Microsoft Fabric Data Engineer - Philippines

CLaaS2SaaS; Metro Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

CLaaS2SaaS in the Philippines is hiring a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You will work with Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads, ensuring reliability, security, and scalability.

Collaborate with AI engineers, product managers, and business teams to transform raw data into trusted datasets, optimize models and pipelines for cost and performance, and support RAG/LLM workloads.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Spark / PySpark

Data modeling

Pipeline optimization

Governance & security

Education

Bachelor’s or Master’s in Computer Science, Data Engineering, or related field

Tools

Microsoft Fabric

Azure Data Factory

Synapse

Dataverse

Power BI

Job description

About the Role

Position: Microsoft Fabric Data Engineer
Experience: 3–6 years

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

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