Top Data Engineer Jobs in Malaysia

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

Design, build, and manage Microsoft Fabric data architectures and ETL pipelines. Transform raw data for analytics and AI, optimize models/pipelines for performance and cost, ensure data quality and governance, and support AI teams for RAG/LLM workloads. Document processes and collaborate with stakeholders.

Design, build, and automate ETL/data pipelines to support AI/ML workflows; integrate backend systems and APIs; ensure data governance, security, and compliance; deploy ML models to production; use SQL, Python, Spark, Hadoop, Kafka and cloud data services.

Provide L2 database operations support across incident, request, change and problem management for 24/7 coverage. Install, upgrade, patch, monitor, troubleshoot and ensure availability, backups, access controls and security compliance. Meet SLAs and metrics, develop procedures, build operational reports and dashboards, and leverage AI/agentic solutions to automate workflows and improve IT operations efficiency.

Design, build, and maintain data pipelines and Azure data warehouse infrastructure. Ensure data quality, governance, performance tuning, automation, and provide BI insights using Power BI or QlikSense.

Design, build and maintain ETL pipelines and data workflows, ensure data quality and governance, support cross-functional teams, integrate big-data tools, and automate processes to enable analytics and growth.

Design, build, and maintain scalable ETL and real-time data processing systems on Databricks and AWS. Develop Spark-based pipelines, ensure data quality and governance, implement security controls, automate infrastructure with Terraform, and collaborate with analysts and engineers to resolve issues and optimize performance.

Design, build, and productionize data science solutions and scalable ETL/ELT pipelines. Create self-service BI (Tableau/Power BI/Superset), ensure data integrity across BI platforms, deploy ML models using R/Python, manage CI/CD and workflow tools, and work within Agile/Scrum to prioritize and deliver data products.

Build and maintain cloud-based data pipelines, datamarts and analytics jobs (Databricks/EMR/Spark/SQL) on AWS. Deploy and operate production systems with DevOps practices, support query performance and data quality, extract structured data from unstructured sources, and collaborate with cross-functional teams to deliver scalable data solutions.

Design, build, and optimize end-to-end data pipelines and cloud data platforms. Implement ETL/ELT, ensure data quality, governance, and security, collaborate with architects and stakeholders, and support analytics and AI initiatives within agile, client-facing engagements.

Design, build, and maintain centralized data systems, pipelines, warehouses, and lakes. Implement ETL processes, optimize data flow, produce analytics and reports, support stakeholders, ensure cross-region data security, and create tooling for product and business insights.

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.

Design, operate, and optimize data pipelines and infrastructure to ensure data quality, enable analytics, and support product and engineering teams. Provide operational support, troubleshoot production issues, automate processes, improve governance, and collaborate cross-functionally to maximize data-driven business impact.

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, 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.

Design, build, and maintain scalable ETL/ELT data pipelines and data lake/warehouse solutions using Snowflake or Databricks on Azure. Implement ingestion, transformation, data quality checks, monitoring, and performance optimization. Collaborate with Analytics, Data Science, Product, and Engineering on architecture and data consumption; contribute to governance and CI/CD practices.

The Senior Site Reliability Engineer will enhance data platform reliability on AWS, automating processes and collaborating on incident response and architecture improvements for data services.

Design, implement and support real-time and batch data pipelines using Qlik Replicate. Manage Replicate environments, perform data replication across Oracle/Hadoop/DB2, troubleshoot production issues, and contribute to migration, modernization, and integration initiatives while providing L2/L3 support and collaborating with stakeholders.

Design, develop, test and deploy Spark-based ETL pipelines for the Gold layer using Medallion Architecture. Implement transformations, aggregations and data quality checks; support monitoring, troubleshoot pipelines, collaborate with analysts and engineering teams, follow governance and CI/CD practices, and contribute to documentation and continuous improvement.

Install, maintain, and repair semiconductor equipment while leveraging data analytics and basic AI/ML to monitor equipment health, predict failures, and improve uptime. Perform preventive and corrective maintenance across electrical, vacuum, mechanical, plasma, hydraulic, and gas systems; use dashboards and tooling to identify anomalies, support escalation, document best practices, and collaborate with engineering and digital teams to deploy analytics-driven solutions.

Senior engineering role to design, implement, optimise and support cloud, data, and AI security solutions. Provide SME guidance, build configuration baselines and automation, support BAU operations and incident response, and collaborate with architects and product teams to deliver secure, scalable systems.

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.

Design, build, and maintain reliable ETL pipelines and data infrastructure. Ensure data quality and governance, support cross-functional teams, integrate big-data tools, and use visualization to drive decisions while automating and optimizing workflows.

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 will design scalable data platforms, develop data pipelines, and mentor junior engineers, ensuring data quality and integration from various sources.