Data Engineering Jobs in Malaysia
There are 430 open Data Engineering jobs in Malaysia on freehire right now. 170 of them were posted recently. The skills employers ask for most often are analytics, sql and data-pipelines.
Most requested skills
- analytics 61%
- sql 60%
- data-pipelines 54%
- python 51%
- data-engineering 51%
- etl 50%
- cloud 49%
- data-quality 42%
How the work is done
- Hybrid 28 · 7%
- Onsite 9 · 2%
- Remote 6 · 1%
Visa sponsorship offered in 23% of the 13 postings that state a position on it.
Seniority
- Senior 172
- Lead 51
- Junior 7
- Middle 4
- Intern 3
- Principal 3
Who is hiring
- 1000+ employees 73
- 501-1000 employees 16
- 51-200 employees 13
- 11-50 employees 5
- 201-500 employees 2
Senior Data Engineer — Build Scalable Cloud Pipelines
Senior Data Engineer at Ørsted Asia Pacific building and maintaining production-grade data ingestion pipelines, ensuring high-performance data delivery for analysts and ML models, while advancing data platform governance and pipeline orchestration.
Data Engineer
The Data Engineer will build and maintain scalable data pipelines and storage solutions to support analytics and business intelligence. The role involves working with Python, SQL, and Azure-based data platforms within a global, cross-functional team.
Senior Data Engineer: Cloud Pipelines & Platform
The Senior Data Engineer will build and maintain scalable data ingestion pipelines and platform capabilities using Spark, SQL, and Python within a cloud environment. The role involves collaborating with cross-functional teams to support data governance and security initiatives.
Senior Data Engineer
The Senior Data Engineer will develop and maintain cloud-based data ingestion pipelines and platform solutions to support data-driven decision-making across the organization. The role involves working with Python, SQL, Spark, and various cloud and container technologies to ensure data stability and performance.
Data Engineer: Data Architecture & Warehousing
The Data Engineer will design, build, and manage data infrastructure to support data-driven decision-making. The role involves integrating data systems using Python, Java, or Scala.
Data Platform Engineer: Lakehouse, AI/ML Pipelines
The Data Platform Engineer will design and maintain a central data platform to support analytics and AI/ML initiatives. The role involves building scalable data pipelines and integrating batch and streaming processes using technologies like Delta Lake, Spark, and Snowflake.
Data Engineer - Lakehouse & AI Pipelines
The Data Engineer will design, build, and maintain a central data platform to support analytics and AI/ML initiatives. The role involves developing data pipelines using Apache Spark, Snowflake, and Databricks while ensuring data quality and security.
Senior Data Engineer
The Senior Data Engineer will develop and maintain production-grade data ingestion pipelines within a cloud-based ecosystem to support data-driven decision-making. The role involves working with Python, SQL, Spark, and various cloud and container technologies to build and optimize data platforms.
Data Engineer: Build Scalable Pipelines & Analytics
Data Engineer building and maintaining scalable data pipelines, data integration, and storage design for analytics and BI solutions across a global IT footprint using Python, PySpark, SQL, and Power BI.
Senior Data Platform Engineer: Python, Databricks & Azure
The Senior Data Platform Engineer will design and develop scalable data pipelines and REST APIs for an automotive client using Python, Databricks, and Azure. The role involves optimizing SQL models and mentoring junior team members.
Senior Data Engineer: Tableau, SQL & Data Visualization
The Analytics Lead will drive data-driven decision-making by creating dashboards and visualizations using SQL and Tableau. The role involves collaborating with finance and IT teams to translate business requirements into actionable insights.
Data Engineer - Onsite Contract (GCP, Airflow)
The Data Engineer will build and optimize scalable ETL/ELT pipelines using GCP, Airflow, and Kubernetes to support enterprise data and analytics initiatives.
Senior Data Engineer
The Senior Data Engineer will develop and maintain data ingestion pipelines, ensure data platform security and performance, and manage monitoring and orchestration. The role involves collaborating with stakeholders to support data governance and resolve engineering challenges.
Lead Data Engineer - AI-Driven Climate Data Platform
The Lead Data Engineer will design and maintain scalable data pipelines and systems to support an AI-driven climate data platform, while mentoring a team of data engineers.
Global Data Engineering Capability Lead
The Global Data Engineering Capability Lead defines architecture and standards for the company's global Azure and Databricks platform. This role involves mentoring engineers and building scalable data pipelines to support analytics, AI, and digital products.
Senior Data Engineer & Tech Lead, Real-Time Data Lakes
Senior Data Engineer & Tech Lead at Hong Leong Bank designing and implementing ETL/ELT pipelines into data lakes using Informatica, SQL, and real-time data ingestion technologies, while leading cross-functional teams.
Senior Data Engineer
Build and optimize cloud ETL pipelines (AWS Glue/PySpark) and legacy integrations (IBM DataStage, SAS, SAP) to power machine learning and analytics at a data-driven company.