Data Engineer (Manufacturing Systems)

Role Purpose

• Build trusted, reusable data pipelines and semantic products that power C-Hawk's ERP intelligence, AI solutions, dashboards, and connected factories.

Key Responsibilities

• Develop ingestion, transformation, and serving pipelines across Epicor ERP, MES, QMS, planning, warehouse, finance, email, and OT sources.
• Build governed semantic models, feature datasets, document/knowledge pipelines, and APIs for Power BI,...

Qualifications & Experience

• Degree in Software, Data, Automation, Computer Science, or Systems Engineering.
• 3–5 years of experience in data engineering or integration engineering, preferably supporting manufacturing operations.
• Strong knowledge of SQL, Python, APIs, ETL/ELT, data modelling, and databases; Epicor/ERP, MES, or QMS experience preferred.
• Knowledge of cloud/on-premise platforms, semantic models, OPC UA/MQTT, cybersecurity, monitoring,...