Senior Data Quality & Automation Engineer (Semiconductor)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Quality & Automation Engineer (Semiconductor): Building and optimizing reliable, scalable data foundations for R&D with an accent on data traceability, metadata management, and automated quality validation. Focus on designing robust pipelines, establishing engineering standards for data handling, and integrating AI/ML or rule-based approaches to support digital twin and analytics use cases.
Location: Hamburg (Onsite)
Company
is a global semiconductor manufacturer focused on high-volume production of essential components.
What you will do
- 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 to ensure data is trusted and reusable.
- Establish engineering standards for data handling, testing, monitoring, and versioning.
- Support the development of scalable digital twin and analytics use cases.
- Evaluate and prototype AI/ML versus rule-based approaches for production pipelines.
Requirements
- University degree in Computer Science, Engineering, Physics, Chemistry, or a related field.
- Relevant professional experience in building production-grade systems (3-8 years).
- Strong experience in data engineering, backend, and software engineering.
- Hands-on skills in Python, SQL, APIs, and data pipelines.
- Strong communication skills in English and German.
- Ability to work in ambiguous environments with legacy systems.
Nice to have
- Experience with semiconductor, manufacturing, lab, metrology, or scientific data.
- Experience implementing AI/ML pipelines in real production environments.
Culture & Benefits
- Work on real-world, complex data challenges in semiconductor engineering.
- Opportunity to build data-driven and digital twin solutions at scale.
- Collaborative, international environment with a strong engineering focus.
- Commitment to diversity and inclusion with active employee resource groups.
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