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 & AI Data Architect
Design and build scalable Azure Databricks data pipelines and AI integrations for an insurance-focused enterprise, ensuring governance and security across enterprise systems.
Senior Data Engineer
Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, translating business needs into analytics solutions using cloud warehouses like BigQuery and tools like Tableau.
Senior Data Engineer
Build and maintain robust data pipelines for a global fintech, ensuring real-time accuracy for trading, compliance, and AI systems while implementing governance and observability from day one.
Senior Data Engineering Tech Lead: Reliable Pipelines
Lead the design and governance of data pipelines, ensuring reliability and observability while mentoring engineers and shaping team velocity.
Data & Analytics Manager (Snowflake / Data Engineering & BI) (ID : 17310)
Lead a team to build and deliver enterprise data platforms using Snowflake, BI tools, and data engineering pipelines for a global chemical manufacturer.
Senior Data Engineer – ML & Big Data for E‑commerce
Design and optimize data pipelines, collaborate with data scientists on ML models, and ensure scalable data processing for ZALORA's fashion marketplace.
Data Engineer: ETL, Data Pipelines & Analytics
Build and scale ETL pipelines, data warehouses, and lakes using Python, SQL, and AWS to deliver clean, timely data for business insights at a fintech investment platform.
AI and Data Platform Engineer (Based KL)
Build and deploy AI-driven solutions, including LLM integrations, RAG, and agent-based workflows, while engineering scalable data pipelines and maintaining production systems.
Consultant - Data Engineer: Cloud Pipelines that Scale
Designs and builds scalable cloud data pipelines and platforms for clients, migrating legacy systems to modern cloud environments using Azure Data Factory, Synapse, and Snowflake.
Data Engineering Architect & Reliability Leader
Define data engineering standards, own production reliability, and guide scalable pipelines in a fast-paced trading environment while mentoring a high-performing team.
Data Engineer - Data Warehousing & ETL for FinTech
Designs and maintains data warehouses and ETL pipelines for a fintech consultancy, using Databricks, SQL, and Python to deliver analytics-ready datasets.
Data Engineer
Design and build data marts, ETL/ELT pipelines, and dimensional models to support analytics and reporting for fintech clients using Databricks, AWS, and SQL.
Senior Data Engineer
Senior Data Engineer builds SQL-based data models and BI dashboards for marketing and e-commerce clients, using cloud warehouses (BigQuery, Snowflake) and tools like Looker Studio or Tableau.
Data Engineer
Designs and builds scalable data pipelines and cloud-based ETL/ELT workflows to integrate and transform enterprise data for analytics and BI.
Data Engineering Tech Lead
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
AI & Data Platform Engineer: Scale Intelligent AI Pipelines
Designs and scales AI data pipelines, integrates LLMs into features, and ensures production readiness with monitoring and automation for AI projects.
Senior Data Engineer: Build Scalable Data Pipelines & Products
Senior Data Engineer builds and maintains scalable data pipelines and governed data products for enterprise use cases, collaborating with cross-functional teams.