Snapshot of the Role
In this role as the Senior Data Engineer, 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.
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