- Kuala Lumpur Federal Territory Malaysia
Working Location
Job Description
Responsibilities
Role Summary:
We are seeking an AI Data Engineer to design and build reliable, scalable data
foundations that support analytics and AI/ML applications. This role focuses on
developing robust data pipelines, ensuring feature readiness, and maintaining high data
quality and reliability for AI-driven use cases.
Key Responsibilities:
• Design, build, and maintain scalable data pipelines to support analytics and
AI/ML workloads
• Develop and optimize data warehouse and lakehouse architectures
• Ensure data quality, freshness, reliability, and SLA compliance for critical datasets
• Support feature engineering, training datasets, and model inference pipelines
• Improve data discoverability and usability through metadata management, data
lineage, and documentation
• Collaborate closely with data analysts, data scientists, and AI/ML engineers to
enable end-to-end data solutions
Job Requirements:
• 1–5 years of relevant working experience in data engineering or related roles
• Strong SQL skills and proficiency in at least one programming language (Python,
Java, or Scala)
• Hands-on experience with big data technologies such as Spark, Hive, Iceberg, or
similar frameworks
• Solid understanding of data modeling concepts and ETL/ELT pipeline design
• Experience with workflow orchestration tools such as Airflow (or equivalent)
• Exposure to ML pipelines, feature stores, or AI-related data workflows is a strong
plus
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