Job
- Level
- Junior
- Job Field
- Data, Application
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Ottobrunn
- Working Model
- Onsite
Job Summary
In this role, you will develop a unified semantic layer using Neo4j, explore Agentic AI workflows, and design automated data pipelines for integrating architecture tools.
Job Technologies
Your role in the team
- 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 (m/f/d).
- You are a full-time student, looking for a working student position and want to get to know the 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 (m/f/d) with approx. 18 hours a week!
- The mission of the architecture unit is to plan and design state-of-the-art, sustainable, and secure enterprise digital solutions for our customers, partners, and everyone, 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.
- 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 semantic integration.
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Our expectations of you
Qualifications
- Enrolled full-time student (m/f/d) in the field of computer science, data science, engineering, or an equivalent area of study.
- Interest in cutting-edge AI developments, specifically LLM Agents, RAG, and the Model Context Protocol (MCP).
- Vertrautheit mit RESTful APIs und Datenintegrationsmustern ist wünschenswert.
- Fluent in German and English.
Experience
- First practical experience in Python programming or working with Graph Databases (e.g., Neo4j) is highly desirable.
- Experience with containerization (Docker) and cloud-native environments like OpenShift is a plus.
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What we offer
- Attraktives Gehalt und Work-Life-Balance mit einer 18-Stunden-Woche (Gleitzeit).
- A final thesis is possible after consultation with the department.
- Mobile working after agreement with the department.
- Traveling abroad 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Airbus Deutschland GmbH
Airbus is the world's leading provider of air and space transportation, as well as related services.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.3
Career Growth
3.2Engineering
2.8Workingconditions
4.0Culture
3.5