iToll is a leading provider of smart mobility, toll payment, and digital vehicle services. We process large-scale transactional and operational data to deliver reliable, fast, and user-friendly services to millions of users. 
We are looking for a Data Engineer to join our BI team and help us build a strong, scalable data foundation for analytics and decision-making across the company.

As a Data Engineer at iToll, you will design and maintain data pipelines, improve data quality, and collaborate with cross-functional teams to ensure data is accessible, accurate, and ready for analysis.

Responsibilities:

• Design and build reliable, scalable data pipelines
• Develop and maintain data models for analytics and reporting
• Integrate data from multiple internal and external sources
• Ensure data quality, consistency, and governance standards
• Monitor and optimize data systems for performance
• Collaborate with Product, Engineering, and BI teams to fulfill data needs 
  
  

  Requirements:

• Strong SQL skills and experience with ETL tools (preferably SSIS)
• Hands-on experience with data pipeline development and large databases
• Familiarity with Power BI and Python is a plus
• Strong problem-solving, attention to detail, and teamwork skills