Semantic Engineer/ Semantic Technology Expert – Aerospace (m/w/d)

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Stellenbeschreibung - Semantic Engineer/ Semantic Technology Expert – Aerospace (m/w/d)

connecticum Job 1698448

Capgemini Engineering is the global market leader in engineering and research and development services. With cutting-edge digital technologies and innovative software, we are shaping the smart industry of tomorrow: on the road, in the air, on the seas, in rail transport, in energy supply and in the fields of life science, telecommunications, semiconductors, electronics and finance. We employ more than 55,000 engineers and scientists in over 30 countries.

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. This requires one thing above all: human energy! And that's why we're looking for you. Are you enthusiastic about technology, ambitious and want to shape progress together with us?

Your new job

  • Working in the digitalization environment of new developments…/ Working in the Industrial Digital Twin environment for the Aerospace Industry you will identify, describe, and analyse gaps in cameo model as per the defined ontology.
  • Map terminologies between cameo model and ontology, OWL File extraction, Turtle File conversion, pushing data to semantic web, extraction of data from Semantic web using SPARQL Protocol and RDF Query Language.
  • Link Ontologies to model elements for customized document generation purposes using special MBSE tools for such purposes
  • Use your experience in architecture and design development, decomposing the industrial systems stakeholders’ requirements into functional, logical, and technical layers using cameo, MOFLT framework and SysML language.

Your profile

  • Successfully completed studies in Information Technology, Aerospace, Electrical or Mechanical Engineering or comparable scientific studies
  • Experience in Model Based Systems Engineering with sound knowledge in requirements engineering, architecture and design development, system integration, verification, and validation.
  • 3 years of experience in core semantic technologies (RDF, Knowledge graphs, OWL, Turtle, SPARQL or similar querying language) and semantic web.
  • Knowledge of commonly used ontology and terminology tools (Protégé)
  • Strong stakeholder management skills, considering various frames of reference and ensuring cross functional alignment in decision making.
  • Familiar with Python/Java/Jython programming language
  • CAMEO Systems Modeler knowledge (desirable)
  • Strong strategic and communication skills.
  • Good written and verbal skills, fluent English

What else we have to offer in our Digital Manufacturing department at Capgemini Engineering:

  • Opportunities for development and personal responsibility from day one
  • Teamwork on an equal footing with varied and challenging tasks
  • A team that enjoys working together
  • Flexibility in the organization of your daily routine in a constantly growing international team and a company-wide network of IT experts in various areas of digital engineering and manufacturing.

Our offers of advanced training, professional exchange and practice-oriented coaching will take your career to the next level. This is how you put our business and your career on the road to success together. The comprehensive benefits package of compensation, training and flexibility leaves nothing to be desired.


If you have any questions, please contact our DEMS Recruiting Team at Please note, for data protection reasons, all applications received by e-mail will not be considered and will be automatically deleted. Apply exclusively via the Apply button.

We are looking forward to your application!

Informationen zur Bewerbung

Semantic Engineer/ Semantic Technology Expert – Aerospace (m/w/d)

Connecticum Job 1698448
Ingenieurwissenschaften: Allg. Ingenieurwissenschaften, Architektur, Maschinenbau
Informatik: Informationstechnik
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