Data Engineer - Azure(Bilingual Japanese, Korean /Mandarin)

Randstad (Schweiz) AG; Kuala Lumpur; On-site; MYR 70,000 - 100,000; Full time

Job summary

A leading company in technology solutions is seeking an experienced Data Engineer in Kuala Lumpur. This role focuses on leveraging Azure technologies to build data solutions and drive insights while requiring strong communication in English and one Asian language. You'll engage with partners to enable advanced analytics and assist in deploying AI-based solutions, making significant contributions to data-driven initiatives.

Qualifications

• 5+ years in data engineering, machine learning, or cloud development.
• Hands-on experience with Azure technologies is essential.
• Fluency in English and at least one of Japanese, Korean, or Mandarin required.

Responsibilities

• Enable partners on analytics, engineering, and AI use cases.
• Provide technical guidance on data ingestion and modeling.
• Support AI/ML model deployment using Azure ML.

Skills

Data Engineering

Machine Learning

Problem Solving

English Communication

Japanese

Korean

Mandarin

Education

Microsoft certifications DP-203, AI-102, AZ-204

Tools

Azure Data Factory

Azure ML

Databricks

Cognitive Services

.NET

Node.js

Python

Job description

Onsite

We are seeking an experienced Data Engineer with a strong background in Azure technologies and fluency in Japanese, Korean, or Mandarin. The ideal candidate will excel in designing and implementing data solutions that drive business insights and support our data-driven initiatives.

What You'll Do:Key Responsibilities:
- Enable partners on advanced analytics, data engineering, and AI use cases.
- Provide technical guidance on data ingestion, modeling, pipelines, and governance.
- Support partners in building, training, and deploying AI/ML models using Azure ML.
- Assist with cognitive services integration such as vision, language, and search APIs.
- Deliver readiness sessions on Azure App Services, containers, serverless, and DevOps.
- Review partner solutions for scalability, performance, and security.

Qualifications:
- 5+ years in data engineering, machine learning, or full-stack/cloud development.
- Hands-on experience with Azure Data Factory, Synapse, Databricks, Azure ML, or
Cognitive Services.
- Familiarity with app development using .NET, Node.js, or Python in Azure environments.
- Microsoft certifications such as DP-203, AI-102, AZ-204 are strongly preferred.
- Strong technical problem-solving and partner engagement skills.

Excellent communication skills in English and at least one of the required languages (Japanese, Korean or Mandarin).