Data & AI Platform Engineer: Scale Pipelines & AI Apps

Jobstreet Malaysia; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

A financial services provider in Kuala Lumpur is looking for a Data & AI Ops Engineer to design and maintain scalable data pipelines. The role requires expertise in data architecture, API integration, and cloud platforms. Ideal candidates should have a Bachelor's in a related field or equivalent experience with a strong foundation in data engineering and operational support. Excellent problem-solving and communication skills are essential. A competitive salary and opportunities for professional growth are offered.

Qualifications

• Minimum 6 years of hands-on experience in data engineering or data integration.
• At least 3 years in designing and supporting enterprise-scale data pipelines.
• Minimum 8 years of practical experience with a diploma.

Responsibilities

• Design and maintain scalable data pipelines for analytics and reporting.
• Ensure data quality and reliability through validation and transformation.
• Collaborate with teams to define data requirements and solutions.
• Optimize data storage and performance across cloud platforms.
• Monitor and resolve data-related issues in accordance with SLAs.

Skills

Data architecture understanding

ETL/ELT pipeline design

Experience with RDBMS

Familiarity with API integrations

Knowledge of cloud platforms

Understanding of data governance

Awareness of AI/ML fundamentals

Experience in BI frameworks

Strong documentation skills

Problem-solving ability

Education

Bachelor’s Degree in Computer Science or related field

Diploma in a relevant discipline with significant experience

Tools

Azure Data Factory

Databricks

Power BI

Job description

A financial services provider in Kuala Lumpur is looking for a Data & AI Ops Engineer to design and maintain scalable data pipelines. The role requires expertise in data architecture, API integration, and cloud platforms. Ideal candidates should have a Bachelor's in a related field or equivalent experience with a strong foundation in data engineering and operational support. Excellent problem-solving and communication skills are essential. A competitive salary and opportunities for professional growth are offered.