DATA Engineer

Key Responsibilities

· Build and maintain reliable data pipelines for manufacturing and business reporting.

· Connect data from ERP, production, quality, inventory and other operational sources.

· Clean, structure and validate data so teams can trust operational dashboards and analysis.

· Develop practical data models for production, OTD, quality, inventory and productivity KPIs.

· Automate recurring data preparation and reduce manual spreadsheet consolidation.

· Support Power BI datasets, dashboards and governed reporting where required.

· Monitor data quality and resolve missing, duplicated or inconsistent records.

· Document data sources, definitions, transformations and ownership clearly.

· Work with Production, Quality, Materials and Management to translate operational needs into data solutions.

· Apply appropriate access controls, backup and data-governance practices.

· Continuously improve reporting speed, accuracy and decision visibility.

Job Requirements

· Diploma or equivalent qualification in a relevant technical field is acceptable; demonstrated data skills are the priority.

· Minimum 3 years of experience in data engineering, BI, analytics engineering or related work.

· Hands-on SQL capability plus experience with Power Query or comparable data-transformation tools.

· Experience with Power BI and structured data models is strongly preferred.

· Manufacturing/ERP data experience and ability to communicate with operational users are advantages.