Top Data Engineer Jobs in Malaysia

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

The Senior Data Engineer will develop scalable data infrastructure and pipelines, optimize data processing, and collaborate with teams on backend systems.

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 and models, ensuring data quality and accessibility for business decisions.

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

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.

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

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.

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.

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.

As a Data Engineer, you will design and maintain scalable data pipelines, ensure data quality, and collaborate with teams for analytics and reporting.

This Data Engineer role involves building and maintaining data pipelines, ensuring data quality, model design, and supporting AI data preparation in an enterprise data platform environment.

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

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

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

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

Lead technical delivery of data engineering initiatives, design data architectures, build cloud-native pipelines, and provide leadership to a small engineering team.

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.

As a Software Engineer for Data Infrastructure & Acquisition, you will manage data collection and enhance the ingestion pipeline to support AI model training operations for Speechify's products.

Design, build, and optimize scalable data pipelines and Lakehouse architectures; automate ETL and data workflows; mentor junior engineers; collaborate with data scientists and stakeholders; ensure data quality, security, and accessibility to power analytics and AI initiatives across APAC.