Working Student -- Software Engineer: Munich

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Munich, Bavaria
Hybrid
Software
The Role

Thank you for your interest in Uncountable Engineering!


Description

Uncountable is hiring working students in our Munich office. Our goal is to revolutionize scientific research and development, and we're looking for motivated students who can help us develop functionality, analyze data, and support the most innovative materials companies in Europe.

 

Our office is located in downtown Munich. You will work with a collaborative team of experienced software engineers and scientific implementation managers, with the opportunity to learn from local Munich employees as well as our teams in San Francisco and New York. 


This position requires a working student commitment of 15-20 hours per week.


Salary Range: 1,3K - 1,6K / month

We offer:

  • Opportunity to apply for additional hours and/or full-time employment based on mutual interest and performance
  • Convenient location near Karlsplatz (Stachus)
  • Competitive salary
  • Flexible hours
  • Dedicated mentorship

Requirements

  • Currently pursuing a degree in Engineering in Munich
  • Average grade of 2,0 or better (or non-German equivalent)
  • Strong communication skills in English
  • Detail oriented, organized and able to work independently

Documents

  • CV and cover letter (English or German)
  • Certificate of enrollment
  • Work and residence permit (for non-EU citizens)

Our Current Stack

  • Backend: Flask (Python), Postgres
  • Frontend: React (Typescript), Redux, Sass

What's next? Learn more about Interviewing at Uncountable


Learn more about our engineering team: Check out our blog

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The Company
HQ: San Francisco, CA
46 Employees
Year Founded: 2016

What We Do

Uncountable helps the world’s largest manufacturers drive innovation. The Uncountable Platform is an Enterprise-class cloud solution for modern global R&D organizations. Modernize your R&D workflows from disparate, dispersed data sets into an integrated R&D knowledge base. Unearth new learnings with visualization tools, and add predictive capabilities to your R&D toolset.

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