Master Thesis Student (d/f/m) on Cloud Data Analytics & Pipelines
Airbus • München Area
Vor 11 Stunden
Anstellungsart
- Vollzeit
Stellenbeschreibung
Job Description: In order to support E-Aircraft Systems, part of Airbus X-Labs, Airbus Defence and Space is looking for a
Master Thesis Student on Cloud Data Analytics & Pipelines (d/f/m)
You are looking for a master thesis and are interested in the topic “Cloud Data Analytics & Pipelines ”? Then apply now! We look forward to you supporting us in E-Aircraft Systems as a master’s thesis student(d/f/m)!- Location: Taufkirchen / Ottobrunn
- Start: January 2027 (adjustment possible)
- Duration: 5-6 Months
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 35-hour week (flexitime).
- Traveling 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 depending on your profile
- Program data post-processing routines using cloud-native tools to harmonize raw test data.
- Design and create automated data analytics pipelines within the cloud solution, managing flow from ingestion to prepared datasets.
- Execute advanced data analysis and exploration (interactive or code-based)
- Create final visualizations and dashboards to share key metrics
Requirements
Education
- Enrolled student (d/f/m) computer science, data science, IT, engineering or similar field of study
Software skills (programming languages) and technical skills
- Python, Pandas/Polars (Programming in general)
- Microsoft Office or Google Suite
Languages
- English (mandatory)
- German (nice to have)