Senior Data Engineering Executive

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

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

In this role as the Senior Data Engineering Executive, you will design, build and operate QL Group’s enterprise data platform on Microsoft Fabric, delivering reliable, high-quality data that powers analytics, AI, and self-service BI across the organisation. You will work on Lakehouse architecture, data ingestion, ETL/ELT pipelines, data quality, performance optimisation and reusable analytics-ready data assets.

What You’ll Be Driven To Do

• 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.
• Support performance, cost optimisation and continuous improvement across the data platform

What You’ll Need to Succeed

• 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.
• Proven track record in 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.
• Experience with data ingestion from enterprise systems, APIs, flat files and databases using CDC or incremental loading.
• Strong communication, problem‑solving and stakeholder management skills, with a practical, service‑oriented mindset.
• Willing to be based at Shah Alam, Selangor.

At QL, sustainability and innovation go hand in hand. Join us in building data-driven solutions that support a sustainable agrofood ecosystem and accelerate our digital transformation journey.