How do I apply for the Working Student (f/m/d) - Digital Innovation 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) - Digital Innovation 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) - Digital Innovation at Siemens Energy?

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

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) - Digital Innovation

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

Master

Skills & Qualifications

Technical Skills

Python
Git
Azure
cloud data platforms
Snowflake

Soft Skills

Proactive
reliable
independent
eager to learn

Job Description

Join the Digital Innovation team in the Gas Services Solutions business, contributing to the creation of AI‑driven prototypes and solutions. Support data analysis, help build and maintain data pipelines, and prepare both structured and unstructured data for machine processing. Design and implement software components and proof‑of‑concepts using clean code and maintainable design practices. Document technical decisions and results to promote reuse and knowledge sharing. Continuously bring new ideas and perspectives to drive digital innovation.

Requirements

Currently pursuing a master’s degree in computer science, engineering, or a related field with a focus on software development or data science
Solid software engineering skills: clean and modular coding, testing, Python, and Git
Experience with Azure or cloud data platforms (e.g., Snowflake) is a plus
Proactive, reliable, independent, and eager to learn
Willingness to regularly work on‑site in Erlangen
Working proficiency in English; German is an advantage

Software Engineering

AI/ML/GenAI Engineering

Languages

English

Nice to Haves

Experience with Azure or cloud data platforms (e.g., Snowflake)
German is an advantage

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