Azure Infrastructure & Data Engineer

Hiring: Role: Azure Infrastructure & Data Engineer

We are currently partnering with a top-tier Global Financial Data & Market Intelligence Enterprise to expand their high-performing technology hub in Penang, Malaysia.

If you are a hands-on cloud specialist with dual expertise in Azure Cloud Infrastructure (IaC) and Data Platform Engineering, we want to connect with you. You will play a critical role in transitioning data pipelines from legacy systems into a modern cloud environment.

Position Summary

• Role: Azure Infrastructure & Data Engineer
• Location: Penang, Malaysia (George Town)
• Experience: 3+ Years of hands-on experience
• Work Setup: Hybrid (2x/week onsite) - 4x per week onsite during probationary
• Work Eligibility:Malaysian Citizens, MyPR Holders, or RP-T Holders(No visa sponsorship available)

Key Responsibilities

• Data Pipeline Engineering: Build and maintain end-to-end data pipelines and data solutions using Azure Data Factory (ADF), Microsoft Fabric, ADLS, and Azure Synapse.
• Cloud Infrastructure: Design, deploy, and operate secure Azure Landing Zones aligned with enterprise governance.
• Infrastructure as Code: Build scalable infrastructure utilizing Terraform or Bicep.
• Modernization Delivery: Actively execute the migration of legacy/Excel-based financial processes into modern cloud-native Azure solutions.
• Team Collaboration: Work autonomously as a core data engineering SME alongside an 8-person regional team and collaborate closely with UK/US stakeholders.

Candidate Profile

• 3+ years of core hands-on experience across Azure Infrastructure and Data platform engineering.
• Strong hands-on expertise in building pipelines with Azure Data Factory (ADF), SQL, and ideally Microsoft Fabric or Synapse.
• Experience with Infrastructure as Code (Terraform/Bicep) and setting up Azure networking/security baselines.
• Strong English communication skills, comfortable aligning with global teams during evening overlap hours.
• Bonus Skills: Exposure to AI/ML workloads, Databricks, or PySpark.

Interested or know someone who fits

Apply now or send your CV directly to [Confidential Information] to schedule a discussion!