Data Engineer

Editx; Geel; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Editx in Belgium seeks a data & AI specialist to collect and process production data from historians, MES, and sensors. You will build robust data pipelines and analytical models using Python and SQL to drive operational value.

You'll design ML models for predictive maintenance and anomaly detection and implement LLM-based applications for document processing, while ensuring GMP-compliant documentation and cross-functional collaboration across teams.

Qualifications

• Proficient in Python and SQL for data pipelines and models.
• Experience designing ML models for predictive maintenance and anomaly detection.
• Experience implementing LLM-based applications for document processing.
• Familiarity with GMP compliance in documentation.

Responsabilités

• Collect and process production data from historians, MES systems and sensors.
• Develop robust data pipelines and analytical models using Python and SQL.
• Design and implement ML models for predictive maintenance and anomaly detection.
• Implement LLM applications for document processing and knowledge extraction.
• Collaborate with cross-functional teams to translate digital solutions into operational value.
• Document methodologies and results in compliance with GMP requirements.

Connaissances

Python

SQL

Machine Learning

Data Pipelines

Outils

MES systems

Process historians

Sensors

LLM applications

Description du poste

Responsibilities

• Collect and process production data from sources such as process historians, MES systems, and sensors.
• Develop robust data pipelines and analytical models using Python and SQL.
• Design and implement Machine Learning models for predictive maintenance and anomaly detection.
• Implement Large Language Model (LLM) applications for document processing and knowledge extraction.
• Collaborate with cross-functional teams to translate digital solutions into operational value.
• Document methodologies and results in compliance with GMP requirements.