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
SSRS Data Engineer - Reports & ETL Specialist
The Data Engineer will design, develop, and maintain enterprise reporting solutions and ETL processes using Microsoft SQL Server and SSRS. The role involves collaborating with business users to ensure the accuracy and performance of operational and analytical reports.
Senior Data Engineer: Lakehouse & Data Warehouse Lead
The Senior Data Engineer will manage and optimize data infrastructure using MS SQL Server, PostgreSQL, and DuckDB. The role involves designing data ingestion pipelines from SAP ECC6, orchestrating workflows, and implementing lakehouse architectures to support analytics.
Data Engineer (SSRS)
The Data Engineer designs, develops, and maintains enterprise reporting solutions using SQL Server Reporting Services (SSRS) and supports SQL Server database development and ETL processes.
Senior Data Engineer
The Senior Data Engineer designs and implements end-to-end ETL/ELT pipelines and data lake architectures within a financial services environment. The role involves leading complex data projects, optimizing database performance, and ensuring data quality using tools like Informatica, Kafka, and advanced SQL.
Manager, Data Engineer
Data Engineer Manager owning the full data lifecycle—ingestion, modeling, governance, quality, security—at Pixlr Group, building pipelines and managing a small team using SQL, Python, and modern cloud data platforms like Snowflake or BigQuery.
Senior Data Engineer: Cloud ETL & ML Pipelines
The Senior Data Engineer will modernize and scale data infrastructure by building pipelines using IBM DataStage, SAS, SAP, and AWS Glue. The role involves designing data pipelines and feature stores to support ML and analytics initiatives while optimizing SQL performance.
Senior Data Engineer - Own AI-Powered Analytics Platform
Rapsodo is hiring a Senior Data Engineer to manage their cloud data platform, BI workflows, and data warehouse. The role involves building AI-powered agents and pipelines to provide actionable insights for various internal departments and customers.
Senior Data Engineer: Own AI-Driven Analytics Platform
The Senior Data Engineer will design and maintain a cloud-based analytics platform and data pipelines to support AI applications and product insights. The role involves leading data ingestion projects, optimizing costs, and collaborating across teams to deliver scalable data solutions.
Contract Data Engineer: ETL & Data Lakes in the Cloud
The Data Engineer will design, build, and maintain ETL pipelines, data warehouses, and data lakes to support analytics and data-driven decision-making within an Oil & Gas context. This is a 6-12 month contract role requiring experience with cloud data platforms.
Senior Data Platform Engineer — Lakehouse & Analytics
The Senior Data Platform Engineer will design and manage an enterprise data platform using Microsoft Fabric to support analytics, AI, and BI initiatives. The role involves building data pipelines, ensuring data quality, and mentoring team members.
Cloud Data Engineer – ETL/ELT, Snowflake & BigQuery
The Cloud Data Engineer will build and maintain ETL/ELT pipelines and develop data transformations using Python and SQL. The role involves supporting batch and real-time data processing across cloud platforms like Snowflake, AWS, Azure, or Google Cloud.
Data Engineer: Growth & Analytics Architect
Build data pipelines, models, and analytics solutions to optimize data quality and insights for a Malaysian financial services company using Python, Databricks, and Spark.
Assistant Manager-Senior Executive Data Engineering
Design, build and operate an enterprise Lakehouse data platform on Microsoft Fabric, developing ETL/ELT pipelines and data ingestion from ERP, manufacturing and supply chain systems for a large Malaysian agrofood group.
Data Engineer: SSRS & SQL Reporting Expert
Designs and maintains enterprise reporting solutions using SSRS and SQL Server, enhancing ETL processes and integrations to deliver accurate, timely reports.
Data Engineer: Lakehouse & AI/ML Platform Builder
Data Engineer building and maintaining a central lakehouse data platform using Databricks, Snowflake, Spark, and Python to enable analytics and AI/ML initiatives.