Microsoft Fabric Data Engineer - Philippines

eduCLaaS; Manila; On-site; PHP 1,200,000 - 1,500,000; Full time

Job summary

eduCLaaS is seeking a Microsoft Fabric Data Engineer in Manila, Philippines. This role involves designing, building, and managing enterprise data solutions using Microsoft Fabric.

The ideal candidate will have 3–6 years of experience in data engineering and relevant certifications. Responsibilities include building ETL pipelines and ensuring data quality for intelligent applications.

Qualifications

• 3–6 years in data engineering, analytics, or platform engineering.
• Microsoft certifications: DP-600, AZ-204, DP-100.
• Hands-on experience with data modeling and pipeline optimization.

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.

Skills

Data Engineering

Microsoft Fabric

SQL

Spark / PySpark

Azure Data Factory

Data modeling

Data governance

Education

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

Tools

Microsoft Fabric (Lakehouse, Warehouse, Pipelines)

Azure Synapse

Job description

Microsoft Fabric Data Engineer - Philippines

Manila, Philippines | 2 positions

• State/Province Capital Region (Manila)
• Country Philippines
• Number of Positions 2

Job Description

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