Assistant Manager-Senior Executive Data Engineering

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

Job summary

QL Resources Berhad in Malaysia seeks an Assistant Manager/Senior Executive Data Engineering to design, build and operate the enterprise Lakehouse platform on Microsoft Fabric, delivering reliable data for analytics, AI and self-service BI across the organisation.

You will work on data ingestion, ETL/ELT pipelines, data governance, and collaboration with business and IT stakeholders to translate requirements into scalable analytics solutions, mentoring junior team members and driving performance

Qualifications

• Bachelor's degree in Computer Science, IT, Data Science or Data Engineering.
• Master's degree or relevant professional certification is an added advantage.
• 4–6 years hands-on experience in data engineering, BI, data warehousing or analytics.
• Proven track record delivering enterprise data pipelines and analytics platforms.
• Willing to be based at Shah Alam, Selangor.

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 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 analytics solutions and improve self-service adoption and user satisfaction.
• Deliver high-quality technical work on assigned projects and mentor junior team members to raise data literacy across teams.
• Support performance, cost optimisation and continuous improvement across the data platform.

Skills

Communication

Problem-solving

Stakeholder management

Mentorship

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

Parquet/Delta formats

Dimensional data modelling

Medallion Architecture

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.

Assistant Manager-Senior Executive Data Engineering

In this role as the Assistant Manager/Senior Executive Data Engineering, 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.