Data Engineer - Al Ain-based

Etihad Airways; Al Ain; On-site; AED 180,000 - 300,000; Full time

Job summary

Etihad Airways invites you to join our Centre of Excellence in Al Ain as a Data Engineer. You will develop scalable data pipelines, dashboards, and reporting solutions to transform operational and financial data into actionable insights.

You’ll support automation, AI-driven initiatives, and process improvements across back-office functions. You will collaborate with stakeholders from finance, operations, and technology to ensure data integrity, security, and availability while enabling informed

Qualifications

• Bachelor's degree in CS/Data-related field is required.
• 4–5 years of experience in Data Engineering, BI, Analytics, Automation, or Digital Transformation.
• Experience in airline/aviation or large enterprise environments is a plus.

Responsibilities

• Consolidate and manage enterprise data with scalable models and automated reporting.
• Develop KPI dashboards and real-time monitoring tools.
• Support automation initiatives through RPA and AI-driven solutions.
• Partner with business and tech teams to drive data quality and process improvements.
• Build data pipelines and reporting solutions for operational and financial decision making.

Skills

Data modeling

ETL/ELT design

Dashboarding

Automation

Education

Bachelor's degree in Computer Science / Data-related field

Data Analytics or AI/Automation certification (desirable)

Tools

Power BI

Tableau

Python

SQL

Azure Data Factory

Databricks

Power Query

UiPath / RPA tools

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.
• Support the development and deployment of AI-driven solutions, AI agents, and knowledge repositories that automate transactional activities, enhance process guidance, improve data validation, and enable intelligent decision-making across finance and operational functions.

Qualifications

• Bachelor's Degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, Business Analytics, or related field.
• Certification in Data Analytics, Power BI, Azure Data Engineering, AI, Automation, or related disciplines is desirable.

Experience

• 4-5 years of experience in Data Engineering, Business Intelligence, Data Analytics, Automation, or Digital Transformation.
• Experience working in airline, aviation, finance operations, shared services, or large enterprise environments is preferred.

Technical Skills

• SQL and database management.
• Power BI, Tableau, or equivalent visualization platforms.
• Python, SQL, Power Query, or related data engineering tools.
• Understanding of ETL/ELT processes and data warehouse concepts.
• Knowledge of Azure Data Factory, Microsoft Fabric, Databricks, or cloud-based data platforms.
• Familiarity with RPA tools such as Power Automate, UiPath, or Automation Anywhere.
• Basic understanding of AI, Machine Learning, Generative AI, and AI Agent frameworks.

Additional Information

Etihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.