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 entitiesDesign and implement robust data pipelines and automated data quality checksImprove traceability and metadata management so data can be understood, trusted, and reused across teamsHelp establish engineering standards for data handling, testing, monitoring, versioning, and documentationSupport the development of scalable digital twin, analytics, and workflow automation use cases by ensuring data is fit for purposeEvaluate, prototype, and decide when to apply AI/ML vs. rule-based approaches in production data pipelines, balancin...