Data Engineer: AI-Driven Data & Automation Lead

Etihad Airways

Al Ain

On-site

AED 180,000 - 300,000

Full time

4 hours ago
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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

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

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