Etihad AirwaysAI & Data Engineer - Al Ain-based
Etihad Airways is hiring an AI & Data Engineer - Al Ain-based . Level rates it ; you can apply on Etihad Airways.
Level's read on this job
- Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Databricks, Rpa and Python.
- Level classifies it as a mid-level role.
- Level lists 97 other open roles at Etihad Airways.
- The role was posted in the last few days.
AI in this role
Design enterprise data solutions, automated pipelines, and AI-driven automation tools to enhance operational efficiency and reporting.
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.
• 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.
Advert expires Friday 6th November
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.
To learn more visit www.etihad.com
Recruitment Fraud Alert
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
How we rate this
AI & Data Engineer - Al Ain-based at Etihad Airways rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Data Engineering, Automation, Business Intelligence, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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