innovation managers. We develop easy to use, cutting-edge, scalable, robust and accessible data transformation solutions, with a focus on geospatial information. Through our work, methods for data processing become shareable assets developed together.

We value personal responsibility, open feedback, creativity, trust, professional development and work with a strong sense of fairness.

Join Our Team!

Please apply by sending an email with your cover letter and CV to