YOU
- develop Skywise dashboards based on ontology-driven data structures
- model objects properties and relationships in line with the Skywise/Palantir ontology framework
- map heterogeneous datasets to semantic business objects (e.g. assets work orders equipment) within the ontology layer
- ensure a consistent object-oriented data representation across various workflows dashboards and analytical environments
- collaborate closely with data engineers analysts and subjectmatter experts to optimize the use of ontology structures
Qualifications :
YOU
- hold a degree in Data Science Data Engineering Computer Science Engineering with an IT focusideally Aerospace Informatics Systems Engineering or a comparable qualification
- have relevant experience working with semantic or objectoriented data modeling
- possess knowledge of Palantir or Skywisebased ontologies
- are able to understand complex data structures and datadriven business processes
- have strong German and English language skills both written and spoken
We value diversity and therefore welcome all applications regardless of gender nationality ethnic and social origin religion/belief disability age sexual orientation and identity.
Severely disabled persons will be given preferential consideration if equally qualified.
Any questions
Then get in touch with me: Enis Duric (Tel.:-314).
Or apply now using our online application form.
Additional Information :
- Talent management we develop your career
- Work-life balance flexible working hours and mobile working possible
- Fit and relaxed with EGYM Wellpass
- Enjoy biking always on the road with company bike leasing
- Green mobility with us you can travel at a reduced rate
- IT communities knowledge exchange further development and networking with colleagues
...we also offer a permanent employment contract corporate benefits and team events.
Remote Work :
No
Employment Type :
Full-time
YOUdevelop Skywise dashboards based on ontology-driven data structuresmodel objects properties and relationships in line with the Skywise/Palantir ontology frameworkmap heterogeneous datasets to semantic business objects (e.g. assets work orders equipment) within the ontology layerensure a consisten...
YOU
- develop Skywise dashboards based on ontology-driven data structures
- model objects properties and relationships in line with the Skywise/Palantir ontology framework
- map heterogeneous datasets to semantic business objects (e.g. assets work orders equipment) within the ontology layer
- ensure a consistent object-oriented data representation across various workflows dashboards and analytical environments
- collaborate closely with data engineers analysts and subjectmatter experts to optimize the use of ontology structures
Qualifications :
YOU
- hold a degree in Data Science Data Engineering Computer Science Engineering with an IT focusideally Aerospace Informatics Systems Engineering or a comparable qualification
- have relevant experience working with semantic or objectoriented data modeling
- possess knowledge of Palantir or Skywisebased ontologies
- are able to understand complex data structures and datadriven business processes
- have strong German and English language skills both written and spoken
We value diversity and therefore welcome all applications regardless of gender nationality ethnic and social origin religion/belief disability age sexual orientation and identity.
Severely disabled persons will be given preferential consideration if equally qualified.
Any questions
Then get in touch with me: Enis Duric (Tel.:-314).
Or apply now using our online application form.
Additional Information :
- Talent management we develop your career
- Work-life balance flexible working hours and mobile working possible
- Fit and relaxed with EGYM Wellpass
- Enjoy biking always on the road with company bike leasing
- Green mobility with us you can travel at a reduced rate
- IT communities knowledge exchange further development and networking with colleagues
...we also offer a permanent employment contract corporate benefits and team events.
Remote Work :
No
Employment Type :
Full-time
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