Location: Petaling Jaya Selangor Malaysia Work Mode: Onsite
Employment type: Permanent
Oxydata Software Sdn Bhd established since 2012 helping regional enterprises drive digital transformation through Agentic AI Services AI Automation & Integration Data Engineering AI Training and IT Managed Services. We are a lean high-impact team where engineers work directly on cutting-edge AI products serving enterprise clients across Malaysia and the region.
We are seeking an experienced Data Engineer to design build and maintain data pipelines and infrastructure that power our analytics and AI-driven products.
Responsibilities
Design build and maintain scalable batch and streaming data pipelines (ETL/ELT).
Ingest and integrate data from diverse internal and external sources including APIs databases files and event streams.
Model and structure data in the data warehouse to support analytics and reporting needs.
Ensure data quality reliability and observability through testing validation and monitoring.
Optimize queries storage and pipeline performance to improve efficiency and reduce latency.
Collaborate with data scientists and analysts to productionise models and deliver clean well-documented datasets.
Implement and uphold data governance security and privacy best practices.
Document data flows schemas and pipeline logic for the wider team.
Requirements
Must-have:
Degree in Computer Science Engineering Information Systems or a related field.
Open to Malaysian candidates only.
3 years of experience in a data engineering or backend data role.
Strong proficiency in SQL and Python.
Hands-on experience building ETL/ELT pipelines and working with data warehouses (e.g. BigQuery Snowflake Redshift or PostgreSQL).
Experience with workflow orchestration tools (e.g. Airflow dbt Dagster).
Familiarity with cloud platforms (AWS GCP or Azure) and version control (Git).
Solid understanding of data modelling warehousing concepts and performance tuning.
Good communication skills and the ability to work onsite as part of a collaborative team.
Nice-to-have:
Experience with streaming technologies such as Kafka Spark or Flink.
Exposure to containerisation and CI/CD tools (Docker Kubernetes GitHub Actions).
Experience supporting machine-learning workflows and feature pipelines.
Familiarity with infrastructure-as-code tools like Terraform.
Education:
Degree in Computer Science Engineering Information Systems or a related field.
Why Join Us
Competitive salary and a permanent full-time position.
A collaborative onsite team environment in Kuala Lumpur.
Opportunities to work on modern data platforms and AI-driven products.
Room to grow technically and take ownership of the data platform.
Apply Now:
Data Engineer Location: Petaling Jaya Selangor Malaysia Work Mode: Onsite Employment type: Permanent Oxydata Software Sdn Bhd established since 2012 helping regional enterprises drive digital transformation through Agentic AI Services AI Automation & Integration Data Engineering AI Training and IT M...
Data Engineer
Location: Petaling Jaya Selangor Malaysia Work Mode: Onsite
Employment type: Permanent
Oxydata Software Sdn Bhd established since 2012 helping regional enterprises drive digital transformation through Agentic AI Services AI Automation & Integration Data Engineering AI Training and IT Managed Services. We are a lean high-impact team where engineers work directly on cutting-edge AI products serving enterprise clients across Malaysia and the region.
We are seeking an experienced Data Engineer to design build and maintain data pipelines and infrastructure that power our analytics and AI-driven products.
Responsibilities
Design build and maintain scalable batch and streaming data pipelines (ETL/ELT).
Ingest and integrate data from diverse internal and external sources including APIs databases files and event streams.
Model and structure data in the data warehouse to support analytics and reporting needs.
Ensure data quality reliability and observability through testing validation and monitoring.
Optimize queries storage and pipeline performance to improve efficiency and reduce latency.
Collaborate with data scientists and analysts to productionise models and deliver clean well-documented datasets.
Implement and uphold data governance security and privacy best practices.
Document data flows schemas and pipeline logic for the wider team.
Requirements
Must-have:
Degree in Computer Science Engineering Information Systems or a related field.
Open to Malaysian candidates only.
3 years of experience in a data engineering or backend data role.
Strong proficiency in SQL and Python.
Hands-on experience building ETL/ELT pipelines and working with data warehouses (e.g. BigQuery Snowflake Redshift or PostgreSQL).
Experience with workflow orchestration tools (e.g. Airflow dbt Dagster).
Familiarity with cloud platforms (AWS GCP or Azure) and version control (Git).
Solid understanding of data modelling warehousing concepts and performance tuning.
Good communication skills and the ability to work onsite as part of a collaborative team.
Nice-to-have:
Experience with streaming technologies such as Kafka Spark or Flink.
Exposure to containerisation and CI/CD tools (Docker Kubernetes GitHub Actions).
Experience supporting machine-learning workflows and feature pipelines.
Familiarity with infrastructure-as-code tools like Terraform.
Education:
Degree in Computer Science Engineering Information Systems or a related field.
Why Join Us
Competitive salary and a permanent full-time position.
A collaborative onsite team environment in Kuala Lumpur.
Opportunities to work on modern data platforms and AI-driven products.
Room to grow technically and take ownership of the data platform.