Data Engineer

About this role

Job ID: J-00341281 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 Engineer who will play a key role in building, scaling, and operationalizing AI‑driven diagnostics, observability, and predictive maintenance solutions. This role goes beyond tooling or automation: you will own the full lifecycle of data and AI solutions that directly impact diagnostic accuracy, MTTR, MTBF, and service efficiency

And you will work at the intersection of machine 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 maintain machine learning and deep learning models for Predictive Maintenance (PdM), Fault Detection & Classification, and root‑cause identification and observability improvement. Own the end‑to‑end model lifecycle, problem definition and data exploration, feature engineering and model development, validation, deployment, monitoring, and retraining. Continuously improve model performance based on field feedback, diagnostic outcomes, and new data availability

Data Engineering & Platform Development Design and implement scalable, cloud‑native data pipelines to ingest, transform, and provision large volumes of structured and unstructured machine data. Work with platforms such as Azure, Databricks, Spark, and Kusto to ensure reliable, performant, and secure data access. Ensure data quality, traceability, and reproducibility for downstream analytics and AI applications

Enable early access to data through proof‑of‑concept pipelines, while ensuring smooth transition to production‑grade solutions Diagnostics Domain Enablement Improve observability through machine data by identifying gaps, d

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