About GF GlobalFoundries® Inc. (GF®) is one of the world's leading semiconductor manufacturers. GF redefines innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions with leading performance in all growth markets. GF offers a unique mix of design, development and manufacturing services. With a talented and diverse team and manufacturing locations in the U.S., Europe and Asia, GF is a trusted technology provider to its global customers. GF employs approximately 13,000 people, including more than 3,000 in Dresden, Germany. For more information, visit hier. Introduction The Data Engineering and Analytics Group at GlobalFoundries is seeking a working student or intern to assist in integrating manufacturing and enterprise data from various source systems from manufacturing and corporate systems. The working student/intern will support the team in designing and building data products in AWS lake house using. Your Job Assist in translating business cases into holistic solutions involving AWS Cloud Services, PySpark, Python and Redshift/Postgres Support PL/SQL development for high-volume data sets Analyze data using tools like AWS Sagemaker, Spotfire, JMP etc Create data product entity relationship diagrams and improve adherence to data standards Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs Required Qualifications Enrolled at a German university in Engineering, STEM or related field Experience with large, complex data projects – or high-volume data is highly beneficial Understanding of data architecture approaches and trends: Knowledge of OLAP/OLTP, machine learning, generative AI, modeling, and statistics Familiarity with SDLC concepts and processes: Understanding the software development life cycle is advantageous Proficiency in programming languages: Skills in Python, PySpark, SQL are highly recommended Strong planning & organizational skills Analytic & Statistical skills as well as data engineering experience are beneficial Language Fluency - English (Written & Verbal at least C1) Please include a current certificate of enrollment with your application. Period The position is available 01.01.2026 for a duration of at least 6 months (internship or working student) Working student: a maximum of 20 hours/week during the semester and a maximum of 40 hours/week during semester holidays Internship: 40hours/week Benefits Become part of an open and dynamic team Independent work in trust flextime as well as home office Use of further training offers Attractive compensation In-house canteen, fitness studio and physiotherapy Other attractive benefits such as offers to promote yo Hinweis: Dies ist eine gekürzte Anzeige von MINTbund.de - MINT Stellen aus Deutschlandweit. Alle Details erfahren Sie in der Originalanzeige auf https://www.mintbund.de/jobs/289125/working-student-strich-intern-for-data-product-design-und-data-engineering-in-aws-lake-house. Mit Klick auf die Schaltfläche 'Weiter zur Bewerbung' (oder ähnlich lautend) kann es sein, dass Sie hier erst ein Konto anlegen müssen. Sie finden diese Anzeige auch direkt auf der Karrierewebseite des Arbeitgebers auf Empfehlungsbund.de. Schlagworte: MINT. Keine Angaben zum Home Office EBND vorhanden.