Corporate Application Operation Engineer

Lenovo; Kuala Lumpur; On-site; MYR 67,000 - 134,000; Full time

Job summary

Lenovo is seeking a highly motivated Business Intelligence (BI) Engineer with strong expertise in Microsoft Azure, Databricks, and Data Platform Operations to join our Data & Analytics team. You will maintain and optimize modern cloud-based data platforms, supporting data pipelines, ensuring platform reliability, and enabling business intelligence and analytics solutions.

You will work closely with Data Engineers, BI Developers, Analytics teams, and business stakeholders to deliver scalable,

Qualifications

• 1 to 3 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, Job Orchestration , Data Pipeline Development and Performance Optimization
• Good understanding of: Data Warehouses, Data Lakes, ETL/ELT Processes andData Integration Concepts
• Experience with monitoring and observability tools such as: Azure Monitor, Log Analytics, andDatadog
• Strong SQL skills and experience working with large datasets.
• Experience with Python and/or PySpark.
• Knowledge of data governance, data quality, and security best practices.
• Strong troubleshooting, problem-solving, and incident management skills.
• Excellent communication and stakeholder management skills.

Responsibilities

• Manage, monitor, and optimize Azure-based data platforms and Databricks environments.
• Develop, maintain, and troubleshoot ETL/ELT data pipelines that support reporting and analytics needs.
• Configure and administer Databricks clusters, jobs, workflows, and performance tuning activities.
• Ensure data platform availability, reliability, and scalability through proactive monitoring and automation.
• Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, Datadog, and other observability tools.
• Collaborate with BI and Data Engineering teams to design and support data models, data warehouses, and data lakes.
• Analyze and resolve production incidents, data quality issues, and platform performance bottlenecks.
• Support business intelligence initiatives by enabling trusted, high-quality data for reporting and analytics.
• Drive cloud cost optimization and performance improvement initiatives across data platforms.
• Participate in root cause analysis, documentation, and continuous improvement activities.
• Contribute to DataOps and AIOps practices through automation, predictive monitoring, and operational excellence.
• Ensure compliance with data governance, security, and organizational standards.

Skills

Microsoft Azure

Azure Databricks

SQL

Python

PySpark

Data governance

Data quality

Troubleshooting

Communication

Stakeholder management

Education

BCA

Tools

Datadog

Terraform

ARM Templates

Bicep

Datadog

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub .

Description and Requirements

Job Brief

We are seeking a highly motivated Business Intelligence (BI) Engineer with strong expertise in Microsoft Azure, Databricks, and Data Platform Operations to join our growing Data & Analytics team. In this role, you will be responsible for maintaining and optimizing modern cloud-based data platforms, supporting data pipelines, ensuring platform reliability, and enabling business intelligence and analytics solutions.

You will work closely with Data Engineers, BI Developers, Analytics teams, and business stakeholders to deliver scalable, secure, and high-performing data solutions that drive business insights and decision-making.

Key Responsibilities

• Manage, monitor, and optimize Azure-based data platforms and Databricks environments.
• Develop, maintain, and troubleshoot ETL/ELT data pipelines that support reporting and analytics needs.
• Configure and administer Databricks clusters, jobs, workflows, and performance tuning activities.
• Ensure data platform availability, reliability, and scalability through proactive monitoring and automation.
• Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, Datadog, and other observability tools.
• Collaborate with BI and Data Engineering teams to design and support data models, data warehouses, and data lakes.
• Analyze and resolve production incidents, data quality issues, and platform performance bottlenecks.
• Support business intelligence initiatives by enabling trusted, high-quality data for reporting and analytics.
• Drive cloud cost optimization and performance improvement initiatives across data platforms.
• Participate in root cause analysis, documentation, and continuous improvement activities.
• Contribute to DataOps and AIOps practices through automation, predictive monitoring, and operational excellence.
• Ensure compliance with data governance, security, and organizational standards.

Required Skills & Experience

• 1 to 3 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, Job Orchestration , Data Pipeline Development and Performance Optimization
• Good understanding of: Data Warehouses, Data Lakes, ETL/ELT Processes andData Integration Concepts
• Experience with monitoring and observability tools such as: Azure Monitor, Log Analytics, andDatadog
• Strong SQL skills and experience working with large datasets.
• Experience with Python and/or PySpark.
• Knowledge of data governance, data quality, and security best practices.
• Strong troubleshooting, problem-solving, and incident management skills.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Experience with AIOps for data platforms.
• Exposure to Azure Data Factory, Synapse Analytics, or Power BI.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Infrastructure as Code (Terraform, ARM Templates, or Bicep).
• Understanding of cloud cost optimization (FinOps).
• Microsoft Azure or Databricks certifications are a plus.

Education Qualification

• Bachelor's Degree in Computer Applications (BCA) is mandatory.

If you require an accommodation to complete this application, please [e-mail]