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
Data Engineer
Designs and builds scalable data pipelines and warehouses for ad-tech/media clients using Python, AWS, Snowflake, Airflow, and dbt.
Banking Data Engineer: MongoDB & ETL Expert
Designs and maintains MongoDB-based data pipelines and warehouses for banking systems, implementing ETL/ELT to ensure secure, scalable financial data management.
Data Engineering
Lead the design and optimization of Tune Protect’s data ecosystem, building scalable ETL pipelines with SSIS/Airflow and modernizing the data warehouse to support analytics and AI initiatives.
AI & Data Engineer (m/f/x)
Build and maintain data pipelines, ML models, and MLOps workflows to scale AI solutions from experimentation to production using Python, cloud platforms, and modern frameworks.
Data Engineer
Designs and maintains MongoDB databases and ETL pipelines for banking systems, ensuring secure, scalable data management for financial applications.
AI & Data Engineer — ML Pipelines, MLOps & Cloud
Design and optimize ML pipelines and cloud infrastructure to move AI models from experimentation to production, ensuring data quality and security.
Senior Data Engineer: Scalable Web Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines to feed AI research, integrating text, code, and multimedia at web scale.
Data Engineer: Scalable ETL & Big Data Pipelines
Designs and maintains scalable ETL pipelines using Python, SQL, Hadoop, and Spark to move and process data for enterprise platforms.
Senior Data Platform Engineer – Cloud, Analytics & AI
Senior Data Platform Engineer at Mercedes-Benz Malaysia building cloud-based data architectures and scalable analytics solutions to drive data-driven decisions across the automotive value chain.
Senior Data Scientist — AI, ML & Data Engineering
Design, build, and deploy scalable AI/ML systems in Kuala Lumpur, owning the full lifecycle from data prep to production monitoring and continuous improvement.
Data Scientist (Mid / Senior) — AI, Machine Learning & Data Engineering
Design, build, and deploy AI/ML models and scalable data pipelines for predictive analytics and business optimization using cloud and MLOps practices.
Databricks Training Specialist - Data Engineering & Spark Expert
Delivers Databricks training to professionals and enterprises, designing labs in Spark, Python, and data engineering workflows.
Senior BI Data Engineer: Oracle Fusion ETL & OBIEE
Builds and maintains Oracle Fusion ETL pipelines and OBIEE reports for finance, HR, and supply-chain teams.
AI Strategy Lead for Smart Airport Data Platform
Lead AI strategy for an airport operator, defining product vision and overseeing ML lifecycle to build predictive analytics and AI governance across the enterprise.
Principal Data Engineering Leader
Lead data engineering teams to design and build scalable pipelines and ETL processes, enabling analytics and ML deployments for business insights at Western Digital.
Principal Engineer, Data Engineering
Principal Engineer designs and builds scalable data pipelines and ETL processes, integrates ML models, and creates dashboards to support analytics and business decisions using SQL, Python/Java/Scala, and big data tools.
Lead Data Engineer – Analytics, Data Lake & Governance
Design and implement data analytics, warehouse, and lake solutions, model data, and lead a technical team to align with business goals.