AI & Data Engineer - Al Ain-based
Etihad Airways
منشورة على صفحة وظائف Etihad Airways
هل هذه وظيفتك؟ طالب بها: انشرها هنا باسم شركتك، فيصل المتقدمون إلى لوحة التحكم.
طالب بهذه الوظيفةالراتب غير مذكور في الإعلان
- أبوظبي
- دوام كامل
- Not Applicable
- تقنية المعلومات والبرمجيات
- نُشرت 26 أكتوبر
عن الوظيفة
Company Description
Job Description
Come join our Centre of Excellence in Al Ain as a Data engineer supporting the team with development, maintenance, and enhancement of enterprise data solutions across airline back-office functions. The role focuses on transforming operational and financial data into actionable business insights while supporting automation, AI-driven initiatives, and process improvement programs.
The incumbent will work closely with business stakeholders, process owners, finance teams, and technology teams to build scalable data pipelines, reporting solutions, dashboards, and automation capabilities that improve operational efficiency, data quality, process controls, and decision-making across the organization.
Accountabilities
- Consolidate and manage enterprise data, developing scalable data models and automated reporting solutions to support operational, financial, and strategic decision-making.
- Ensure the integrity, accuracy, security, and availability of business-critical data, enabling reliable management reporting, regulatory compliance, and informed decision-making across the organization.
- Develop and support KPI dashboards, real-time performance monitoring tools, and advanced analytics solutions across back-office operations, providing actionable insights to enhance operational efficiency, service delivery, and business performance.
- Drive process transformation by identifying and implementing automation opportunities through RPA, AI agents, workflow automation, and low-code solutions, partnering with business stakeholders to redesign processes, eliminate manual interventions, and enhance operational efficiency across finance and administrative functions.
- Partner with operational teams to drive continuous improvement initiatives by identifying process inefficiencies, performing root cause analysis, implementing sustainable solutions, and delivering productivity gains, cost optimization, and enhanced service quality through data-driven process improvement methodologies
- Develop and maintain business intelligence dashboards, analytics, and reporting solutions that provide actionable insights into operational performance, process efficiency, workload trends, and strategic decision-making.