Senior Data Engineering Executive
Senior data engineering leader building enterprise data pipelines and analytics platforms using the Microsoft Fabric/Azure stack (Synapse, Data Factory, SQL, Python, PySpark) to drive digital transformation for a large agro-food corporation.
- Compensation
- Not disclosed
- Location
- Shah Alam, Malaysia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, IT, Data Science, Data Engineering or related field
- 4–6 years of 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
- Experience with complex, multi-system environments (ERP, financial, manufacturing, supply chain, 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
- Willing to be based at Shah Alam, Selangor
Nice to have
- Master's degree or relevant professional certification (e.g. Microsoft Fabric, Azure Data Engineer, Power BI Data Analyst, Databricks, AWS/GCP data certifications)
Full description
- Bachelor’s degree inComputer Science, IT, Data Science, Data Engineeringor 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.
- Minimum4–6 yearsof 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.
- 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.
Unlock job insights
Hirer responsiveness Salary match Number of applicants
Agriculture, Forestry & Fishing More than 10,000 employees
QL Corporate Services Sdn Bhd is a member of QL Resources Berhad. QL Resources is a sustainable and scalable multinational agro-food corporation that farms and produces some of the most resource-efficient protein and food energy sources with a market capitalisation of RM17.05 billion and revenue of RM 7.05 billion in FY2026. The Group has four business pillars; Integrated Livestock Farming, Marine Products Manufacturing, Palm Oil and Clean Energy, and Convenience Store Chain, and operates in Malaysia, Indonesia, Vietnam and China. QL remained resolute in our promise of delivering sustainable value to stakeholders.
QL Corporate Services Sdn Bhd is a member of QL Resources Berhad. QL Resources is a sustainable and scalable multinational agro-food corporation that farms and produces some of the most resource-efficient protein and food energy sources with a market capitalisation of RM17.05 billion and revenue of RM 7.05 billion in FY2026. The Group has four business pillars; Integrated Livestock Farming, Marine Products Manufacturing, Palm Oil and Clean Energy, and Convenience Store Chain, and operates in Malaysia, Indonesia, Vietnam and China. QL remained resolute in our promise of delivering sustainable value to stakeholders.
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