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.

Design, build, and maintain data pipelines while collaborating with teams to ensure data quality, compliance, and operational efficiency.

As a Data Engineer, you will design data ingestion pipelines, optimize data platforms, lead technical decisions, and collaborate with data scientists and AI engineers on analytics initiatives.

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.

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.

The Data Engineer will design and implement analytic infrastructures, manage data pipelines, and collaborate with stakeholders to support complex data environments.

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 Web Scraper / Data Engineer will build and maintain automated data pipelines, collect and clean data from various online platforms, and integrate it with backend systems.

As a Data Engineer, you'll manage data at scale, work with analytics-driven solutions, and utilize big data technologies on cloud platforms.

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

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

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 Senior Data Engineer implements and supports technical solutions in the data lake, collaborating with various teams to optimize data models, pipelines, and architecture while applying DevOps practices for efficiency.

The Senior Data Engineer will design and build scalable ETL/ELT solutions using Databricks and Azure. Responsibilities include optimizing data pipelines, implementing Lakehouse architecture, data quality checks, and leading technical guidance for the team.

Lead the development and optimization of data infrastructure, build scalable data pipelines, and enable analytics workflows. Collaborate with data teams to ensure data quality and integrity.

As a Software Engineer in Data Infrastructure, you'll manage data ingestion pipelines, collaborate on cloud infrastructure, and enhance data collection for AI models.

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.

Design and develop interactive data visualizations and UI/UX standards, collaborating with data engineering teams to optimize performance and accessibility.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

Lead the implementation of scalable data quality frameworks while collaborating with engineering teams to ensure data integrity and adherence to governance policies.

The role involves managing and troubleshooting data storage systems, particularly with Dell EMC and Pure Storage technologies, handling disaster recovery, and ensuring storage administration compliance, while being part of a 24x7 on-call support rotation.

Design and develop Hadoop-based big data solutions, optimize data processing, and collaborate with analytics teams while ensuring data security and compliance.

As a Senior Data Engineer, you'll implement data pipeline solutions, manage high-volume data, and collaborate with teams to tackle complex data challenges.