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# Working student - AI & Semantic Data Integration for Digital Transformation Architecture

- **Company:** Airbus Deutschland GmbH
- **Location:** Ottobrunn, Germany
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Integration, Neo4j, Aris Software
- **Published:** September 2, 2026
- **Apply:** https://www.arbeitsagentur.de/jobsuche/jobdetail/16947-967390929-S

## About the Role

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

## Description

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


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