Top Data Engineer Jobs in Malaysia

Lead the design and execution of data governance strategies, manage projects, ensure data integrity, and drive compliance and automation initiatives.

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

As a Senior Data Engineer, you will build and implement technical solutions, working with Agile teams and various data technologies to enhance data-driven decision making.

The Gen AI Data Engineer I will develop and maintain data engineering solutions, collaborate with teams to implement AI-driven applications, and ensure system reliability and scalability.

As a Data Engineer, you will construct data pipelines, design data solutions, perform data analysis, and collaborate to enhance analytics capabilities.

The role involves interacting with Solana nodes, building data pipelines to ClickHouse, designing dashboards, maintaining data accuracy, and responding to on-chain incidents.

The Data Engineer will design and maintain data pipelines, implement ETL processes, optimize data storage, and collaborate on reporting requirements.

CapTech seeks Data Engineers to develop data pipelines on AWS, Azure, or GCP, collaborating to optimize data architecture solutions.

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 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 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 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.