Data Engineer

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

Job summary

A technology startup in Kuala Lumpur is seeking a Mid-Level Data Engineer to design and maintain scalable data pipelines that power analytics and business intelligence initiatives. The ideal candidate should have expertise in Databricks, Apache Spark, and hands-on experience with Python and SQL. This role involves collaborating with cross-functional teams to deliver reliable data solutions, ensuring data quality through innovative practices. A Bachelor's Degree and professional proficiency in English are required.

Qualifications

• Experience with cloud-based data platforms and distributed data processing.
• Professional working proficiency in English (B2+).

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Transform and manage large datasets while ensuring data quality.
• Collaborate with cross-functional teams to deliver reliable data solutions.

Skills

Databricks & Apache Spark expertise

Hands-on coding experience in Python

SQL knowledge

Education

Bachelor’s Degree

Job description

Company

The company is a startup registered in the United Arab Emirates, operating as a feedback and engagement technology company. It was founded around 2022 and focuses on providing tools for collecting customer and employee insights.

Job Overview

We are looking for a Mid‑Level Data Engineer to design, build, and maintain scalable data pipelines that power analytics and business intelligence initiatives. You will work with Databricks, Apache Spark, Python, and cloud platforms to transform and manage large datasets, ensure data quality, and collaborate with cross‑functional teams to deliver reliable data solutions.

Team

You will be part of a collaborative, cross‑functional data engineering team that values innovation, best practices, and continuous learning. The team works closely with analytics, engineering, and business stakeholders to deliver high‑quality, scalable data solutions, while fostering a supportive environment for knowledge sharing and professional growth.

Required Skills

• Databricks & Apache Spark expertise
• Hands‑on coding experience in Python, SQL (Scala is a plus)
• Experience with cloud‑based data platforms and distributed data processing

Qualifications

• Professional working proficiency in English (B2+)

Education

Bachelor’s Degree