Data Engineer

Senior Data Engineer
Location: Kuala Lumpur, Malaysia
Job ID: L67WRV3W
Work Mode: Onsite
Job Type: Permanent 

About the Company
Our client is a global industrial manufacturer with operations across multiple countries, investing heavily in digitalization and Industry 4.0 initiatives. They run a modern Azure-based data platform that collects and processes IoT factory data globally and work in distributed teams across Europe and Asia. Youll join a collaborative, international environment focused on building scalable data products and modern cloud architecture.

Were looking for a (Senior) Data Engineer to join a global Data Science & Engineering team supporting and evolving an Azure-based IoT data platform (Databricks, Airflow, Docker, Blob Storage, MongoDB). Youll help deliver reliable pipelines today and support future modernization efforts involving Azure EventHub, Databricks, and Kafka.

What You'll Do

• Develop and maintain robust data pipelines to ingest and transform factory and IoT data
• Contribute to platform improvements: automation, CI/CD, data governance, and monitoring
• Solve technical challenges and implement scalable, efficient features
• Support upcoming migrations to technologies such as Databricks, Azure EventHub, and Kafka
• Collaborate across distributed teams (Malaysia, Poland, Denmark) and communicate with global stakeholders
• Document solutions and promote knowledge sharing across teams

What You Bring
Must-have:

• 3–5+ years of experience in Data Engineering (ETL, data integration, data warehousing)
• Proficiency in Databricks and Apache Spark
• Solid experience with Azure cloud services
• Strong programming skills in Python
• Familiarity with DevOps/DataOps practices
• Strong English communication skills (C1 level)
• Self-driven, proactive, and able to deliver independently

Nice-to-have / Big advantages:

• Experience with MongoDB or other NoSQL databases
• Knowledge of Airflow (or similar orchestration tools)
• Docker and containerization experience
• Databricks advanced features (e.g., Unity Catalog, Delta Live Tables (DLT))
• Strong SQL + on-prem/cloud database management experience
• Git (preferably GitHub) and version control best practices
• Modern data architecture concepts (data lakes, data vaults, warehouses)
• Infrastructure-as-Code (preferably Terraform)
• Familiarity with DBT, Snowflake, or Kafka
• Experience with Scrum/Kanban and tools like Jira
• Ability to gather requirements independently and work with business users
• Experience in international, cross-functional teams

Apply Now: http://www.careers-page.com/oxy/job/L67WRV3W
Reach out: swamy@oxydata.my | +60–1111406181
Explore more roles: https://oxydata.my/jobs/

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