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 15,000 people, including more than 3,200 in Dresden, Germany.
For more information, visit www.gf.com.
We are looking for a Yield Data Engineer to ensure reliable delivery of ready-to-use engineering data for the yield analysis in GLOBALFOUNDRIES Fab 1, the most advanced semiconductor manufacturing facility in Europe. The yield is a key indicator for the quality of the production process and the success of the company. You will work at the interface between IT and data analysts in a team that provides data and software applications for the engineering departments in Fab 1.
Please apply if you are a data-oriented mathematician or engineer who is familiar with statistical methods and data analysis concepts. You should have basic knowledge of databases and SQL query development (preferably in MySQL, Oracle, PostgreSQL, AWS Redshift). You should be able to program scripts to calculate and manipulate data (preferably in Perl, Python, and R). Ideally, you are familiar with machine learning methods and the related programming. Knowledge in semiconductor technology is a plus, but not a must. Most importantly: you are curious of semiconductor manufacturing, enjoy working in an international and very competitive environment and would like to be part of an enthusiastic team.
- Understand the needs of data analysts, support them with analysis-ready data, and advise them on data analysis methods
- Support engineering data marts in a high-volume production facility
- Develop database queries
- Database maintenance and administration
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements
- Education/Experience – Master’s degree in mathematics, statistics, data science, physics, engineering, or a related field
- A genuine interest in data provision with high quality
- Advanced problem solving and collaboration skills
- Management of small and medium projects
- At least 1 year experience in data engineering
- Fluency in the English Language – written & verbal
The position is open-ended and to be filled as soon as possible.
Attractive compensation components:
13th month salary, bonus payments, assistance with relocation to Dresden.
Flexible working time arrangements:
Family friendly part-time models, trust flextime, salary conversion into free time
Diverse opportunities for further development:
Career stages for every job, internal qualification offers, promotion of external educational qualifications
Focus on your health:
On-site gym and beach volleyball court, bike leasing, subsidized employee restaurant
Cooperation at eye level – everyone is on first name terms with us, budget for individual team events, social commitment via GlobalGives
You can find more benefits in detail at: https://gfdresden.de/karriere/#benefits
Diversity is part of our corporate DNA. For this reason, we would like to encourage women in particular to apply for a job with us.
Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/
Apply for job
To view the job application please visit globalfoundries.wd1.myworkdayjobs.com.