Azure Data Engineer & BI Specialist

Sime Motors NZ; Petaling Jaya; On-site; MYR 110,000 - 190,000; Full time

Job summary

Sime Darby Auto Bavaria Sdn. Bhd. is seeking a Technology Specialist - Data Engineer in SDM Ara Damansara (Headquarters) to design and manage data pipelines and dashboards.

You will ensure data quality, governance, and scalable data solutions across Azure data services, with a focus on transforming data into actionable insights. The role requires experience with Azure Data Lake, Data Factory, Data Warehouse, Power BI, and strong SQL/API/JSON proficiency.

Qualifications

• Relevant qualification (Diploma/degree) in a business-related area.
• Minimum 2 years’ experience in BI reporting, especially Power BI.
• Minimum 5 years’ experience with Azure Data Lake, Data Factory and Data Warehouse.
• Experience with data visualisation techniques and designs.
• Experience in automated data visuals production and timely data delivery.

Responsibilities

• Deliver technology to meet business requirements.
• Data integration and maintenance.
• Create new data pipelines and monitor existing ones.
• Proficient in APIs, JSON and SQL.
• Data quality and governance: implement standards and policies.
• Infrastructure management: monitor and manage Azure Data Warehouse.
• Develop Power BI reports and dashboards.
• Automate data extraction, transformation, loading processes.

Skills

Data analysis

Data governance

Data modelling

SQL

API integration

Azure data services

Education

Diploma / degree in business

Tools

Power BI

QlikSense

JSON

API

SQL

Azure Data Lake

Azure Data Factory

Azure Data Warehouse

DevOps on Azure

Job description

Sime Darby Auto Bavaria Sdn. Bhd. is seeking a Technology Specialist - Data Engineer in SDM Ara Damansara (Headquarters) to design and manage data pipelines and dashboards.

You will ensure data quality, governance, and scalable data solutions across Azure data services, with a focus on transforming data into actionable insights. The role requires experience with Azure Data Lake, Data Factory, Data Warehouse, Power BI, and strong SQL/API/JSON proficiency.