Data Engineer

Data Engineer Office Location : Kuala Lumpur, MalaysiaType : Full-TimeAbout AxrossAt 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 OverviewWe’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, 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.Key ResponsibilitiesBuild and maintain scalable big data pipelines that handle large volumes of sensor and control dataDesign and operate a real-time data processing system that supports timely decision-makingIntegrate Kafka and Spark Streaming for low-latency, event-driven data streamingImplement cloud-based analytics solutions (AWS, Azure, GCP) to support advanced processingDevelop automated data quality checks to ensure high-quality, validated inputs and maintain the integrity of the data processed through the pipelineCollaborate with AI engineers, IoT engineers and software teams to support ingestion, model development and analyticsOptimize resource usage to reduce data processing costs and storage costsContinuously monitor, test, and tune systems for performance, cost-efficiency, and reliabilityImplement and maintain metadata managementWho We’re Looking For3–6+ 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 visualisation (eg. 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 buildingsApply now! If you're passionate about data infrastructure, energy optimization, and smart automation, we want to hear from you.📩 Send your CV to oza@axross.co (cc: admin@axross.co)