AI Data Engineer

GSR Technology Limited; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A technology company in Kuala Lumpur is seeking an AI Data Engineer to design and build scalable data pipelines that ensure data quality and support AI/ML applications. The ideal candidate will have 1–5 years of experience, strong SQL skills, and proficiency in at least one programming language such as Python or Java. Familiarity with big data technologies and workflow orchestration tools is preferred. This role involves close collaboration with data analysts and scientists.

Qualifications

• 1–5 years of relevant working experience in data engineering or related roles.
• Strong SQL skills and proficiency in at least one programming language.
• Hands-on experience with big data technologies.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize data warehouse and lakehouse architectures.
• Ensure data quality, freshness, and reliability.

Skills

SQL skills

Python or Java or Scala

Big data technologies (Spark, Hive, Iceberg)

Data modeling concepts

Workflow orchestration tools (Airflow)

ML pipelines experience

Job description

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 advantage