Data Engineering Jobs in Malaysia
There are 429 open Data Engineering jobs in Malaysia on freehire right now. 169 of them were posted recently. The skills employers ask for most often are analytics, sql and data-pipelines.
Most requested skills
- analytics 61%
- sql 59%
- data-pipelines 54%
- data-engineering 51%
- python 51%
- etl 50%
- cloud 49%
- data-quality 42%
How the work is done
- Hybrid 28 · 7%
- Onsite 9 · 2%
- Remote 5 · 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 72
- 501-1000 employees 16
- 51-200 employees 13
- 11-50 employees 5
- 201-500 employees 2
Senior Data Engineer
The Senior Data Engineer will lead a team in developing scalable data pipelines, managing data warehouses, and building data APIs using cloud platforms like GCP, AWS, or Azure. The role involves technical leadership, stakeholder management, and implementing data governance and transformation logic for AI-driven projects.
Data Engineer Autonomous Driving (m/f/x)
The Data Engineer will develop and maintain scalable data pipelines and ETL processes to support autonomous driving AI applications. The role involves working with cloud platforms like Azure, AWS, or Palantir and collaborating with interdisciplinary teams to deliver data-driven software solutions.
Data Engineer for Autonomous Driving AI Pipelines
The Data Engineer will develop scalable data products and build ETL pipelines to support autonomous driving AI solutions within an interdisciplinary engineering environment.
Azure Data Engineer for AI Analytics — Hybrid KL
Design and operate Azure-based ELT pipelines to build trusted datasets for AI analytics in a regulated professional services environment.
Senior Data Engineer — Azure Synapse & Lakehouse
Designs and optimizes enterprise data pipelines and analytics platforms for ERP, financial, manufacturing, and supply chain systems using Azure Synapse, Microsoft Fabric, and PySpark to transform raw data into actionable business insights.
Data Engineer
The Data Engineer will build and maintain reliable ELT pipelines and data models within an Azure-based environment to support analytics and AI products. The role involves working in a cross-functional squad to ensure high-quality, governed data integration across the company's professional services subsidiaries.
Senior Data Engineering Executive
Senior data engineering leader building enterprise data pipelines and analytics platforms using the Microsoft Fabric/Azure stack (Synapse, Data Factory, SQL, Python, PySpark) to drive digital transformation for a large agro-food corporation.
Data Platform & Engineering Manager — AI-Driven Analytics
The Data Platform & Engineering Manager will lead a team to build and maintain scalable data pipelines and ensure robust data governance for Mewah Group. This role focuses on enabling enterprise-wide analytics and AI initiatives through strategic platform development.
Data Governance & DLP Engineer
Lead data governance and DLP for Microsoft 365 E5 and Netskope SSE, classifying data and tuning controls to ensure compliance and audit readiness.
Azure Databricks & Data Platform Ops Engineer
Maintains and optimizes Lenovo’s Azure-based Databricks data platform, ensuring reliable pipelines and scalable BI/analytics solutions.
Data Engineer
Build and maintain Mettler-Toledo’s central data platform using Databricks, Snowflake, and Python to power analytics and AI across the company.
Senior Data Platform Engineer - Azure Databricks & Governance
Designs and governs an enterprise data platform using Databricks, Unity Catalog, and Delta Lake, focusing on data ingestion, modeling, and pipeline development with Spark.
Senior Data Engineer: Azure Synapse & Databricks Expert
Designs and maintains ETL pipelines and data lakehouse architectures using Azure Synapse and Databricks to support analytics and business needs.
Senior Data Engineer
The Senior Data Engineer will design and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure high data quality across the organization.
Data Platform Engineer — AI/ML & Lakehouse
Designs and maintains a scalable data platform for analytics, AI/ML, and data distribution, ensuring quality, security, and cross-functional collaboration with data scientists and business teams.
Senior Data Engineer
Designs and builds a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains.
Data Governance & DLP Engineer
The Data Governance & DLP Engineer will manage data governance and security programs using Microsoft 365 E5 and Netskope SSE. Responsibilities include classifying enterprise data, implementing DLP controls, investigating data leaks, and supporting GRC activities.