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.

Skills

Ownership, Team Monitoring, retail KPIs, Quality Management, maintaining spreadsheets, Data Pipeline, Production, implement production, Data Documents, Data Engineering, Deep Clean, data quality reporting, Statutory Reporting, Power BI, Data Literacy, Supply & Inventory