We are looking for a (Senior) Data Quality & Automation Engineer to build reliable, scalable data foundations for R&D. You will work with complex semiconductor data (wafer, sample, measurement, process) and help enable digital twins, advanced analytics, and efficient execution by making data trusted, traceable, and automated.
Key responsibilities
- Define and evolve data models for R&D entities
- Design and implement robust data pipelines and automated data quality checks
- Improve traceability and metadata management so data can be understood, trusted, and reused across teams
- Help establish engineering standards for data handling, testing, monitoring, versioning, and documentation
- Support the development of scalable digital twin, analytics, and workflow automation use cases by ensuring data is fit for purpose
- Evaluate, prototype, and decide when to apply AI/ML vs. rule-based approaches in production data pipelines, balancing impact, complexity, and maintainability
What you bring
- University degree in Computer Science, Engineering, Physics, Chemistry or a related field
- Relevant professional experience in building production-grade systems (3-5 years for Middle, 5-8 years for Senior)
- Strong experience in data engineering, backend, and software engineering
- Hands-on skills in Python, SQL, APIs, and data pipelines
- Proven ability to design reliable pipelines and automate validation of complex data
- Strong understanding of data quality, traceability, schema design, and maintainability
- Experience with workflow automation, dashboarding, or integrating engineering data into operational/project processes
- Experience with testing, monitoring, and production-grade engineering practices
- Ability to work in ambiguous environments with imperfect processes and legacy systems
- Strong communication skills in English and German, with the ability to collaborate effectively with engineers, researchers, and project stakeholders
Nice to have
- Experience with semiconductor, manufacturing, lab, metrology, test, or scientific data
- Experience implementing AI/ML pipelines in real production environments
What matters most
You bring a strong data and software quality mindset. You build solutions that are robust, testable, maintainable, and trusted by engineers and project teams.
What Nexperia offers
- Real-world, complex data challenges in semiconductor engineering
- Opportunity to build data-driven and digital twin solutions at scale
- Collaborative, international environment with strong engineering focus
Talent acquisition based on Nexperia vacancies is not appreciated. Nexperia job adverts are Nexperia copyright © material and the word Nexperia® is a registered trademark.
D&I Statement
As an equal-opportunity employer, Nexperia values diversity not just because it is the right thing to do but because diverse teams perform better. We are dedicated to being inclusive, and a proof point of this dedication is that we were the main partner of the very first Dutch Paralympic Team NL House during the Paris 2024 Paralympic Games. Our recruitment process is inclusive and accessible to all, and we consider all applicants fairly, as well as providing a safe work environment and reasonable adjustments where requested.
In addition, we offer our colleagues the possibility to join employee resource groups such as the Pride Network Group or global and local Women's groups. Nexperia is committed to increasing women in management positions to 30% by 2030.
