Top Data Engineer Jobs in Malaysia

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.

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.

Design, build, deploy, and maintain scalable ML systems and productionized models. Own end-to-end ML workflows using MLOps practices, collaborate cross-functionally, mentor peers, and drive ML engineering best practices and strategic initiatives.

The Data Engineer designs and maintains data pipelines, supports operational functions, and collaborates with teams to optimize data availability and quality for analytical purposes.

Design, build, and operate Azure infrastructure and data platforms, focusing on security, performance, and analytics for AI/ML workloads.

Design, build, and optimize data pipelines, warehouses, datamarts, and dimensional models on AWS. Develop schemas and SQL, tune queries and performance, resolve data quality issues, and provide operational support including CI/CD, monitoring, incident response, and database administration to enable data-driven decision making.

The Data Migration Developer will plan, develop, and execute data migration activities while ensuring data accuracy and compliance in a financial services environment.

The Data Engineer will develop and optimize SQL queries, manage relational databases, ensure data accuracy, collaborate with stakeholders, and document processes.

Design, build, and optimize data pipelines in Snowflake and cloud environments while collaborating with stakeholders to drive analytics solutions across Southeast Asia and APAC.

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

The Sr IT Engineer provides L2 support for database operations, ensuring system availability, managing incidents, and improving monitoring and reporting processes.

The Senior Data Engineer will develop and maintain a Data Management Platform, ensuring its stability and compliance while leading a project team in delivering data solutions and optimizing processes.

The Data Engineer will design, build, and maintain data systems, pipelines, and architectures, ensuring data quality and collaborating with stakeholders for effective data management.

Provide L2 support for database operations, ensuring high availability, compliance and quality service. Manage incidents, monitor performance, and build reports.

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

Manage and optimize data pipelines, troubleshoot issues, and provide ongoing support for the Group Application Data Platform in alignment with business requirements.

The Data Engineer will design, develop, and maintain data pipelines and platforms, ensuring data quality and system performance while providing operational support and collaborating with teams.

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 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 role involves managing data collection for AI model training, extending cloud infrastructure, and collaborating with scientists to enhance dataset quality and efficiency.

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.

Own and maintain analytics instrumentation and data pipelines using Segment, ensuring reliable event tracking to Mixpanel, GA4 and AppsFlyer. Use Terraform for version-controlled analytics infrastructure, monitor and audit data quality, maintain schema documentation, translate business needs into tracking, and configure mobile/web attribution and deep-linking.

The EHS Engineer will implement safety policies, conduct inspections, support permit activities, and ensure compliance within data centre operations.

Provide day-to-day operational support for Back End (BE) Operations and ATO governance, maintain and enhance governance databases, produce reports and dashboards, perform data analysis, coordinate cross-site stakeholders, execute improvement actions, and support process consistency and continuous improvement across BE sites.