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.