Senior Data Engineer, Lakehouse Platform Lead

QL Resources Group; Shah Alam; On-site; MYR 120,000 - 180,000; Full time

Job summary

QL Corporate Services Sdn Bhd is seeking a Senior Data Engineer to design, build, and operate an enterprise data platform on Microsoft Fabric. You will focus on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data quality, and analytics-ready assets to empower analytics, AI, and self-service BI across the organisation.

You will collaborate with ERP, manufacturing, finance, and supply chain systems, mentored by senior teammates and based in Shah Alam.

Qualifications

• Bachelor’s degree in Computer Science, IT, Data Science, Data Engineering or related field.
• 4–6 years hands-on experience in data engineering, BI, data warehousing or analytics.
• Strong experience with Microsoft Fabric, OneLake, Azure Synapse, Azure Data Factory, SQL, Python and PySpark.

Responsibilities

• Build and enhance QL Group’s 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 to ensure timely, accurate and reliable data delivery.
• Apply data governance, access control and data quality standards to keep enterprise data secure and trusted.
• Partner with business and IT stakeholders to translate requirements into effective analytics solutions, improving data accessibility, self-service adoption, and overall user satisfaction.
• Deliver high-quality technical work on assigned projects, share expertise, and mentor junior team members to help raise data literacy across teams.

Skills

Data engineering

BI

Data warehousing

Analytics

Education

Bachelor’s degree in CS/IT/DS/DE

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 an enterprise data platform on Microsoft Fabric. You will focus on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data quality, and analytics-ready assets to empower analytics, AI, and self-service BI across the organisation.

You will collaborate with ERP, manufacturing, finance, and supply chain systems, mentored by senior teammates and based in Shah Alam.