Data Engineer

7 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Axross (YC W22) Full time

Data Engineer

Office Location :
Kuala Lumpur, Malaysia

Type :
Full-Time

About Axross

At
Axross
, we develop
A
I-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, 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.

Send your CV to

(cc:

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