About the role
Job Title
Senior Data Engineering Expert
We are seeking a highly experienced Senior Data Engineering Expert with deep expertise in the Airline IT domain to lead the design, development, modernization, and governance of enterprise-scale data platforms and data integration ecosystems. The ideal candidate will possess extensive experience in building and managing batch and real-time data pipelines, large-scale ETL frameworks, cloud-based data platforms, and enterprise data management solutions supporting airline operations, customer experience, revenue management, commercial analytics, and regulatory reporting.
The role requires technical leadership in modern data engineering technologies including Databricks, Apache Spark (Scala), Delta Lake, Data Warehousing, Database Management Systems, Master Data Management (MDM), and enterprise data integration platforms.
Enterprise Data Platform Architecture
Define and implement enterprise-wide data architecture strategies supporting commercial, digital, customer, and operational business functions.
Design scalable, resilient, and secure data platforms that enable analytics, reporting, machine learning, and operational decision-making.
Lead the modernization of legacy data environments toward cloud-native Lakehouse architectures and enterprise data ecosystems.
Establish data engineering standards, architectural principles, governance frameworks, and best practices across the organization.
Airline Business Data Enablement
Design and implement scalable enterprise data architectures supporting Airline Commercial and Digital functions,
Reservations and Passenger Service Systems (PSS)
Revenue Management and Pricing
Loyalty Programs
Customer Relationship Management (CRM)
Customer Data Platforms (CDP)
Digital Engagement and Mobile Applications
Customer Analytics and Personalization
Commercial Performance and Regulatory Reporting
Data Engineering & Integration
Architect and develop scalable data ingestion, transformation, and serving layers supporting both batch and real-time processing requirements.
Design reusable and metadata-driven ETL/ELT frameworks capable of handling large volumes of transactional, operation…
