Job Title: Data Engineer Location: Kuala Lumpur About Our Client : Axross is a technology company focused on transforming industrial HVAC and energy systems through AI-powered optimization platforms. Serving clients in pharmaceuticals, semiconductors, precision manufacturing, and other energy-intensive sectors, Axross enables smarter, greener decision-making by leveraging real-time data from IoT devices, sensors, and Building Management Systems (BMS). By combining AI, cloud computing, and real-time analytics, Axross helps organizations reduce energy waste, lower operational costs, and achieve greater sustainability. Our platforms are designed to support mission-critical operations, delivering high-impact results in complex industrial environments. Key Responsibilities Build and maintain scalable, high-volume data pipelines from IoT devices, BMS, and sensors Design and operate real-time streaming systems for low-latency decision-making Integrate technologies like Kafka, Spark Streaming , and Delta Lake into a unified architecture Implement cloud-based analytics solutions (AWS, Azure, or GCP) Ensure high data quality and integrity through automated checks and validations Collaborate with AI, IoT, and software engineering teams to support data ingestion and model development Optimize systems for performance, cost-efficiency , and scalability Manage metadata and data cataloging for clean, accessible data Contribute to live dashboards and visualizations that empower operational teams Requirements 3-6+ years of experience in data engineering or data infrastructure Strong expertise in Spark, Python, and SQL Hands-on experience with Kafka, Spark Streaming, Delta Lake, Databricks (DLT), and Azure Synapse Proven ability to build scalable ETL pipelines and manage large data sets Experience in cloud platforms : AWS, Azure, or GCP Familiarity with data visualization tools (Apache Superset, Power BI, or Tableau) Experience with version control systems (Git) Strong focus on data quality, schema validation , and clean data delivery Track record of delivering efficiency improvements in data workflows Excellent collaboration skills across engineering and AI teams Show more Show less