Senior Data Engineer: Lakehouse Platform Lead

QL Corporate Services Sdn Bhd; Shah Alam; On-site; MYR 150,000 - 210,000; Full time

Job summary

QL Corporate Services Sdn Bhd is seeking a Senior Data Engineer to design, build, and operate the enterprise data platform on Microsoft Fabric. You will deliver reliable, analytics-ready data to power AI, self-service BI, and enterprise analytics across the organisation.

The role focuses on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data governance, and cost optimisation, with mentoring responsibilities to grow data literacy across teams.

Qualifications

• Bachelor’s degree in Computer Science, IT, Data Science, Data Engineering or a related field.
• A Master’s degree or relevant professional certification (e.g. Microsoft Fabric, Azure Data Engineer, Power BI Data Analyst, Databricks, or AWS/GCP data certifications) is an added advantage.
• Minimum 4–6 years of hands-on experience in data engineering, BI, data warehousing or analytics.

Responsibilities

• Design, build and operate QL Group’s enterprise data platform on Microsoft Fabric.
• Build and enhance the enterprise Lakehouse platform using Medallion Architecture principles.
• Develop and optimise data ingestion from ERP, manufacturing, supply chain, finance and other enterprise systems.
• Design, schedule and monitor ETL/ELT pipelines for timely, accurate data delivery.
• Apply data governance, access control and data quality standards.
• Partner with business and IT stakeholders to translate requirements into analytics solutions.
• Deliver high-quality technical work on projects and mentor junior team members.
• Support performance, cost optimisation and continuous improvement across the data platform.

Skills

Strong communication

Problem-solving

Stakeholder management

Education

Bachelor’s degree in Computer Science/IT/Data Science/Data Engineering

Tools

Microsoft Fabric

OneLake

Azure Synapse

Azure Data Factory

SQL

Python

PySpark

Job description

QL Corporate Services Sdn Bhd is seeking a Senior Data Engineer to design, build, and operate the enterprise data platform on Microsoft Fabric. You will deliver reliable, analytics-ready data to power AI, self-service BI, and enterprise analytics across the organisation.

The role focuses on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data governance, and cost optimisation, with mentoring responsibilities to grow data literacy across teams.