Top Data Engineer Jobs in Malaysia

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 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 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.

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.

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

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

As a Data Warehouse Engineer, you'll build scalable data products, design data models, optimize analytics architecture, and enable self-service analytics for stakeholders.

Design and develop ETL workflows, process Kafka streams, and implement data transformation to generate insights and compliance reports.

The Senior Databricks Data Engineer will manage client engagements, deliver ETL solutions, and improve data processing. Responsibilities include project planning, pipeline design, and collaboration with team members.

Develop, manage, and optimize data pipelines and ETL processes, collaborate with Data Science teams, and ensure data quality standards.

As a Data Scientist, you will analyze data, understand user metrics, shape product development, and collaborate with product and research teams.

As an Associate Data Engineer, you will troubleshoot data issues, support data flows, validate data and assist in documentation while ensuring compliance with data governance standards.

The BI Data Engineer will build data pipelines, develop data models, conduct analyses, and drive BI tool usage across teams.

The Data Engineer will design and implement data pipelines and models, optimize data storage strategies, and ensure data quality while collaborating with machine learning teams.