TRIIIO Recruitment Hiring! Full Time Data Engineer in Federal Territory, Earn up to MYR 12,000 - Ricebowl

Job Overview

We are looking for an experienced Data Engineer to join a growing Data team in a greenfield environment. This is an exciting opportunity to help build data architecture, scalable pipelines, and governance frameworks that support business intelligence, AI initiatives, analytics, and secure data management.

Location

Kuala Lumpur – Menara Great Eastern 2

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to extract data from various business systems.
• Organise and classify data using ROT (Redundant, Obsolete, Trivial) analysis techniques.
• Implement and manage data storage solutions using Microsoft Azure, Microsoft Fabric, SharePoint, and related technologies.
• Ensure data integrity, quality, and security across data platforms.
• Build and maintain data models for reporting and analytics.
• Provide clean, structured, and governed datasets for Power BI reporting.
• Support AI and machine learning initiatives by ensuring data is clean, structured, and accessible.
• Develop and enforce data governance policies and best practices.
• Monitor and optimise data workflows for performance and cost efficiency.
• Perform other duties as assigned.

Requirements

• Bachelor’s degree in Computer Science, IT, Data Analytics, or a related field.
• 4+ years of experience in Data Engineering, including building and supporting data solutions.
• Azure Data Engineer Associate (DP-203) certification.
• Experience with greenfield implementations, digital transformation, BI, data warehousing, and analytics environments.
• Strong knowledge of Microsoft data technologies, including:
• Azure Data Factory
• Azure Synapse Analytics
• Microsoft Fabric
• SharePoint
• Azure Storage
• Hands-on experience with ETL/ELT, data modelling, data warehousing, and scalable data architecture.
• Experience integrating systems through REST APIs/webhooks.
• Experience managing identity using Microsoft Entra ID.
• Understanding of data governance, data lifecycle management, and AI/ML data requirements.
• Knowledge of Dataverse is advantageous.
• Additional Microsoft certifications such as AZ-305, AZ-900, or SC-900 are an advantage.

Why Join?

• Opportunity to work in a greenfield data environment.
• Build and shape modern data architecture from the ground up.
• Exposure to Microsoft Azure and Microsoft Fabric technologies.
• Opportunity to contribute to BI, AI/ML, data governance, and digital transformation initiatives.

Pay: RM10,000.00 - RM12,000.00 per month

Application Question(s):

• How many years of hands-on experience do you have in Data Engineering?
• Do you have hands-on experience building and maintaining ETL/ELT pipelines

Work Location: Hybrid remote in Kuala Lumpur (Kuala Lumpur)