Azure Databricks BI Engineer - Data Platform Ops

Lenovo; Kuala Lumpur; On-site; MYR 90,000 - 150,000; Full time

Job summary

Lenovo Malaysia seeks a highly motivated BI Engineer with strong expertise in Microsoft Azure, Databricks, and Data Platform Operations to maintain and optimize cloud-based data platforms. You will support data pipelines, ensure platform reliability, and enable business intelligence and analytics solutions.

You will collaborate with Data Engineers, BI Developers, analytics teams, and stakeholders to deliver scalable, secure data solutions that drive insights and decision-making.

Qualifications

• 2–4 years of professional experience in Cloud Operations, Data Engineering, BI Engineering, or Data Platform Support.
• Strong hands-on experience with Microsoft Azure services.
• Minimum 1 year of experience with Azure Databricks, including cluster management and data pipelines.
• Good understanding of Data Warehouses, Data Lakes, ETL/ELT processes and data integration concepts.

Responsibilities

• Manage, monitor, and optimize Azure-based data platforms and Databricks environments.
• Develop, maintain, and troubleshoot ETL/ELT data pipelines supporting reporting and analytics.
• Configure and administer Databricks clusters, jobs, workflows, and performance tuning.
• Ensure data platform availability, reliability, and scalability through proactive monitoring and automation.
• Collaborate with BI and Data Engineering teams to design data models, data warehouses, and data lakes.
• Analyze and resolve production incidents, data quality issues, and platform performance bottlenecks.

Skills

Azure

Databricks

SQL

Python/PySpark

Data Warehouses

Data Lakes

ETL/ELT

Monitoring/Observability

CI/CD/DevOps

Terraform/IaC

Education

BCA (Bachelor's Degree in Computer Applications)

Tools

Azure Monitor

Log Analytics

Datadog

Azure Data Factory

Synapse Analytics

Power BI

Terraform/ARM/Bicep

Job description

Lenovo Malaysia seeks a highly motivated BI Engineer with strong expertise in Microsoft Azure, Databricks, and Data Platform Operations to maintain and optimize cloud-based data platforms. You will support data pipelines, ensure platform reliability, and enable business intelligence and analytics solutions.

You will collaborate with Data Engineers, BI Developers, analytics teams, and stakeholders to deliver scalable, secure data solutions that drive insights and decision-making.