Top Data Engineer Jobs in Malaysia

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.

The Associate Data Engineer supports data transformation into structured formats, develops ETL packages, and assists with data analysis and documentation.

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 Regional Technical Data Engineer provides first-line support on technical data for customers, ensures efficient use, organizes workshops, and facilitates communication and feedback for continuous improvement.

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

As a Data Engineer, you'll enhance database infrastructure, design and maintain databases, implement data models, and manage database performance and security.

Design and maintain data pipelines, perform ETL processes, and ensure data quality. Collaborate with analysts and optimize storage solutions.

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 Data Engineer/Senior Data Engineer will design, develop, test, and deploy data management features, ensuring quality and scalability while collaborating with teams.

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.

As a Data Engineer, you'll implement data processing systems using tools like Spark and Hadoop, manage high volume data, and collaborate to provide insights.

The Data Engineer will design, develop, and maintain data pipelines and architectures to support analytics, reporting, and machine learning initiatives while ensuring efficient data flow across the organization.

Build and operate scalable, fault-tolerant data pipelines and storage (warehouses/lakes); ingest diverse sources; ensure data quality, monitoring, governance, and deliver production-ready datasets for analytics and downstream systems.

Assist in building scalable data pipelines and collaborate with data teams to deliver datasets. Learn cloud technologies and maintain data governance.

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 Data Engineer will design and maintain data pipelines and models, ensuring data quality and accessibility for business decisions.

This role involves providing high-quality datasets, designing ETL pipelines, collaborating with teams, and driving innovation in data engineering.

The Data Centre NOC Engineer oversees network operations, performs troubleshooting, monitors network performance, manages incidents, and collaborates with IT teams for efficient service delivery.

Design, build, and optimize data pipelines using Azure and Microsoft Fabric. Collaborate with stakeholders for data transformation and governance solutions.

The Data Engineer II will create scalable data pipelines, optimize multi-cloud infrastructure, and collaborate with data science teams on various data projects.

The Senior Data Engineer will design and optimize data pipelines, mentor junior engineers, and collaborate with stakeholders to develop scalable engineering solutions.

The Senior Data Engineer leads the design and implementation of data systems and oversees data pipelines while collaborating with various stakeholders.

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

The Senior Data Engineer will provide production support for data platforms, troubleshoot technical issues, and collaborate with a global engineering team on compliance for expanding markets.

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