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A Data Engineer in Ridderkerk builds ETL/ELT pipelines and machine-learning workflows that turn rail fleet data (sensors, inspections, mileage) into predictive-maintenance insights for Dutch public transport companies. Core stack is Python and SQL/NoSQL, plus containerization and an interest in Kubernetes, Airflow, Linux, and AI.
Data Engineer in Ridderkerk (NL) turning sensor, API and database data into reliable predictive-maintenance solutions for public transport rolling stock. Day to day: building ETL/ELT and ML pipelines in collaboration with data scientists and business analysts, in a hybrid work week.
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