Data Engineer

About Axross Pte Ltd

AI-driven HVAC control system for improved energy performance

Tech

Artificial Intellegence Machine Learning Digital Twin Simulation Computational Fluid Dynamics Cloud-based Platform

The role

### **About Axross**At **Axross**, we develop **AI-powered HVAC optimization platforms** that help industrial clients, including those in **pharmaceuticals, semiconductors, and precision manufacturing** - tomonitor, 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**, 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 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 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### **Why Join Axross?*** 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### **Apply Now!**If you're passionate about **data infrastructure, energy optimization**, and smart automation, we want to hear from you.

Skills

• Microsoft Azure
• Python
• SQL
• Spark
• Hadoop
• Data Warehousing
• ETL
• Kafka
• Internet of Things (IoT)