Working Student / Intern For Data Product Design & Data Engineering In AWS Lake House

Internship Opportunity at GlobalFoundries

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.

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)

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: 40 hours/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