Senior Data Platform Engineer — Lakehouse & Analytics

QL Resources Berhad; Shah Alam; On-site; MYR 140,000 - 210,000; Full time

Job summary

QL Group is seeking a Senior Data Engineering Executive to design, build, and operate its enterprise data platform on Microsoft Fabric, delivering reliable data for analytics, AI, and self-service BI across the organisation.

You will work on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data quality, and performance optimisation, while mentoring junior team members and driving continuous improvement.

Qualifications

• Minimum 4–6 years of hands-on experience in data engineering, BI, data warehousing or analytics.
• Proven track record delivering enterprise data pipelines and analytics platforms in a multi-system environment.
• 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.
• Develop and optimise data ingestion from ERP, manufacturing, supply chain, finance and other ERP systems.
• Design, schedule and monitor ETL/ELT pipelines for timely, accurate data delivery.
• Apply data governance, access control and data quality standards to secure and trust enterprise data.
• Partner with business and IT stakeholders to translate requirements into analytics solutions.
• Deliver high-quality technical work, share expertise, and mentor junior team members.

Skills

Data engineering

BI

Data warehousing

Analytics

Python

PySpark

SQL

Lakehouse

Education

Bachelor's in CS/IT/Data Eng

Master’s or certs (advantage)

Tools

Microsoft Fabric

OneLake

Azure Synapse

Azure Data Factory

Databricks

Job description

QL Group is seeking a Senior Data Engineering Executive to design, build, and operate its enterprise data platform on Microsoft Fabric, delivering reliable data for analytics, AI, and self-service BI across the organisation.

You will work on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data quality, and performance optimisation, while mentoring junior team members and driving continuous improvement.