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Airbus·Manufacturing·8 hours ago
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Working student - AI & Semantic Data Integration for Digital Transformation Architecture (d/f/m)

München AreaMid · 2-5 years

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About this role

Job Description:

In order to support the digital architecture team, Airbus Defence and Space is looking for a

Working student - AI & Semantic Data Integration for Digital Transformation Architecture (d/f/m)

You are a full time student, looking for a working student position and want to get to know work of a digital architect focusing on the frontier of AI?  Then apply now! We look forward to you supporting us in the digital architecture team as a working student (d/f/m) with approx. 18 hours a week! 

  • Location: Ottobrunn in the Munich area

  • Start: November 2026

  • Duration: 12 -24 months

The mission of the architecture unit is to plan and design state of the art, sustainable and secured enterprise digital solutions for our customers, partners and everybody and you can be part of this exciting journey. The transformation programs architecture team, which you will become part of, has the particular mission to define the future to-be target architecture for a full digital continuity of all key value streams of the company. This includes the design of the major enterprise platforms like ALM, PLM, ERP, CRM, MOM/MES but also technology watch and application of emerging technologies. You will specifically focus on the intersection of AI and Data: exploring Agentic Coding, the Model Context Protocol (MCP), and building a unified Semantic Layer (using Neo4j) to enable seamless data integration between architect management tools like Aris, Alfabet, and the Data Catalog.

Definition working student

Working students are students who are enrolled at a University or some other institution of higher education, and who are employed in a reasonably long, fixed-term position parallel to their studies. This position must not be confused with an internship or with the possibility of writing a final thesis.


This employment usually takes place directly on the company's premises. A working student's main focus remains on their studies, which is why, during term-time, working students are not allowed to work more than 20 hours per week.

Working students therefore usually work near their place of study, so as to conveniently combine studying and employment.

Your location

Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Your benefits

  • Attractive salary and work-life balance with an 18-hour week (flexitime).

  • A final thesis is possible after consultation with the department.

  • Mobile working after agreement with the department.

  • Travelling overseas or within Germany (team events) is possible after consultation and agreement from the department.

  • International environment with the opportunity to network globally.

  • Work with modern/diversified technologies.

  • At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.

  • Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities

  • Contribute to the research and exploration of Agentic AI workflows and the Model Context Protocol (MCP) for enterprise use cases.

  • Contribute to the development of a Semantic Layer using Graph Databases (Neo4j) to integrate data across Aris, Alfabet, and the Data Catalog.

  • Contribute to the design of automated data pipelines and semantic mappings between disparate enterprise architecture tools.

  • Contribute to the deployment and orchestration of AI-driven services and integration layers within OpenShift environments.

  • Contribute to the modeling of the digital architecture on different layers (business, functional, data, technical) to support the semantic integration.

 Desired skills and qualifications

  • Enrolled full-time student (d/f/m) in the area of computer science, data science, engineering, or an equivalent field of study.

  • First practical experience in Python programming or working with Graph Databases (e.g., Neo4j) is highly desirable.

  • Interest in cutting-edge AI developments, specifically LLM Agents, RAG, and the Model Context Protocol (MCP).

  • Experience with containerization (Docker) and cloud-native environments like OpenShift is a plus.

  • Familiarity with RESTful APIs and data integration patterns is desirable.

  • Fluent in German and English. 

Please upload the following documents: cover letter, CV, relevant transcripts, enrolment certificate. 

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

#MYCYM

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space GmbH

Employment Type:

GE - Werkstudent

-------

Experience Level:

Student

Job Family:

Support to Management <JF-FA-ES>

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

ManufacturingH1B sponsor likely
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