Senior Azure Data Engineer - Pipelines, BI & Cloud

Mercedes-Benz Malaysia; Puchong; Hybrid; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Office in Puchong

Job summary

Mercedes-Benz Malaysia, a premier automotive tech hub, seeks an experienced Data Engineer to design, implement and optimize scalable Azure-based data solutions. You will build robust ETL/ELT pipelines, manage data models and governance, and collaborate with stakeholders to deliver enterprise analytics and reporting.

A hybrid work setup in Malaysia enables collaboration at Wisma Mercedes-Benz, Puchong. The role requires strong Python/PySpark, SQL skills and experience with Power BI, Databricks,

Qualifications

• Minimum 5 years of working experience in Data Engineering, Data Platform Engineering or related fields.
• For senior positions, minimum 7 to 10 years of relevant experience preferred.
• Degree in Computer Science, Information Technology, Data Engineering or related discipline.

Responsibilities

• Design, develop, and maintain scalable Data Engineering solutions on Microsoft Azure.
• Build and optimize data pipelines using Azure Databricks, Azure Data Factory and Azure Data Lake Storage.
• Develop robust ETL/ELT pipelines to process structured, semi-structured and unstructured datasets.
• Implement data models, data quality frameworks and governance controls to support enterprise analytics and reporting.
• Collaborate with business stakeholders, analysts and product teams to understand requirements and translate them into scalable technical solutions.
• Develop and maintain Power BI datasets, reporting layers and analytical data products.
• Build and support CI/CD pipelines using Azure DevOps and GitHub.
• Monitor, troubleshoot and optimize data platform performance, reliability and scalability.
• Implement security best practices including Azure Key Vault integration, role-based access controls and data governance standards.
• Contribute to system architecture design, documentation and technical knowledge sharing.
• You build it, you test it, you run it.

Skills

Data Engineering

Python/PySpark

SQL

Azure Cloud

Power BI

CI/CD

GitHub

Education

Bachelor's degree in Computer Science, IT, Data Engineering or related field

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Azure DevOps Pipelines

GitHub Actions

Job description

Mercedes-Benz Malaysia, a premier automotive tech hub, seeks an experienced Data Engineer to design, implement and optimize scalable Azure-based data solutions. You will build robust ETL/ELT pipelines, manage data models and governance, and collaborate with stakeholders to deliver enterprise analytics and reporting.

A hybrid work setup in Malaysia enables collaboration at Wisma Mercedes-Benz, Puchong. The role requires strong Python/PySpark, SQL skills and experience with Power BI, Databricks,