(Senior) Data Quality & Automation Engineer (m/w/d)

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.