Top Data Engineer Jobs in Malaysia

The Data Engineer will develop data pipelines and products on cloud platforms, advise clients on technology, and ensure optimal data architecture.

Responsible for designing and developing scalable data pipelines and platforms, collaborating with stakeholders, and ensuring data quality and compliance.

Data Engineers at Rhombus develop and maintain data infrastructure, automate processes, and collaborate with teams to support national security insights.

The Data Engineer will build data pipelines for measuring advertising effectiveness, working with large data sets and collaborating with Data Scientists.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.

As a Senior Lead Data Engineer, you'll design, develop, and support solutions, lead teams, and drive cloud-based data transformations.

As a Data Science Platform Engineer, you will build frameworks for predictive models, expand NLP analysis, and develop Java applications, while collaborating with the data science team.

The Data Analytics Engineer II will build and maintain data pipelines, validate data consistency, and ensure user privacy in a healthcare setting.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Staff Data Engineer will define the technical strategy for enterprise data systems, build and optimize data pipelines, and provide architectural leadership while mentoring teams and ensuring data excellence.

The Staff Data Engineer will build and manage a data lake, optimize data pipelines, collaborate with teams, and support AI projects while ensuring quality data solutions.

The Senior Data Engineer will manage data infrastructure, optimize data pipelines, ensure data quality, and support data-driven decision-making through collaborative work across teams.

As a Cloud Data Engineer, you will develop and maintain data pipelines using Microsoft Azure or Snowflake, collaborating with analysts and architects to ensure efficient data flow and insights. Responsibilities include designing data solutions, ensuring data security, and troubleshooting data workflows.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

As a Data Engineer, you will design and maintain data pipelines, conduct data analyses, and collaborate with teams to derive actionable insights from healthcare data.

Design and build data pipelines for loading and transforming data for consumer use, focusing on BigQuery and automation.

The position focuses on cloud cost optimization, monitoring, and financial governance, ensuring efficient management of cloud resources while promoting cost-conscious practices across teams.

As a Senior Data Platform Engineer, you will develop tools for data quality checks, enhance data lineage framework, and improve data infrastructure performance.

The Data Engineer Intern will combine data sources, optimize data delivery, create data models, and perform automated testing to assist internal stakeholders with data-driven insights.

As a Senior Data Engineer at Hinge, you'll develop essential data processes, build and maintain data pipelines, and support data-driven decision-making within the Trust and Safety team.

The Senior Data Engineer II will design, build, and maintain a data LakeHouse platform, focusing on data pipelines, modeling, and AWS infrastructure development.

As a Senior Data Engineer, collaborate to design, develop, and support data solutions, utilizing various programming and big data technologies in an Agile environment.

As a Senior Data Analytics Engineer, you will design data models, collaborate across teams, improve data infrastructure, mentor others, and lead complex analytics projects to drive business outcomes.

The Data Engineer II will develop data solutions for product modernization, manage complex data, and ensure quality, governance, and security of data products.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.