Automotive Data Applications Lead — Azure & Analytics

Robinson & Co (Singapore) Pte Ltd; Dubai; On-site; AED 250,000 - 350,000; Full time

Job summary

A leading diversified enterprise in Dubai is seeking a Data Application Manager. This pivotal role involves managing Azure-based data architectures and solutions while leading a high-performing team. Responsibilities include developing data application solutions, ensuring data integration and governance, and implementing analytics and reporting best practices. The ideal candidate has over 12 years of experience in Data Engineering and a strong understanding of the automotive business domain. Join us to drive continuous improvements in data operations and support advanced analytics initiatives.

Qualifications

• 12+ years of experience in Data Engineering and Analytics with expertise in implementation.
• Strong automotive business domain knowledge and experience with data management tools.

Responsibilities

• Define and operationalize data management capabilities across the Automotive division.
• Ensure integration of data from multiple systems into centralized platforms.
• Lead dashboard development for analytics and reporting.

Skills

Managing Azure-based data architectures

Analytical and problem-solving skills

Stakeholder engagement

Leadership and team management

Education

Bachelor's or Master’s degree in Information Technology or related discipline

Tools

Azure Data Factory

Databricks

SAP S/4

SAP BW

SAP BO

Job description

A leading diversified enterprise in Dubai is seeking a Data Application Manager. This pivotal role involves managing Azure-based data architectures and solutions while leading a high-performing team. Responsibilities include developing data application solutions, ensuring data integration and governance, and implementing analytics and reporting best practices. The ideal candidate has over 12 years of experience in Data Engineering and a strong understanding of the automotive business domain. Join us to drive continuous improvements in data operations and support advanced analytics initiatives.