Company
Boeing
Location
Munich, Germany
Employment type
Part-time
Seniority
Intern
Primary category
Data Engineering
Posted date
10 Apr 2026
Valid through
9 Jun 2026
Company:
Boeing Deutschland GmbH - BDGAbout the role
We are looking for an Working Student to support the development of digital infrastructure concepts for industrial drilling systems. The focus of the role is to understand how machine and process data are generated in a PLC-controlled drilling setup, how these data should be structured and stored, and how they can be transferred into OEM-side systems for further use.
The Working Student will support work at the interface of manufacturing, automation, and data engineering. A key objective is to enable structured, usable, and traceable drilling data that can support process analysis and performance monitoring.
Job details:
The Working Student will be 80% of working time at the Technical University Munich and 20% at the Boeing Munich Office.
Working Hours: 20h per week during semester and 40h per week during semester break.
Contract Duration: 6 months.
Position Responsibilities:
Support the analysis of a PLC-controlled drilling setup in a supplier environment
Help identify relevant metadata to be captured during drilling operations
Support the definition of a suitable data model for storage, traceability, and later analysis
Contribute to concepts for data flow from the supplier-side machine environment to OEM-side infrastructure
Help assess how the digital setup can be aligned with OEM requirements for integration and data handling
Support the preparation of structured data for downstream analysis and generation of process-related metrics
Assist in documenting interfaces, information flow, and technical requirements for future implementation
Basic Qualifications (Required Skills/Experience):
Currently enrolled in a Bachelor/Master/PhD degree program as student
Fluent English speaker
Fluent German speaker
Existing rights to work in Germany
Preferred Qualifications (Desired Skills/Experience):
Currently enrolled in a Master’s program in Mechanical Engineering, Aerospace Engineering, Manufacturing / Production Engineering, Electrical Engineering, Mechatronics, or a related field
Strong interest in digital manufacturing, industrial automation, and data-driven production systems
Basic understanding of industrial control systems, PLCs, or machine automation
Familiarity with handling technical datasets, including process data and metadata
Ability to think across system interfaces, from machine-level data generation to higher-level data usage
Structured, analytical, and self-driven way of working
Experience or academic exposure in one or more of the following areas is beneficial:
Industrial communication and connectivity
Data acquisition from machines or production systems
Python or similar tools for data handling and analysis
Manufacturing process monitoring
Database concepts, data structuring, or traceability in production environments
Siemens-based automation environments
Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process
Language Requirements:
Not ApplicableEducation:
Not ApplicableRelocation:
Relocation assistance is not a negotiable benefit for this position.Security Clearance:
This position does not require a Security Clearance.Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.Contingent Upon Award Program
This position is not contingent upon program awardShift:
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