Top Data Engineer Jobs in Malaysia

As a Data Engineer, you'll design and operate scalable data pipelines, ensuring data quality and integration from various sources for BI analytics, managing data models and governance practices.

As a Data Engineer Intern, you will collaborate with the team on UAT, document issues, support BRD creation, and utilize SQL for data accuracy.

As a Data Engineering Intern, you will support platform capabilities by extending the Python/Go backend for Airflow and Spark, modify applications, and follow best practices for system stability.

The Data Engineer will design and maintain data pipelines, develop models, migrate infrastructure to cloud, and collaborate with teams for data solutions.

The Data Engineer will design and maintain ETL pipelines, optimize data workflows using Azure Databricks, and develop data models for Power BI to enable data-driven decision-making.

The Data Engineer develops and maintains data products, pipelines, and SQL queries, operates data tools on AWS and Databricks, and collaborates in agile delivery. Responsibilities include monitoring system health, supporting users, and implementing data engineering best practices.

The Data Engineer will manage database design, ETL development, T-SQL programming, and optimize performance across SQL Server environments while supporting data integrity and migrations.

The IT Data Engineer will work with cross-functional teams to enhance data management, develop tools for data analytics, and ensure robust data processes and integrity.

Manage the data lifecycle, drive the data platform roadmap, establish best practices in analytics, reporting, and data governance while overseeing a team of engineers and analysts.

Assist in transforming data for analysis by developing structured data sets and models. Support ETL process and data migrations.

Join the Data Solutions team as a Junior Data Scientist, developing technical solutions and enhancing your data skills through collaboration and communication with stakeholders.

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.

Develop and maintain scalable data pipelines, optimize data architectures, and support analytics teams by collaborating with stakeholders to enhance data accessibility and decision-making.

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.

The Data Centre NOC Engineer oversees network operations, monitors systems, troubleshoots issues, manages incidents, performs maintenance, and collaborates with IT teams. Key responsibilities include network performance monitoring, documentation, and security oversight while supporting 24/7 operations.

The Data Centre NOC Engineer is responsible for overseeing network management, monitoring systems, troubleshooting incidents, and performing network maintenance in a data centre environment, while ensuring security and optimizing performance.

The Senior Data Engineer designs and supports scalable data solutions, mentors team members, and drives operational excellence in data services across the APAC region.

Responsible for designing, developing, and implementing data pipelines and integration processes, ensuring data quality, and providing BAU support for data issues.

Join ZALORA's Data Science Team as a Senior Data Engineer, focusing on machine learning, data processing, and working with diverse teams. Requires 7+ years of experience in big data and analysis.

Design and maintain data pipelines, architecture, and quality; lead technical projects and teams, ensuring efficient data management and governance.