Senior Data Engineering Expert

Senior Data Engineering Expert

Key Responsibilities

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 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, operational, and customer data.
• Establish enterprise integration patterns leveraging APIs, event-driven architectures, messaging technologies, and hybrid connectivity models.
• Implement data quality controls, reconciliation mechanisms, lineage tracking, metadata management, and observability capabilities.
• Drive automation of deployment, orchestration, monitoring, recovery, and operational support processes.

Real-Time Data & Analytics

• Design and implement streaming architectures that provide near real-time operational visibility and business insights.
• Enable event-driven data processing capabilities supporting customer engagement, disruption management, operational performance monitoring, and decision support.
• Ensure scalability, reliability, and performance of real-time data processing platforms.

Data Management & Governance

• Establish enterprise Master Data Management (MDM) strategies and governance frameworks.
• Define and govern master data domains including customers, flights, airports, aircraft, crew, and enterprise reference data.
• Drive data stewardship, golden record management, metadata governance, and enterprise data quality initiatives.
• Ensure compliance with security, privacy, regulatory, and corporate governance requirements.

Leadership & Stakeholder Management

• Provide technical leadership and direction across data engineering and architecture teams.
• Mentor engineers, architects, and technical leads while fostering a culture of engineering excellence.
• Collaborate closely with business stakeholders, product owners, enterprise architects, airline operations teams, and executive leadership.
• Lead strategic modernization, cloud transformation, and enterprise data platform initiatives.

Required Qualifications & 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 within complex and highly integrated environments, preferably in 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 leveraging **Apache Spark, Scala, Spark SQL, Delta Lake,** and modern orchestration frameworks to support both batch and real-time workloads.
• Demonstrated success in developing enterprise-grade **ETL/ELT** frameworks, high-performance data pipelines, and large-scale data processing platforms capable of handling operational, commercial, and customer data domains.
• Deep understanding of enterprise data integration patterns, including API-based integrations, event-driven architectures, messaging technologies, and hybrid integration models connecting operational systems, cloud platforms, and analytical environments.
• Significant experience in enterprise data warehousing, analytical data modeling, database design, SQL optimization, performance tuning, and large-scale data management across structured and semi-structured datasets.
• Practical experience establishing **Master Data Management** (MDM) capabilities, metadata management frameworks, data stewardship processes, golden record management, and enterprise data governance practices.
• Deep understanding of data quality, lineage, observability, security, privacy, compliance, and governance requirements associated with enterprise data platforms.
• Proven ability to define architecture standards, lead engineering teams, mentor technical professionals, and drive enterprise-wide modernization and cloud transformation initiatives.

Preferred Qualifications

• ----------------------------
• Experience working with Passenger Service Systems (PSS), Revenue Management, Loyalty Platforms, CRM, CDP, Digital Commerce, and Customer Experience solutions within the airline industry.
• Experience supporting advanced analytics, artificial intelligence, machine learning, and personalization initiatives through modern data platforms.
• 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.
• What can we offer you?
• A critical mission and purpose - At Amadeus, you'll power the future of travel with a critical mission and extraordinary purpose.
• A truly global DNA - Everything at Amadeus is global, from our people to our business, which translates into our footprint, processes, and culture.
• Great opportunities to learn - Learning happens all the time and in many ways at Amadeus, from on-the-job training to formal activities, and daily interactions.
• A caring environment – Amadeus fosters a caring environment that supports both professional growth and personal well-being.
• A complete rewards offer - Amadeus provides attractive compensation packages, including salary, bonus, caregiving and health benefits.
• A flexible working model - Embrace our flexible working model, enabling you to excel wherever and however you work best.
• A diverse and inclusive community – We are committed to enabling each employee to reach their full potential by fostering a culture of belonging and fair treatment.
• A Reliable Company - Trust and reliability are fundamental to shaping our relationships with customers, partners, and employees.
• #LI-EMEA

Diversity & Inclusion