Azure Data Engineer: Databricks, Power BI & Data Pipelines

Mercedes-Benz Malaysia; Puchong; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

Mercedes-Benz Tech Malaysia (MBTMY) seeks a Data Engineer to design, build and maintain scalable data solutions on Microsoft Azure, supporting analytics across the value chain.

You will work with Azure Databricks, Data Factory and Data Lake, develop ETL/ELT pipelines, implement data models and governance, and collaborate with stakeholders to deliver reliable data products and dashboards in Power BI.

Qualifications

• Degree in Computer Science, Information Technology, Data Engineering or related discipline.
• Minimum 5 years of experience in Data Engineering, Data Platform Engineering or related fields.
• Senior positions prefer 7–10 years of relevant experience.

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 for structured, semi-structured and unstructured data.
• Implement data models, data quality frameworks and governance controls for analytics & reporting.
• Collaborate with stakeholders, analysts and product teams to translate requirements into scalable 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.

Skills

Analytical thinking

Problem solving

Stakeholder management

Independent working

Product-oriented mindset

Communication skills

Education

Degree in Computer Science/IT/Data Engineering

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Power BI

GitHub/Azure Repos

Jira & Confluence

Databricks Workflows

Job description

Mercedes-Benz Tech Malaysia (MBTMY) seeks a Data Engineer to design, build and maintain scalable data solutions on Microsoft Azure, supporting analytics across the value chain.

You will work with Azure Databricks, Data Factory and Data Lake, develop ETL/ELT pipelines, implement data models and governance, and collaborate with stakeholders to deliver reliable data products and dashboards in Power BI.