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InnoMaster Big Data Engineering - part-time Master's Program

InnogamesHamburg🇩🇪GermanyPosted 22 Apr 2026

Why This Role Stands Out

This unique program offers you the chance to earn a Master's degree in Big Data Engineering while gaining hands-on experience and a fixed salary, with all tuition fees covered. You'll thrive here if you're eager to blend academic learning with practical application in a supportive environment that fosters continuous skill development and career growth. Don't miss this exceptional opportunity to launch your advanced career in Big Data!

Quick Overview

Seniority
Mid Senior
Employment type
Combined Study
Work mode
On Site
Location
Hamburg, Germany
Posted
4 months ago
Google CloudHadoop

Job Description

Part-time Master's Program starting Oct 2026 or April 2027
 
Do you have a passion for Big Data? Do you want to make your Master studies exciting and practical? Do you wish to continue studying after your Bachelor's degree while simultaneously stepping into the professional world? And all this with a fixed monthly salary and complete coverage of tuition fees? Then, our InnoMaster Program is just right for you!
 
As part of the InnoMaster Big Data Engineering Program, you'll typically study alongside your job at a university offering an accredited part-time Master's program in IT/Data Engineering located in Hamburg or its surroundings (e.g. FH Wedel), and we'll cover the costs for you! Concurrently, you'll gain valuable practical work experience working within various Big Data environments such as Google Cloud and on-site Hadoop, allowing you to apply your theoretical knowledge directly into practice! Support our Data Engineers and Data Scientists in processing, managing, and analyzing our data. In addition to responsible tasks and appropriate compensation, we offer participation in training sessions (related to the field, programming languages, or soft skills) and support in further career development.
 
The InnoMaster Big Data Engineering program is designed for approximately three years, with a weekly workload of 25-40 hours depending on your university schedule. We are happy to assist if you have further questions regarding the program.
 

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