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 - Azure Data Lakes & Pipelines
Build and maintain scalable Azure-based data pipelines and ETL processes to deliver analytics-ready models for business insights.
Data Engineer (Hybrid Role)
The Data Engineer will design, develop, 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 data quality across the organization's data lakehouse.
Junior, Data Engineer
The Junior Data Engineer will develop and maintain ETL/ELT pipelines, manage data lake and warehouse solutions, and ensure data quality for analytics. The role involves working with SQL, Python, Java, or Scala to support data integration and machine learning workflows.
Cloud Data Platform Engineer
The Cloud Data Platform Engineer will maintain, monitor, and scale cloud-based data infrastructure while implementing Infrastructure as Code. The role involves collaborating with architects to set standards and supporting data engineers by troubleshooting platform issues and automating deployment pipelines.
Data Engineer
The Data Engineer will build and maintain ETL/ELT pipelines, manage cloud data platforms, and ensure data quality using Python, SQL, and various cloud data warehouse technologies. The role involves collaborating with cross-functional teams to support both batch and real-time data processing.
AI Data Engineer
Build and maintain scalable data pipelines on Google Cloud to fuel AI systems, focusing on RAG workflows and high-quality data for machine learning models.
Data Engineer
Designs and maintains ETL pipelines, builds dashboards, and analyzes data to support government digital transformation projects using SQL, Python/R, and BI tools.
Data Platform Engineer: Pipelines, Warehouses & ETL
The Data Platform Engineer will design, build, and manage data pipelines, ETL/ELT processes, and data storage solutions like warehouses and data lakes to support business analytics and reporting.
Senior Data Engineer (Microsoft Fabric)
This role involves configuring Microsoft Fabric platforms and building data ingestion and transformation pipelines for clients. The engineer will manage the full delivery lifecycle, including architecture design, governance, and knowledge transfer to client teams.
Data Engineer (MSSQL, SSRS)
Data Engineer responsible for designing, developing, and supporting enterprise SSRS reporting solutions, with additional work on SQL Server database development, SSIS ETL processes, and PowerShell-based automation for a Kuala Lumpur-based team.
Senior Data Engineer
The Senior Data Engineer will design and build a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake. This role involves hands-on data engineering, data modeling, and pipeline development with a focus on SAP and manufacturing domain integration.
Data Engineer (Python) - Immediate
The Data Engineer will design, build, and maintain ETL pipelines, data warehouses, and data lakes to support analytics and ML workflows. The role requires proficiency in Python, SQL, and PowerBI to deliver scalable data solutions for the Oil & Gas sector.
Junior ETL Data Engineer
The Junior ETL Data Engineer will design and implement scalable ETL/ELT workflows, manage data warehouse schemas, and develop automation scripts using Python and Shell. The role involves utilizing Hadoop ecosystem tools and advanced SQL to process large-scale datasets and support analytical requirements.
Data Engineer
The Data Engineer will design, develop, and maintain scalable data processing solutions using Big Data platforms, Python, Spark, and SQL. The role also involves managing Linux environments, supporting DevOps practices, and troubleshooting data workflows.
Data Engineering Senior Manager
Lead a team to design, build, and scale a modern data platform for analytics and AI using cloud tools like BigQuery and Airflow, while ensuring security, governance, and team productivity.
Senior Data Platform Engineer – Lakehouse & Analytics
MetaComp is looking for a Senior Data Engineer to design and scale a modern data lakehouse and analytics platform. The role involves building scalable batch and real-time pipelines to support reporting, analytics, risk, compliance, and AI initiatives.
Senior Data Engineer & Delivery Lead
The Senior Data Engineer & Delivery Lead will design scalable data pipelines, models, and dashboards while leading a team of engineers. The role requires expertise in Python, SQL, and cloud platforms like GCP, alongside experience with tools such as Spark, Airflow, and dbt.