Senior Data Engineer — Azure Synapse & Lakehouse

QL Corporate Services Sdn Bhd; Shah Alam; On-site; MYR 90,000 - 140,000; Full time

Job summary

QL Corporate Services Sdn Bhd is seeking a skilled data engineer to design, build and optimize enterprise data pipelines and analytics platforms across ERP, financial, manufacturing, and supply chain systems. You will work with Microsoft Fabric, Azure Synapse, and PySpark to transform data into actionable insights.

Ideal candidates have 4–6 years of hands-on experience in data engineering, BI, and data warehousing, plus strong communication and stakeholder management skills.

Qualifications

• Bachelor’s degree in Computer Science, IT, Data Science, Data Engineering or a related field.
• 4–6 years hands-on experience in data engineering, BI, data warehousing or analytics.
• Proven track record delivering enterprise data pipelines, ingestion and integration frameworks, and analytics platforms within a complex, multi-system environment (ERP, financial, manufacturing, supply chain, and commercial systems).
• Strong experience with Microsoft Fabric, OneLake, Azure Synapse, Azure Data Factory, SQL, Python and PySpark. Knowledge of Lakehouse design, Medallion Architecture, Parquet/Delta formats and dimensional data modelling.
• Strong communication, problem-solving and stakeholder management skills, with a practical, service-oriented mindset.
• Willing to be based at Shah Alam, Selangor.

Skills

Communication

Problem solving

Stakeholder management

Service-oriented mindset

Education

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

Master’s degree or relevant professional certification

Tools

Microsoft Fabric

OneLake

Azure Synapse

Azure Data Factory

SQL

Python

PySpark

Lakehouse design

Medallion Architecture

Parquet/Delta formats

Dimensional data modelling

Job description

QL Corporate Services Sdn Bhd is seeking a skilled data engineer to design, build and optimize enterprise data pipelines and analytics platforms across ERP, financial, manufacturing, and supply chain systems. You will work with Microsoft Fabric, Azure Synapse, and PySpark to transform data into actionable insights.

Ideal candidates have 4–6 years of hands-on experience in data engineering, BI, and data warehousing, plus strong communication and stakeholder management skills.