Microsoft Fabric Data Engineer

GECO Asia Pte. Ltd; Philippines; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

GECO Asia Pte. Ltd. seeks a hands-on Microsoft Fabric Data Engineer to build, scale, and enhance the TRACK Data Lakehouse platform using Microsoft Fabric. You will integrate data from multiple Dataverse environments and other systems with focus on quality, governance, security, and performance.

The role emphasizes data modeling, ETL/ELT design, and enabling analytics through Power BI reporting and robust data pipelines.

Qualifications

• Minimum 2 years of relevant Data Engineering/Analytics experience.
• Hands‑on experience with Microsoft Fabric and data lakehouse concepts.
• Experience building and maintaining scalable ETL/ELT pipelines.
• Proficiency in Power BI reporting and analytics.
• Knowledge of Dataverse environments and Power Platform.
• Strong data modeling, governance, and performance optimization skills.

Responsibilities

• Design, develop, and maintain Bronze, Silver, and Gold data layers in the Lakehouse.
• Integrate data from multiple Dataverse environments and systems.
• Build and optimize scalable data pipelines and transformations.
• Develop data and semantic models to support analytics and reporting.
• Support Power BI reporting with clean, reliable datasets.
• Prepare data platforms for AI/ML initiatives and Copilot readiness.
• Enforce data quality, governance, and security controls.
• Monitor performance and reliability of pipelines and Lakehouse solutions.
• Collaborate with stakeholders to translate data needs into scalable solutions.

Skills

Lakehouse Architecture

SQL

Python

Apache Spark

Microsoft Power Platform

Dataverse integration

Semantic Modeling

Power BI reporting

AI/ML Copilot data initiatives

Job description

Job Summary

We are looking for a hands‑on Microsoft Fabric Data Engineer to help build, enhance, and scale the TRACK Data Lakehouse platform using Microsoft Fabric. The ideal candidate will have strong experience in designing modern data solutions, building scalable data pipelines, and supporting analytics and reporting requirements.

This role will work closely with stakeholders to integrate data from multiple Dataverse environments and other enterprise systems, while ensuring data quality, governance, security, and performance.

Key Responsibilities

• Design, develop, and maintain the Bronze, Silver, and Gold data layers within the Microsoft Fabric Lakehouse architecture.

• Integrate and consolidate data from multiple Dataverse environments and other enterprise systems.

• Build and maintain scalable data pipelines, transformations, and ETL/ELT processes.

• Develop and optimize data models and semantic models to support analytics and reporting requirements.

• Support Power BI reporting by providing reliable, high-quality, and well‑structured datasets.

• Prepare and optimize data platforms to support AI/ML initiatives and Copilot data readiness.

• Implement and maintain data quality standards, governance, security, and access controls.

• Monitor and optimize the performance, reliability, and scalability of data pipelines and Lakehouse solutions.

• Collaborate with business stakeholders, analysts, developers, and other technical teams to translate data requirements into scalable solutions.

• Troubleshoot and resolve data integration, transformation, and performance issues.

Required Qualifications

• At least 2 years of relevant experience in Data Engineering, Data Integration, Analytics Engineering, or a related role.

• Hands‑on experience with Microsoft Fabric.

• Experience supporting or developing solutions using Power BI.

• Experience working with Dataverse and/or Microsoft Power Platform.

• Strong knowledge of Data Modeling and ETL/ELT Design.

• Experience in designing and implementing modern data architectures and data pipelines.

• Strong understanding of data quality, governance, security, and performance optimization.

• Ability to work independently and collaboratively in a fast‑paced enterprise environment.

Preferred Skills

• Lakehouse Architecture

• SQL

• Python

• Apache Spark

• Microsoft Power Platform

• Dataverse integration

• Semantic Modeling

• Power BI reporting and analytics

• Experience supporting AI/ML or Copilot‑related data initiatives

Ideal Candidate Profile

We are looking for a highly motivated and hands‑on Data Engineer who enjoys building scalable enterprise data platforms. The ideal candidate is passionate about modern data technologies and has experience working with analytics, reporting, data integration, and emerging AI‑driven solutions.

Employment Details

• Role: Microsoft Fabric Data Engineer

• Experience Required: More than 3 years of relevant experience

• Working Hours: 45 hours per week

• Shift Schedule: Mid Shift, 2:00 PM to 12:00 MN

• Work Setup: Hybrid

• Onsite Requirement: 2 days per week, between Tuesday and Thursday

• Project Location: Cyberpark 1