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
Senior Data Engineer: Platform & Governance on Databricks
Senior Data Engineer at Renesas Electronics designing and building a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, with hands-on data engineering, architecture work, and SAP/manufacturing domain fluency.
GCP Big Data Platform Engineer
Manages data lifecycle, ETL pipelines, and GCP Big Data Platform operations (BigQuery, Pub/Sub, Cloud Data Fusion) to ensure data accuracy, security, and efficient transfers across teams.
Senior Data Engineer
Designs and builds Azure Synapse/ADF pipelines for data integration, migrates IBM DataStage workloads, and mentors offshore engineers while collaborating with onshore leads on data architecture and SQL transformations.
Senior Data Engineer
Senior Data Engineer in Kuala Lumpur designing and maintaining data pipelines, data models, and BI dashboards using AWS serverless services (Glue, Redshift, Aurora, Lambda, RDS), Python/PySpark/SQL, and SAP/Power BI.
Senior Data Engineer
Senior Data Engineer builds and maintains Rapsodo’s cloud data platform, pipelines, and AI applications that power analytics and customer-facing agents for sports-tech products.
Senior Data Engineer: Scale Data Lakes & Pipelines
Builds and optimizes data lakes/pipelines to ensure data integrity and performance, mentors teams, and supports ML workflows in hybrid cloud environments.
Data Engineer: Scalable Pipelines & AI-Ready Analytics
Designs and maintains scalable data pipelines and cloud-based analytics infrastructure for a healthcare company, ensuring data quality, security, and AI-readiness while collaborating with data scientists and stakeholders.
Senior Data Engineer - Cloud Pipelines, BI & Data Modeling
A Senior Data Engineer designing, building, and optimizing data pipelines, models, and dashboards using AWS services (Redshift, Glue, S3, Lambda, RDS, Aurora) and producing MIS reports/BI dashboards with SAP and Power BI.
Data Engineer
Data Engineer at CARiNG Pharmacy designing and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data infrastructure (GCP/BigQuery) to support analytics and AI initiatives.
Data Engineer
Data Engineer designing and maintaining a central data platform (Databricks, Snowflake, Python, SQL) supporting analytics and AI/ML workloads at a precision instruments company.
Data Engineer
The Data Engineer will design and maintain data infrastructure, including databases, data pipelines, and machine learning tools like feature stores and experiment tracking. The role focuses on optimizing data quality and efficiency within a financial services environment using Python and big data technologies.
Data Engineer
Builds and maintains data pipelines, migrating systems to a new framework while ensuring data quality, integrity, and reliability using Python, Java, Kafka, Airflow, and cloud storage solutions.
ETL Data Engineer: Build Scalable Pipelines & Big Data
Data engineer designing scalable ETL/ELT pipelines with Python, Shell, and SQL on Hadoop/Linux infrastructure, collaborating with stakeholders to align technical solutions with business needs.
Data Engineer: Build Scalable Big Data Solutions
Designs and maintains scalable data pipelines using Python, Spark, and SQL on Linux, with DevOps practices for reliable data processing.
Data Engineer: Cloud Pipelines, Airflow & Data Governance
Data engineer responsible for migrating pipelines to a GDP framework, building ingestion scripts, governing data quality, and deploying containerized apps using Docker and Kubernetes, with core technologies including Python, Airflow, Iceberg, Datahub, and Ranger.
Senior Data Engineer — MLOps & AWS Pipelines
Design and operate AWS data pipelines and ML lifecycle automation, translating data science experiments into production-grade applications using ETL, containerization, and CloudFormation.
Senior Data Engineer
Hybrid Senior Data Engineer building MLOps and ETL pipelines on AWS, containerizing applications, and managing cloud infrastructure (CloudFormation, SageMaker, Lambda, S3) for a large insurance company.
Data Engineer
The Data Engineer will design, build, and maintain scalable data pipelines, databases, and data warehouses to ensure reliable data access for analytics and business reporting. The role involves implementing ETL/ELT processes and optimizing data infrastructure using technologies like Python, SQL, Spark, and cloud platforms.