Top Data Engineer Jobs in Malaysia

The Data Engineer II will collaborate on projects related to customer experience, develop tools for business initiatives, and ensure data security and accuracy.

The Technology Specialist - Data Engineer will focus on data integration, pipeline creation, data governance, and providing insights using BI tools, particularly Power BI. They will ensure optimal data quality, performance tuning, and automation in Azure environments, while also contributing to infrastructure management and DevOps practices.

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

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.

The Data Engineer designs and builds scalable data pipelines, ensuring data quality and accessibility while collaborating with stakeholders to translate business needs into technical solutions.

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 Senior Data Engineer will design and maintain scalable data pipelines, optimize data storage, and ensure data quality while collaborating with cross-functional teams.

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.

As a Data Engineer, you will design, build, and maintain data pipelines, manage data models, and ensure data quality for analytics. You will collaborate with various teams to support self-service analytics and implement robust data governance practices.

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

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

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.

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 role involves configuring and supporting Salesforce Marketing Cloud and Data 360 for audience segmentation, data ingestion, and campaign activation while troubleshooting complex data issues and maintaining documentation.

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.

The IT Engineer (Data Services) will provide L2 support for database operations, manage incidents, and ensure SLA compliance while diagnosing and resolving database errors.

The IT Engineer (Data Services) provides L2 support for database operations, ensuring SLA compliance, managing database systems, and developing operational procedures.

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.

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.

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.