Hybrid Fabric Lakehouse 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

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.