Microsoft Fabric Data Engineer - Philippines

CLaaS2SaaS; Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

CLaaS2SaaS in Manila is seeking a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions for analytics and AI workloads. You'll work with Fabric Lakehouses, Warehouses, and Pipelines, transforming raw data into structured datasets, while ensuring data quality, security, and governance across teams.

Collaborate with AI engineers, product managers, and business teams to deliver scalable data platforms and cost-optimized data pipelines that support RAG and LLM

Qualifications

• 3–6 years in data engineering, analytics, or platform engineering.
• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• Microsoft certifications: DP-600, AZ-204, DP-100.

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

Microsoft Fabric

SQL

Spark / PySpark

Azure Data Factory

Azure Synapse

Data modeling

Data governance & security

Education

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

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

Tools

Azure Data Factory

Azure Synapse

Dataverse

Power BI

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

• 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