Data Engineer: Scalable Pipelines, AI & Cloud

Ipsos Sdn Bhd; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Benefits offered by this job

Medical Dental Parking Vision Wellness

Learning Subsidy

Job summary

Ipsos Sdn Bhd is seeking a Data Engineer with 1-3 years of experience to shape data management and analytics capabilities. You will engineer, deploy, and maintain modern data pipelines and AI-enabled solutions across diverse datasets and client engagements.

You will work with Python, Docker, Google Cloud Platform, AWS, Azure, and Tableau to deliver scalable data processing workflows. English fluency is required.

Qualifications

• Degree or Master in Computer Science, Information Systems / Business Informatics or related quantitative discipline.

Responsibilities

• Scale and automate data pipelines for large-scale multi-country engagements.
• Integrate multi-source data streams from surveys and client data warehouses.
• Work with a modern engineering stack (Python, Docker, cloud services, Tableau).
• Deliver production-grade analytics and AI-driven solutions on the platform.
• Provide internal consulting on data workflows and platform capabilities.

Skills

Python

SQL

ETL/ELT

Data Engineering

Data Science

English

APIs

Pandas/Numpy

Docker

Tableau

GCP

AWS

Azure

Education

Degree or Master in CS/IS/BI

Tools

Tableau

Google Cloud Platform

AWS

Azure

Job description

Ipsos Sdn Bhd is seeking a Data Engineer with 1-3 years of experience to shape data management and analytics capabilities. You will engineer, deploy, and maintain modern data pipelines and AI-enabled solutions across diverse datasets and client engagements.

You will work with Python, Docker, Google Cloud Platform, AWS, Azure, and Tableau to deliver scalable data processing workflows. English fluency is required.