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1 день назад

Senior Data Quality & Automation Engineer (Semiconductor)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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