Top Data Engineer Jobs in Malaysia

Provide L2 support for database operations, ensuring high availability, compliance and quality service. Manage incidents, monitor performance, and build reports.

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 optimise scalable cloud data pipelines and transformations; ensure data quality, lineage and reconciliation; support large-scale migrations (profiling, mappings, cleansing); collaborate with business and technical stakeholders; contribute to data architecture and migration frameworks.

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.

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

Design, build, and optimize data pipelines in Snowflake and cloud environments while collaborating with stakeholders to drive analytics solutions across Southeast Asia and APAC.

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.

Assist in transforming data for analysis by developing structured data sets and models. Support ETL process and data migrations.

Design, maintain, and optimize Power BI reports and data pipelines. Build SQL views/queries, improve Python ETL scripts integrating SAP, Salesforce, ServiceMax, SFTP and MES, troubleshoot refresh/gateway issues, document logic, and collaborate with stakeholders to deliver analytics solutions.

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.

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.

Manage and optimize data pipelines, troubleshoot issues, and provide ongoing support for the Group Application Data Platform in alignment with business requirements.

As a Power Backend Engineer, you will develop data scrapers, enhance product features, optimize API performance, and collaborate with the product team on future development plans.

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 Data Engineer will manage database design, ETL development, T-SQL programming, and optimize performance across SQL Server environments while supporting data integrity and migrations.

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, deploy, and maintain scalable ML systems and productionized models. Own end-to-end ML workflows using MLOps practices, collaborate cross-functionally, mentor peers, and drive ML engineering best practices and strategic initiatives.

Design and implement data architecture and secure integration patterns to move insurance, reinsurance, and investment feeds into and out of Oracle Fusion Financials (including AHCS). Lead data migration, testing (SIT/NFT), quarterly upgrades, data governance, and collaborate with cross-functional and cross-geo teams to ensure data integrity, security, and performance for IFRS 17 and consolidation processes.

Provide day-to-day operational support for Back End (BE) Operations and ATO governance, maintain and enhance governance databases, produce reports and dashboards, perform data analysis, coordinate cross-site stakeholders, execute improvement actions, and support process consistency and continuous improvement across BE sites.

The Site Reliability Engineer III will enhance reliability and scalability of the data platform services, manage big data tools, support on-call responses, contribute to automation, and optimize cloud infrastructure on AWS.

The Mechanical Engineer will maintain mechanical systems in a data centre, conduct inspections, troubleshoot performance issues, and ensure compliance with safety standards.

The Electrical Engineer manages operations and maintenance of electrical systems in data centres, ensuring reliable power supply and critical infrastructure functionality.

Lead design and specification of mechanical systems (air-conditioning, ventilation, fire protection) for data centres; prepare calculations, documentation and drawings; review contractor submissions; provide project management, construction supervision, site inspections, testing and commissioning; and coordinate with clients and multidisciplinary teams.

The role involves data collection for model training operations, managing and extending the ingestion pipeline on cloud infrastructure, and collaborating with the AI team to enhance data quality and scale.

Support and optimize large-scale Spark/YARN jobs and storage (S3/EMR). Build job-profiling, cost-analysis, AI-assisted automation, monitoring/alerting (Prometheus, Flink/Spark), and internal ops tooling to improve stability and reduce costs.