<div><span style="font-size: 18px;">Part-time Master's Program starting Oct 2026 or April 2027</span></div> <div>&nbsp;</div> <div>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&nbsp;<strong>InnoMaster Program</strong>&nbsp;is just right for you!</div> <div>&nbsp;</div> <div>As part of the&nbsp;<strong>InnoMaster Big Data Engineering Program</strong>, 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 <span style="font-size: 10.5pt;">(e.g. FH Wedel)</span>, 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.</div> <div>&nbsp;</div> <div>The&nbsp;<strong>InnoMaster Big Data Engineering program</strong>&nbsp;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.</div> <div>&nbsp;</div><br><strong>Your skill set</strong><br> <li><strong>Bachelor degree.&nbsp;</strong>You have completed your IT-related bachelor's or diploma studies with good grades (GPA of 2.5 or better).</li> <li><strong>Admission requirements.</strong>&nbsp;You meet the admission requirements of your preferred IT or data-related program at a university in the Hamburg area.</li> <li><strong>Data engineering.&nbsp;</strong>Your personal software projects reflect your affinity for software development and data engineering.</li> <li><strong>Big Data.</strong>&nbsp;You have an interest in Big Data ecosystems, some experience with Java and Python is a plus.</li> <li><strong>Soft skills.&nbsp;</strong>You enjoy working independently with a strong team-oriented mentality; demonstrate&nbsp;a high level of self-initiative and quick comprehension.</li> <li><strong>English as our company language.</strong>&nbsp;You look forward to using your excellent English skills in both spoken and written form daily.</li> <br><strong>Your power-ups</strong><br> <li><strong>Team of specialists.&nbsp;</strong>Be part of a stable, growing, and award-winning global company. Meet your future colleagues in&nbsp;<a rel="noopener noreferrer" href="https://www.youtube.com/watch?v=tnVWEy5GVYc" class="