Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle arbeitest du an der Entwicklung und Automatisierung robuster Datenpipelines, um die Qualität und Nachverfolgbarkeit komplexer Halbleiterdaten zu verbessern und digitale Zwillinge sowie fortgeschrittene Analysen zu unterstützen.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Engineering, Physics, Chemistry or a related field.
Qualifikationen
- 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.
- 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.
Erfahrung
- 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.
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
NEXPERIA B.V.
Nexperia B.V. ist ein bedeutender Halbleiterhersteller, der sich auf Discrete Bauelemente, Logikbausteine und MOSFETs konzentriert. Seit seiner Gründung als Teil von Philips hat sich das Unternehmen seit 2017 als eigenständige Einheit in der Elektronikbranche positioniert.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Elektronik, Automatisation
Senior Data Quality & Automation Engineer
- Ort
- Hamburg
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
