Microsoft Fabric Data Engineer - Malaysia

Reposted Yesterday
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Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
In-Office
Mid level
Edtech • Information Technology • Professional Services • Software
The Role
Design, build, and manage Microsoft Fabric data architectures and ETL pipelines. Transform raw data for analytics and AI, optimize models/pipelines for performance and cost, ensure data quality and governance, and support AI teams for RAG/LLM workloads. Document processes and collaborate with stakeholders.
Summary Generated by Built In
Position: Microsoft Fabric Data Engineer
Experience: 3–6 years

 

About the Role

We are looking for a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You’ll work with Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads.

 

You’ll collaborate with AI engineers, product managers, and business teams to ensure data is clean, secure, scalable, and ready to power intelligent applications.

 

What You’ll Do

 

Design and maintain Microsoft Fabric data architecture
Build ETL pipelines using Fabric, Synapse, or Azure Data Factory
Transform raw data into structured datasets for analytics and AI projects
Optimize data models and pipelines for performance, reliability, and cost
Support AI engineers for RAG and LLM workloads
Monitor pipeline performance, ensure data quality and governance
Document workflows and share knowledge with the team

 



Requirements

What You Need

Bachelor’s or Master’s in Computer Science, Data Engineering, or related field
3–6 years in data engineering, analytics, or platform engineering

Microsoft certifications: DP-600, AZ-204, DP-100

Hands-on experience with:

Microsoft Fabric (Lakehouse, Warehouse, Pipelines)
SQL, Spark / PySpark
Azure Data Factory or Synapse
Data modeling and pipeline optimization
Understanding of data governance, security, and compliance

 

 

Nice to Have

Exposure to AI workflows (RAG, semantic search)
Experience with Dataverse, vector databases, or Azure Cognitive Search
Power BI or Power Platform experience
Agile/Scrum experience


Skills Required

  • Bachelor's or Master's in Computer Science, Data Engineering, or related field
  • 3-6 years in data engineering, analytics, or platform engineering
  • Microsoft certifications: DP-600, AZ-204, DP-100
  • Hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, Pipelines)
  • SQL
  • Spark / PySpark
  • Azure Data Factory or Synapse
  • Data modeling and pipeline optimization
  • Understanding of data governance, security, and compliance
  • Exposure to AI workflows (RAG, semantic search)
  • Experience with Dataverse
  • Experience with vector databases
  • Azure Cognitive Search
  • Power BI or Power Platform experience
  • Agile/Scrum experience
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The Company
HQ: Singapore
320 Employees
Year Founded: 2000

What We Do

Lithan is a Pan-Asia Digital Learning and Talent Platform focused on delivering growth for talents and enterprises in the digital economy, bridging talent crunch and income inequality with its eduCLaaS model.

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