Top Data Engineer Jobs in Malaysia

The Electrical Engineer manages operations and maintenance of electrical systems in data centres, ensuring reliable power supply and critical infrastructure functionality.

The role involves designing, developing, and maintaining Power BI solutions, transforming data into actionable insights, and collaborating with stakeholders to ensure data accuracy and effective reporting.

The role involves leading mechanical systems design for data centres, preparing documentation, project management support, conducting site inspections, and ensuring compliance with design standards.

Act as a bridge between business stakeholders and IT teams by analyzing and translating business needs into technical requirements, managing backlogs, facilitating UAT, and recommending system enhancements.

The Staff Engineer in Data Science is responsible for developing predictive models for inventory optimization, collaborating with teams to solve challenges, analyzing datasets, and maintaining dashboards for supply chain efficiency.

Design and build scalable data platform services in cloud-native environments, ensuring reliability and performance while supporting analytics and decision-making across teams.

The role involves data analytics for QA in semiconductor processes, designing data pipelines, developing predictive models, and collaborating on AI applications.

The role involves data collection for model training operations, managing and extending the ingestion pipeline on cloud infrastructure, and collaborating with the AI team to enhance data quality and scale.

The Senior Data Engineer will develop and maintain data pipelines, integrate and model data, implement advanced analytics, and manage Power BI solutions to support data-driven decision-making in a collaborative environment.

The Senior Data Engineer will design scalable data platforms, develop data pipelines, and mentor junior engineers, ensuring data quality and integration from various sources.

This role involves managing material data within PLM/ERP systems, developing ETL pipelines, analyzing component data, and building dashboards for decision-making.