Streaming Data Engineer

Atome; Kuala Lumpur; On-site; MYR 90,000 - 120,000; Full time

Benefits offered by this job

Collaborative work environment

Opportunities for professional growth

Pivotal role in shaping the future

Job summary

Atome is seeking a Streaming Data Engineer based in Kuala Lumpur, Malaysia, to design scalable real-time data pipelines. This role involves developing high-throughput data systems and working with technologies such as Kafka and analytical databases. The ideal candidate has 3–6 years of experience and is proficient in Python, Java, Scala, or SQL. Atome offers a collaborative environment with opportunities for professional growth and development.

Qualifications

• 3–6 years of experience in Data Engineering or Backend Engineering.
• Experience with real-time analytical databases like Starrocks, Clickhouse, or Doris.
• Proficiency in Python, Java, Scala, and SQL.

Responsibilities

• Design and develop real-time streaming data pipelines.
• Build event ingestion systems using Kafka or similar messaging systems.
• Support real-time dashboards and data APIs.

Skills

Data Engineering

Backend Engineering

Real-time analytical databases

Streaming data technologies

Python

Java

Scala

SQL

Job description

Posted on 2026-04-07

Job List

About Us

Hytech is a global management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We empower our clients with comprehensive consulting solutions and robust middle- and back-office support, enabling streamlined operations and forward-thinking strategies.

With a team of over 2,000 professionals, Hytech serves a diverse portfolio of clients, including the world’s second-largest CFD trading platform and several leading cryptocurrency exchanges. Our global presence spans across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, and more.

About the Role

We are looking for a Streaming Data Engineer to design and build scalable real-time data pipelines and streaming data platforms. This role focuses on building high-throughput, low-latency data systems capable of processing large-scale event streams and enabling real-time analytics.

Key Responsibilities

• Design and develop real-time streaming data pipelines
• Build event ingestion systems using Kafka or similar messaging systems
• Develop scalable stream processing jobs
• Build and optimize real-time analytical databases
• Build and maintain data pipelines supporting both batch and streaming workloads
• Support real-time dashboards and data APIs
• Implement monitoring and alerting for streaming pipelines
• Work closely with Data Scientists, Data Analysts, Backend Engineers, and Platform Engineers

What We’re Looking For

• 3–6 years of experience in Data Engineering / Backend Engineering
• Experience with real-time analytical databases (Starrocks / Clickhouse / Doris)
• Experience with streaming data technologies (building distributed data systems)
• Proficiency in Python / Java / Scala / SQL

What We Offer

• A collaborative and inclusive work environment.
• Opportunities for professional growth and development.
• The chance to play a pivotal role in shaping the future of our organization.