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Base pay range
$1,500.00 / yr - $3,000.00 / yr
Job Title : Data Engineer – Real Time Data
Location : Kuala Lumpur, Malaysia (Hybrid)
Company : Axross Pte Ltd
Type : Full-Time
About Axross
At Axross, we develop AI-powered HVAC optimization platforms that help industrial clients, including those in pharmaceuticals, semiconductors, and precision manufacturing, to 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.
Role Overview
We’re looking for a skilled 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, optimize 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.
Key Responsibilities
- 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
Who We’re Looking For
3–6+ years of experience in big data engineering or data infrastructure rolesHands-on expertise in large-scale data processing, ETL pipelines, and cloud-based storageExpertise in Spark, Python, and SQLExperience in Spark Streaming, Kafka, Delta Lakehouse, Databricks (DLT), and Azure SynapseExperience in data visualization (e.g., Apache Superset, Tableau, and Power BI)Experience with version control system (Git)Solid background in cloud computing (AWS, GCP, Azure) and scalable infrastructureStrong understanding of data quality systems and schema validationProven 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 dataWhy Join Axross?
Drive real energy impact through data in mission-critical industrial settingsBe part of a team focused on optimizing HVAC performance with AI, IoT, and automationWork on systems that process large industrial data and power live decision-makingHelp us significantly reduce client costs and energy waste through smart techEnjoy a collaborative, fast-moving environment with growth and learning opportunitiesCompetitive salary, flexibility, and the chance to shape the future of smart buildingsSeniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Internet Marketplace Platforms
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