Data Engineer

uild the Data Infrastructure Behind Smarter Industrial Decisions

Our client is a technology company helping industrial organisations monitor, control, and reduce energy consumption through AI-powered platforms. As a Data Engineer based in Kuala Lumpur, you'll be at the heart of their data platform - building the pipelines that transform raw IoT and sensor data into real-time insights that drive meaningful outcomes.

Why Apply?

This is more than a data engineering role - it's a chance to work on systems with tangible real-world impact across energy efficiency and industrial sustainability. You'll partner closely with AI, IoT, and software engineers in a fast-moving environment, with EPF and SOCSO support, in a permanent position that offers genuine long-term opportunity.

The Role

Designing and maintaining the data infrastructure that powers real-time decision-making across mission-critical industrial systems.

• Build and maintain scalable pipelines to process high volumes of sensor and IoT data
• Develop real-time streaming solutions using Kafka and Spark Streaming
• Deploy and manage cloud analytics across AWS, Azure, and GCP environments
• Create automated data quality and validation frameworks to maintain pipeline integrity
• Collaborate with AI, IoT, and software teams on data ingestion, model support, and analytics delivery
• Monitor, tune, and optimise systems for cost-efficiency, performance, and reliability

What We're Looking For

A technically strong data engineer who takes pride in reliability, clean data, and delivering production-ready infrastructure at scale.

• 3-6+ years of experience in big data engineering or data infrastructure roles
• Solid hands-on skills in Spark, Python, and SQL, with a strong ETL background
• Proven experience with Kafka, Spark Streaming, Delta Lakehouse, Databricks DLT, and Azure Synapse
• Cloud computing proficiency across AWS, GCP, and/or Azure, with scalable infrastructure experience
• Familiarity with data visualisation tools such as Power BI, Tableau, or Apache Superset
• Strong grasp of data quality systems, schema validation, and version control using Git

If you're ready to make a real impact through data, apply now.

JTK Number: JTKSM 995 | Company Registration Number: 201301019088 (1048918-T)