Data Engineer at ASML in Shanghai, Shanghai, China

Data Engineer Location: Shanghai, China Introduction to the job ASML Customer Support (CS) Diagnostics is at the core of ASML’s ambition to significantly reduce diagnostic labor hours, improve system availability, and enable predictive and self‑healing service capabilities towards 2030. The Data Engineering Engineerwho will play a key role in building, scaling, and operationalizingAI‑driven diagnostics, observability, and predictive maintenance solutions. This role goes beyond tooling or automation: you willown the full lifecycle of data and AI solutionsthat directly impact diagnostic accuracy, MTTR, MTBF, and service efficiency. And you will work at the intersection ofmachine data, diagnostics domain knowledge, and advanced analytics, collaborating closely with CS Diagnostics, Field, D&E, and central platform teams Role and responsibilities AI, Analytics & Model Ownership Design, develop, deploy, and maintainmachine learning and deep learning modelsfor Predictive Maintenance (PdM), Fault Detection & Classification, and root‑cause identification and observability improvement. Own theend‑to‑end model lifecycle, problem definition and data exploration, feature engineering and model development, validation, deployment, monitoring, and retraining. Continuously improve model performance based onfield feedback, diagnostic outcomes, and new data availability. Data Engineering & Platform Development Design and implementscalable, cloud‑native data pipelinesto ingest, transform, and provision large volumes of structured and unstructured machine data. Work with platforms such asAzure, Databricks, Spark, and Kustoto ensure reliable, performant, and secure data access. Ensure data quality, traceability, and reproducibility for downstream analytics and AI applications. Enable early access to data throughproof‑of‑concept pipelines, while ensuring smooth transition to production‑grade solutions Diagnostics Domain Enablement Improveobservability through machine databy identifying gaps, defining required signals, and translating diagnostic needs into data and model requirements. Identifystructural improvements in diagnostic services, including processes, methods, and analytical approaches. Closely collaborate with diagnostics experts to ensure solutions areactionable, interpretable, and embedded in diagnostic workflows. Standards, Governance & Stakeholder Collaboration Define and follow standards, policies, and protocolsfor data, models, and analytics solutions. Ensure solutions arecompliant, manageable, scalable, and secure, in line with ASML requirements. Translate technical outcomes intomeasurable service impact(e.g. MTTR reduction, labor hour savings, improved hit rates). Communicate results, insights, and recommendations tosenior stakeholders and leadership. Provide guidance and knowledge sharing to colleagues and stakeholders where needed. Education, Experience and Skill Master’s degreein Data Science, Computer Science, Engineering, Applied Mathematics, or a related field. 5+ years of relevant experiencein data science, data engineering, or advanced analytics roles. Strong proficiency inPythonand experience with analytical and ML libraries. Scripting skill such asPERL, Bash, Power Shell Proven experience developing and deploying machine learning / deep learning models in production environments. Strong experience withcloud‑based data platforms(Azure preferred), including Databricks, Spark, SQL / Kusto. Experience with SQL ETL processes. Solid understanding ofstatistics, data analysis, SPC/FDC concepts, and analytical problem solving. Experience working withlarge‑scale, high‑frequency data streams Other information Preferred Qualifications: Experience with diagnostics, manufacturing, equipment data, or industrial systems. Familiarity with ASML machine data and CS diagnostics workflows. Experience improving observability, fault detection, or predictive maintenance in complex systems. Experience working with business stakeholders and explaining technical results to non-technical audiences. Experience training others and creating technical documentation or user manuals. This position requires access to controlled technology, as defined in theUnited StatesExport Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions.