Location: Malaysia (Hybrid)

Company: Axross Pte Ltd

Type: Full-Time

At Axross, we develop AI-powered HVAC optimization platforms that help industrial clients — including those in pharmaceuticals, semiconductors, and precision manufacturing — monitor, control, and reduce their energy usage. Our systems rely on high-quality, real-time data from IoT devices, sensors and BMS, which power smarter, greener decisions for our clients.

We’re looking for a skilled Senior Data Engineer to build a scalable big data processing platform that enables real-time decision-making and AI-powered automation. You'll design systems that handle large-scale data processing, ensure high data quality, optimizing resource usage and reduce cost, and support cross-functional teams with actionable insights. Your work will directly contribute to improving energy efficiency and improve data visibility with real-time dashboard, — all while helping us achieve our mission of making industrial HVAC systems smarter.

• Build and maintain scalable big data pipelines that handle large volumes of sensor and control data
• Design and operate a real-time data processing system that supports timely decision-making
• Integrate Kafka and Spark Streaming for low-latency, event-driven data streaming
• Implement cloud-based analytics solutions (AWS, Azure, GCP) to support advanced processing
• Develop automated data quality checks to ensure high-quality, validated inputs and maintain the integrity of the data processed through the pipeline 
• Collaborate with AI engineers, IoT engineers and software teams to support ingestion, model development and analytics
• Optimize resource usage to reduce data processing costs and storage costs
• Continuously monitor, test, and tune systems for performance, cost-efficiency, and reliability
• Implement and maintain metadata management

• 3–6+ years of experience in big data engineering or data infrastructure roles
• Hands-on expertise in large-scale data processing, ETL pipelines, and cloud-based storage
• Expertise in Spark, Python and SQL
• Experience in Spark Streaming, Kafka, Delta Lakehouse, Databricks (DLT) and Azure Synapse
• Experience in data visualisation (eg. Apache Superset, Tableau and Power BI.)
• Experience with version control system (Git)
• Solid background in cloud computing (AWS, GCP, Azure) and scalable infrastructure
• Strong understanding of data quality systems and schema validation
• Proven track record of delivering efficiency improvements (e.g., 40%+ in data processing)
• Ability to work across engineering and AI teams to deliver clean, production-ready data

• Drive real energy impact through data in mission-critical industrial settings
• Be part of a team focused on optimizing HVAC performance with AI, IoT, and automation
• Work on systems that process large industrial data and power live decision-making
• Help us significantly reduce client costs and energy waste through smart tech
• Enjoy a collaborative, fast-moving environment with growth and learning opportunities
• Competitive salary, flexibility, and the chance to shape the future of smart buildings

If you're passionate about data infrastructure, energy optimization, and smart automation, we want to hear from you.

📩 Send your CV to [email protected] (cc: [email protected])