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Data Engineer – Smart HVAC & Energy Systems

bipiGeorge Town, Penang, Malaysia

14 jam yang lalu

Penerangan pekerjaan

Join to apply for the Data Engineer – Real Time Data role at bipi

This range is provided by bipi. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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 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 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 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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

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Engineer Data • George Town, Penang, Malaysia