Azure Data Engineer - ETL, BI & Analytics

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

Job summary

Mercedes-Benz Tech Malaysia (MBTMY) is seeking a data engineering professional to design, build and maintain scalable data solutions on Azure. You will develop ETL/ELT pipelines and data models, ensure data quality, and collaborate with stakeholders to deliver analytics products.

The role involves managing CI/CD pipelines with Azure DevOps and GitHub, optimizing performance, and upholding security best practices while working in a hybrid environment at the Wisma Mercedes-Benz office in Puchong.

Qualifications

• Minimum 5 years in Data Engineering / related fields.
• Senior roles prefer 7–10 years of experience.
• Degree in CS/IT/Data Eng 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 ETL/ELT pipelines for structured, semi-structured and unstructured data.
• Implement data models, data quality frameworks and governance controls.
• Collaborate with stakeholders to translate requirements into scalable solutions.
• Develop and maintain Power BI datasets and analytical data products.
• Build and support CI/CD pipelines using Azure DevOps and GitHub.
• Monitor and optimize data platform performance, reliability and security.

Skills

SQL

Python/PySpark

ETL/ELT pipelines

Data modeling

Data quality

Stakeholder management

Communication skills

Independence with collaboration

Education

Degree in Computer Science, Information Technology, Data Engineering or related discipline

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

GitHub

GitHub Actions

Azure CLI

Databricks CLI

Databricks Workflows

Power BI

Terraform

Docker

Job description

Mercedes-Benz Tech Malaysia (MBTMY) is seeking a data engineering professional to design, build and maintain scalable data solutions on Azure. You will develop ETL/ELT pipelines and data models, ensure data quality, and collaborate with stakeholders to deliver analytics products.

The role involves managing CI/CD pipelines with Azure DevOps and GitHub, optimizing performance, and upholding security best practices while working in a hybrid environment at the Wisma Mercedes-Benz office in Puchong.