Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Onsite
Job Summary
In this role, you will develop and automate robust data pipelines to enhance the quality and traceability of complex semiconductor data, supporting digital twins and advanced analytics.
Job Technologies
Your role in the team
- 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.
- 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.
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Our expectations of you
Education
- University degree in Computer Science, Engineering, Physics, Chemistry or a related field.
Qualifications
- Hands-on skills in Python, SQL, APIs, and data pipelines.
- Proven ability to design reliable pipelines and automate validation of complex data.
- Starkes Verständnis von Datenqualität, Nachverfolgbarkeit, Schemadesign und Wartbarkeit.
- 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.
Experience
- 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.
- Experience with workflow automation, dashboarding, or integrating engineering data into operational/project processes.
- Experience with testing, monitoring, and production-grade engineering practices.
- Experience with semiconductor, manufacturing, lab, metrology, test, or scientific data.
- Experience implementing AI/ML pipelines in real production environments.
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What we offer
- You bring a strong data and software quality mindset.
- You build solutions that are robust, testable, maintainable, and trusted by engineers and project teams.
- 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.
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Topics that you deal with on the job
Job Locations
This is your employer
NEXPERIA B.V.
Nexperia B.V. is a leading semiconductor manufacturer specializing in the development and production of discrete components, logic devices, and MOSFETs. Since becoming independent in 2017, the company has established itself as a key player in the electronics industry.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization
Senior Data Quality & Automation Engineer
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
