Data Engineer - Real-Time Pipelines & ML Ops

Michael Page; Kuala Lumpur; On-site; MYR 84,000 - 114,000; Full time

Job summary

A leading global recruitment agency is looking for a Data Engineer to join a technology-driven environment in Kuala Lumpur, Malaysia. You will build and optimize data pipelines using tools like Databricks and Azure Data Factory, and play a pivotal role in the integration of diverse data sources. The position offers a competitive salary, global exposure through teamwork, and flexible arrangements to ensure work-life balance. Ideal candidates should have a degree in Computer Science and at least 4 years of relevant experience.

Benefits

Competitive salary range from MYR 84000 to MYR 114000 annually

Global exposure through collaboration with international teams

Flexible work arrangements

Continuous learning opportunities

Permanent role with growth pathways

Inclusive and innovative culture

Qualifications

• 4+ years of experience in data engineering or related roles.
• Strong programming skills in Python, Scala, or Java (Spark preferred).
• Hands-on experience with Big Data tools such as Databricks and Azure Data Factory.

Responsibilities

• Build and optimize data pipelines for real-time and batch processing.
• Integrate data from diverse sources, including Snowflake and Azure Synapse.
• Drive innovation through proof-of-concepts for emerging data technologies.

Skills

Python

Data Engineering

Azure Data Factory

Databricks

Spark

SQL

MLOps

Docker

Kubernetes

Education

Degree in Computer Science or related field

Tools

AWS

GCP

CI/CD

Infrastructure-as-Code (IaC)

Job description

A leading global recruitment agency is looking for a Data Engineer to join a technology-driven environment in Kuala Lumpur, Malaysia. You will build and optimize data pipelines using tools like Databricks and Azure Data Factory, and play a pivotal role in the integration of diverse data sources. The position offers a competitive salary, global exposure through teamwork, and flexible arrangements to ensure work-life balance. Ideal candidates should have a degree in Computer Science and at least 4 years of relevant experience.