How do I apply for the Working student (f/m/d) - AI & Data Engineering Support position at Siemens Energy and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Working student (f/m/d) - AI & Data Engineering Support role?

This position is a part-time, structured as a hybrid role.

What educational background or degree level is required for the Working student (f/m/d) - AI & Data Engineering Support at Siemens Energy?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Siemens Energy provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Working student (f/m/d) - AI & Data Engineering Support

Siemens Energy

Found 1 month ago

Location

Erlangen, Germany

Time

Part-time

Work Mode

Hybrid

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

AI
Data Engineering
LLMs
Python
data analysis

Soft Skills

Analytical and structured problem-solving mind set
Curiosity for new technologies and AI developments
Ability to learn quickly and work independently on clearly defined tasks

Job Description

In the AI & Data Engineering Support role, you will assist the AI engineering team in developing, testing, and maintaining AI‑driven tools for data monitoring, documentation access, and operational insights. You will contribute to AI prototypes, data quality checks, and knowledge‑retrieval solutions that improve access to technical and operational information. Guided by senior engineers, you’ll support experiments, tooling, and automation while gaining hands‑on experience with applied AI, data engineering, and enterprise data environments in industrial and energy operations, including power plant settings.

Requirements

Analytical and structured problem-solving mind set
Curiosity for new technologies and AI developments
Ability to learn quickly and work independently on clearly defined tasks
Initial experience through coursework, university projects, internships, or personal projects
Experience with Git or collaborative development environments is beneficial
Interest in how AI and data analytics can support engineering and industrial operations

AI & Machine Learning

Applied Machine Learning

Nice to Haves

Experience with Git or collaborative development environments

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