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Note: Please apply exclusively via our direct application link hosted by Empfehlungsbund and MINTbund.de: https://www.mintbund.de/jobs/289125/working-student-strich-intern-for-data-product-design-und-data-engineering-in-aws-lake-house . We are looking forward to meet you!

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 your health or various discounts for employees

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Über Globalfoundries

Einführung

Die Abteilung für Data Engineering und Analytics bei GlobalFoundries sucht eine studentische Praktikantin bzw. einen studentischen Praktikanten zur Unterstützung bei der Integration von Fertigungs- und Unternehmensdaten aus verschiedenen Quellsystemen. Ziel ist es, Datenprodukte im AWS Lake House zu entwerfen und zu entwickeln.

Stellenprofil

• Unterstützung bei der Umsetzung von Business Cases in ganzheitliche Lösungen unter Verwendung von AWS Cloud Services, PySpark, Python und Redshift/Postgres

• Mitwirkung bei der PL/SQL-Entwicklung für große Datenmengen

• Datenanalyse mit Tools wie AWS Sagemaker, Spotfire, JMP usw.

• Erstellung von Entity-Relationship-Diagrammen für Datenprodukte und Verbesserung der Einhaltung von Datenstandards

• Durchführung aller Tätigkeiten sicher und verantwortungsbewusst unter Einhaltung der Umwelt-, Gesundheits-, Sicherheits- und Schutzvorgaben

Erforderliche Qualifikationen

• Immatrikulierte*r Student*in an einer deutschen Hochschule im Bereich Ingenieurwesen, MINT oder einem verwandten Studiengang

• Verständnis von Ansätzen und Trends in der Datenarchitektur: Kenntnisse in OLAP/OLTP, maschinellem Lernen, generativer KI, Modellierung und Statistik

• Gute Programmierkenntnisse, insbesondere in Python, PySpark und SQL

• Erfahrung mit großen, komplexen Datenprojekten oder großen Datenmengen ist von Vorteil

• Erste Erfahrungen mit Konzepten und Prozessen des Softwareentwicklungszyklus (SDLC) sind wünschenswert

• Ausgeprägte Planungs- und Organisationsfähigkeiten

• Analytische und statistische Fähigkeiten sowie Erfahrung im Bereich Data Engineering sind von Vorteil

• Sehr gute Englischkenntnisse in Wort und Schrift (mindestens C1)

Bitte füge deiner Bewerbung eine aktuelle Immatrikulationsbescheiningung bei.

Zeitraum

• Die Stelle ist ab dem 01.01.2026 für eine Dauer von mindestens 6 Monaten zu besetzen (Praktikum oder Werkstudent)

• Werkstudent: maximal 20 Stunden/Woche während des Semesters und maximal 40 Stunden/Woche während der Semesterferien

• Praktikum: 40 Stunden/Woche

Come Shape What’s Essential

Join one of our teams in Dresden and connect with a global network of colleagues who are shaping the future of technology and impacting the lives of billions of people around the world every day.

The Dresden manufacturing site is recognized throughout as among the most successful leading-edge semiconductor production facilities in the world. Dresden fab represents one of the biggest international investments in Europe with a total investment to date of more than $12 billion, and about 3,200 world-class employees. Select a career path below to learn more about opportunities to become part of the GF team!