Data Engineer

Job Title : Data Engineer

Location : Kuala Lumpur

About Our Client :

Axross is a technology company focused on transforming industrial HVAC and energy systems through AI-powered optimization platforms. Serving clients in pharmaceuticals, semiconductors, precision manufacturing, and other energy-intensive sectors, Axross enables smarter, greener decision-making by leveraging real-time data from IoT devices, sensors, and Building Management Systems (BMS).

By combining AI, cloud computing, and real-time analytics, Axross helps organizations reduce energy waste, lower operational costs, and achieve greater sustainability. Our platforms are designed to support mission-critical operations, delivering high-impact results in complex industrial environments.

Key Responsibilities

• Build and maintain scalable, high-volume

data pipelines

from IoT devices, BMS, and sensors

real-time streaming systems

for low-latency decision-making

Kafka, Spark Streaming

, and

Delta Lake

into a unified architecture

cloud-based analytics solutions

(AWS, Azure, or GCP)

high data quality and integrity

through automated checks and validations

performance, cost-efficiency

, and

scalability

metadata

and data cataloging for clean, accessible data

Requirements

data engineering

or

data infrastructure

Spark, Python, and SQL

Kafka, Spark Streaming, Delta Lake, Databricks (DLT), and Azure Synapse

ETL pipelines

and manage large data sets

cloud platforms

: AWS, Azure, or GCP

data visualization tools

(Apache Superset, Power BI, or Tableau)

version control systems

(Git)

data quality, schema validation

, and clean data delivery

efficiency improvements

in data workflows