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Working student Data Scientist - Aircraft Configuration Management (d/f/m)

Airbus Aircraftvor 7 StundenWerkstudent
€18.53/hrHybridEnglisch erforderlichDeutsch von Vorteil (nicht erforderlich)TechKI, ML & Data Science

Geschätztes Netto

Monatlich netto nach Steuern und Sozialabgaben

€1,329/mo+

Zum Steuerrechner

Erforderliche Skills

PDM toolsMachine LearningBig DataGenerative AISkywisePySparkLLMsData ModelingSQL

Stellenbeschreibung

Airbus Aircraft hat diese Anzeige veröffentlicht. Wir haben unten unseren eigenen Werkstudenten-Kontext ergänzt — was diese Stelle für deine Wochenstunden, dein Netto und dein Studierendenvisum als Studierende:r in Hamburg, Deutschland bedeutet.

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Beschreibung bereitgestellt von Airbus Aircraft

Job Description:

In order to support the Configuration Management Airbus Operations is looking for a

Working student Data Scientist - Aircraft Configuration Management (d/f/m)

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

  • Location: Hamburg City Nord
  • Start: 01.09.2026
  • Duration: 12 month

You will receive a collectively agreed salary of at least €18.53 per hour, depending on the job. There are also special payments such as vacation pay.

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: Hamburg City Nord

You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.

City Nord

Are you wondering how you actually get to us from university? Your working student position is in the City Nord. The journey from the University of Hamburg to us takes about 25 minutes by bike or about 40 minutes by bus and train.

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.
  • 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

  • End-to-End Data Mastery: Learn and map the data journey starting from generation in PDM tools to consumption in our Skywise (Big Data) environment.
  • Data Modeling: Perform sophisticated data modeling to represent complex aircraft configurations accurately.
  • Business Analysis & Specification: Interact with business focal points to gather requirements. You will use your functional CM knowledge to translate these needs into technical specifications for yourself or a small development team.
  • Data Engineering: Develop and implement robust data pipelines using SQL and PySpark.
  • Health & Monitoring: Maintain the integrity of our data products, ensuring continuous monitoring and reliability of datasets.
  • AI Integration: Apply your Machine Learning fundamentals to real-world industrial problems, proactively adopting AI tools to optimize daily activities.

Desired Skills And Qualifications

  • Enrolled full time student (d/f/m) in a Master’s degree in Data Science, Computer Science, or Information Technology.
  • Technical Stack:
    • Proficiency in SQL and PySpark.
    • Solid understanding of Big Data systems and architecture.
    • Strong fundamentals in Machine Learning.
    • Basic knowledge in Generative AI and LLMs.
  • Soft Skills: Analytical mindset, ability to translate "Business speak" into "Tech speak," and a proactive curiosity for aviation.
  • Languages: Good level of English (daily professional use) and German knowledge would be beneficial.
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!

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 Operations GmbH

Employment Type:

GE - Werkstudent

Experience Level:

Student

Job Family:

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 [email protected] .

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.

#YESPOST

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