Senior Data Engineering Expert📣 إعلان

About the Role

Amadeus is seeking a highly experienced Senior Data Engineering Expert to join their team. This full-time position is based in Jeddah and Makkah. The role requires 5-10 years of experience and focuses on leading the design, development, modernization, and governance of enterprise-scale data platforms and integration ecosystems within the airline IT domain.

Key Responsibilities

• Define and implement enterprise-wide data architecture strategies to support commercial, digital, customer, and operational business functions.
• Design scalable, resilient, and secure data platforms for analytics, reporting, machine learning, and operational decision-making.
• Lead the modernization of legacy data environments to cloud-native Lakehouse architectures and enterprise data ecosystems.
• Establish data engineering standards, architectural principles, governance frameworks, and best practices.
• Design and implement scalable enterprise data architectures supporting airline functions such as Reservations and Passenger Service Systems (PSS), Revenue Management, Loyalty Programs, CRM, CDP, Digital Engagement, and Customer Analytics.
• Architect and develop scalable data ingestion, transformation, and serving layers for batch and real-time processing.
• Design reusable, metadata-driven ETL/ELT frameworks for large volumes of data.
• Establish enterprise integration patterns using APIs, event-driven architectures, and messaging technologies.
• Implement data quality controls, reconciliation mechanisms, lineage tracking, metadata management, and observability.
• Drive automation for deployment, orchestration, monitoring, and operational support.
• Design and implement streaming architectures for near real-time operational visibility and business insights.
• Enable event-driven data processing for customer engagement, disruption management, and operational monitoring.
• Establish enterprise Master Data Management (MDM) strategies and governance frameworks for key data domains.
• Drive data stewardship, golden record management, metadata governance, and enterprise data quality initiatives.
• Ensure compliance with security, privacy, regulatory, and corporate governance requirements.
• Provide technical leadership and direction to data engineering and architecture teams.
• Mentor engineers and architects, fostering a culture of engineering excellence.
• Collaborate with business stakeholders, product owners, enterprise architects, and leadership.
• Lead strategic modernization, cloud transformation, and enterprise data platform initiatives.

Required Qualifications and Technical Expertise

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Experience in Data Engineering, Data Architecture, Data Platform Engineering, or Enterprise Data Management roles.
• Proven experience delivering enterprise-scale data platforms in complex environments, preferably within the airline, aviation, travel, or transportation industry.
• Extensive expertise in designing and implementing modern cloud-based data architectures using Microsoft Azure and Databricks Lakehouse technologies.
• Strong hands-on experience building scalable data engineering solutions with Apache Spark, Scala, Spark SQL, Delta Lake, and modern orchestration frameworks for batch and real-time workloads.
• Demonstrated success in developing enterprise-grade ETL/ELT frameworks, high-performance data pipelines, and large-scale data processing platforms.
• Deep understanding of enterprise data integration patterns, including API-based integrations, event-driven architectures, and messaging technologies.
• Significant experience in enterprise data warehousing, analytical data modeling, database design, SQL optimization, performance tuning, and large-scale data management.
• Practical experience establishing Master Data Management (MDM) capabilities, metadata management frameworks, data stewardship processes, and enterprise data governance practices.
• Deep understanding of data quality, lineage, observability, security, privacy, compliance, and governance requirements for enterprise data platforms.
• Proven ability to define architecture standards, lead engineering teams, mentor technical professionals, and drive modernization and cloud transformation initiatives.

Preferred Qualifications

• Experience with Passenger Service Systems (PSS), Revenue Management, Loyalty Platforms, CRM, CDP, Digital Commerce, and Customer Experience solutions in the airline industry.
• Experience supporting advanced analytics, artificial intelligence, machine learning, and personalization initiatives.
• Exposure to Data Mesh, Data Fabric, or domain-oriented data architecture approaches.
• Experience operating within large-scale enterprise transformation programs.
• Relevant certifications in Microsoft Azure, Databricks, Data Engineering, Cloud Architecture, or Enterprise Data Management.

Work Environment and Company Culture

Amadeus offers a global work environment with a focus on continuous learning and development. The company fosters a caring environment that supports professional growth and personal well-being, providing attractive compensation packages and a flexible working model. Amadeus is committed to building a diverse and inclusive community where every employee can reach their full potential, promoting a culture of belonging and fair treatment. Reliability is a fundamental aspect of Amadeus's relationships with its customers, partners, and employees.