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Senior Data Engineering Expert

Amadeus
Jeddah, KSA
Full Time
Senior
3 weeks ago
DatabricksApache SparkScalaDelta LakeSQLETL/ELT
Free

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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.

Key Responsibilities

  • 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.
  • Design and implement scalable enterprise data architectures supporting Airline Commercial and Digital functions.
  • 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.
  • 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.

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.

Diversity & Inclusion

  • Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
  • Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.

Be aware of recruitment scams

  • Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, T

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