Data Engineering Jobs in Malaysia
There are 393 open Data Engineering jobs in Malaysia on freehire right now. 127 of them were posted recently. The skills employers ask for most often are analytics, etl and sql.
Most requested skills
- analytics 65%
- etl 61%
- sql 60%
- data-pipelines 59%
- python 56%
- data-engineering 53%
- cloud 51%
- data-quality 45%
How the work is done
- Onsite 53 · 13%
- Hybrid 26 · 7%
- Remote 11 · 3%
Visa sponsorship offered in 0% of the 9 postings that state a position on it.
Seniority
- Senior 137
- Lead 33
- Junior 8
- C-level 6
- Intern 5
- Principal 2
Who is hiring
- 1000+ employees 50
- 51-200 employees 5
- 201-500 employees 4
- 11-50 employees 2
- 501-1000 employees 2
[Expression of Interest] Data Engineer
Data Engineer on Experian's Ascend Sandbox team in Kuala Lumpur, building and scaling a cloud-based analytical data platform serving APAC clients and data scientists. Day-to-day work involves Python/PySpark/SQL batch and streaming pipelines, data modelling, orchestration, quality controls and governance on AWS services like S3, Glue, Athena, Redshift and EMR.
Data Engineer
Builds structured data delivery systems, analytical platforms, and monitoring dashboards for Compliance and Trading teams, plus real-time data collection (web scraping/APIs) and AI data agents. Core stack: Python, Spark/Hadoop, OLAP engines (Presto/Doris/StarRocks/ClickHouse), SQL, with some Java and Docker/Kubernetes.
Ant International-Data Engineer-Malaysia
Data engineer (senior and junior roles) at Ant International's Malaysia Tech Center in Kuala Lumpur, building end-to-end data solutions for cross-border payments: designing data models, developing and optimizing ETL pipelines, and managing real-time data warehousing using distributed engines like Hive, Spark, and Flink.
Senior Data Engineer
Client-facing Senior Data Engineer (Marketing & BI) in Kuala Lumpur: ~70% delivering SQL-based data models, cloud-warehouse pipelines and BI dashboards for marketing and e-commerce clients, ~30% building internal capability. Core stack is BigQuery (plus Snowflake/Databricks/Redshift) with Looker Studio, Power BI or Tableau.
Junior Data Engineer
Junior data engineer supporting the development and maintenance of data pipelines, the data warehouse, and ETL processes, including integrating data from systems like Microsoft D365 and preparing clean datasets for analytics and reporting. Core stack is SQL, Power BI, and Python, with AI/ML and automation initiatives on the side.
Data Platform Engineer
Data Platform Engineer at PayNet (Malaysia's payments network) in Kuala Lumpur: owns the shared data platform other teams build on — ingestion/CDC frameworks, pipeline SDKs, monitoring, and GitOps-based deployments — working hands-on with Python, Kubernetes, and cloud-native data infrastructure.
Senior Data Engineer
Client-facing Senior Data Engineer at Monks in Kuala Lumpur, spending ~70% of time on marketing & BI data delivery for enterprise clients: SQL-based data modeling in cloud warehouses (BigQuery-first), BI dashboards (Looker Studio, Power BI, Tableau), plus client workshops and stakeholder management; remaining ~30% on internal capability building.
Data Engineer (Databricks)
Salary: RM 5,500 – RM 8,000 per month We are looking for a skilled Databricks Data Engineer to join our team for a client project. The successful candidate will be responsible for designing, developing, and optimizing…


Lead Data Engineer, Metrics Platform
Get to Know the Team The Metrics Platform team is a team within Grab's Data Technology organization, with members across Singapore, Indonesia, Thailand, Vietnam and Malaysia. We build the central platform for metrics…
Senior Data Engineer - Data Lakehouse
Salary: RM 8,000 – RM 12,000 per month About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end…
Azure Data Engineer - 1-Year Contract for Databricks Pipelines
Join Digital Omnis Consulting on a 1-year renewable contract in Kuala Lumpur to design, build, and manage cloud data pipelines and ETL processes supporting analytics and reporting. Core stack is Azure Data Factory, Databricks, and Python, with a focus on data quality, governance, and security.
Senior Data Engineer
Senior Data Engineer on a 1-year renewable contract in Kuala Lumpur, designing, building, and maintaining cloud data pipelines and ETL processes primarily on Azure and Databricks. Day-to-day involves Python/R scripting, DevOps-driven pipeline deployment, and ensuring data quality and governance.
Senior Data Engineer
Builds and maintains Bybit's data platform: big data pipelines, analytics dashboards and governance for compliance/trading teams, plus AI-driven data agents and web-scraping/procured-data ingestion. Core stack: Python, SQL, Spark/Hadoop, OLAP engines (ClickHouse/Doris/StarRocks/Presto), Java, Docker/Kubernetes.
Senior Data Engineer - ETL, Python & API Pipelines
Senior Data Engineer at TechXSA, a data and engineering services provider in the oil & gas sector, builds ETL/ELT pipelines, data models, and API endpoints for client systems and governance. Core stack: Python, SQL, and tools like Talend, SSIS, and Azure Data Factory.
Senior Data Engineer - Cloud Pipelines & Dashboards
Senior Data Engineer in Kuala Lumpur who leads data modelling and pipeline development for the big data team, optimising cloud data pipelines and producing MIS reports and dashboards. Core stack: AWS (Redshift, Glue, S3, Lambda, RDS, Aurora, API Gateway), Python/PySpark/SQL, SAP and Power BI.
Senior Data Engineer
Senior Data Engineer in Kuala Lumpur who designs, builds and maintains data pipelines and data models, and delivers reports and dashboards (SAP, Power BI) for business users. Core stack is AWS cloud services (Glue, Redshift, Lambda, RDS, Aurora, S3) plus Python, PySpark and SQL.
Senior Data Engineer: Azure Pipelines & OSDU
Senior data engineer in Kuala Lumpur building and supporting upstream subsurface data management apps at Dexian Asia Pacific — designing Azure ingestion pipelines, migrating legacy data to modern data warehouses, ensuring data integrity, and optimizing workflows, with OSDU open-source contributions encouraged.
Data Engineer (Azure Experience)
Data Engineer building and maintaining ETL/ELT pipelines on Azure — Data Factory, Databricks (PySpark/SQL), ADLS Gen2 and Delta Lake — with CI/CD, data quality checks, monitoring and governance for production data platforms. Supports analytics/ML datasets and client teams in China and Hong Kong.