14 часов назад
Senior Data Engineering Expert
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineering Expert (Azure/Databricks): Designing and modernizing enterprise-scale data platforms and integration ecosystems for airline commercial, digital, customer, and operational functions with an accent on cloud-native Lakehouse architectures, batch and real-time pipelines, and data governance. Focus on building scalable Spark and Scala processing platforms, implementing Master Data Management, and leading enterprise data modernization and cloud transformation initiatives.
Location: Jeddah, Saudi Arabia
Company
develops technology and data solutions that power travel and airline operations worldwide.
What you will do
- Define and implement enterprise data architecture strategies for commercial, digital, customer, and operational functions.
- Design and modernize scalable cloud-native Lakehouse platforms supporting analytics, reporting, machine learning, and operational decision-making.
- Architect batch and real-time ingestion, transformation, and serving layers using enterprise integration patterns, APIs, event-driven architectures, and messaging technologies.
- Implement data quality, reconciliation, lineage, metadata management, observability, monitoring, and operational automation.
- Establish Master Data Management strategies covering customers, flights, airports, aircraft, crew, and enterprise reference data.
- Provide technical leadership, mentor engineering and architecture professionals, and collaborate with product owners, airline operations teams, enterprise architects, and executives.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Extensive experience in data engineering, data architecture, data platform engineering, or enterprise data management.
- Strong experience designing cloud-based data architectures with Microsoft Azure and Databricks Lakehouse.
- Hands-on expertise with Apache Spark, Scala, Spark SQL, Delta Lake, ETL/ELT frameworks, orchestration, data warehousing, database design, SQL optimization, and performance tuning.
- Experience with enterprise data integration, Master Data Management, metadata governance, data stewardship, golden records, data quality, lineage, observability, security, privacy, compliance, and governance.
- Proven ability to lead teams, mentor technical professionals, define architecture standards, and drive enterprise modernization initiatives.
Nice to have
- Airline industry experience with Passenger Service Systems, Revenue Management, Loyalty Platforms, CRM, CDP, Digital Commerce, or Customer Experience solutions.
- Experience supporting artificial intelligence, machine learning, advanced analytics, or personalization initiatives.
- Exposure to Data Mesh, Data Fabric, domain-oriented data architectures, or large-scale enterprise transformation programs.
- Relevant Microsoft Azure, Databricks, data engineering, cloud architecture, or enterprise data management certifications.
Culture & Benefits
- Flexible working model.
- Learning opportunities through on-the-job training, formal activities, and daily collaboration.
- Supportive environment focused on professional growth and personal well-being.
- Compensation package with salary, bonus, caregiving, and health benefits.
- Global, diverse, and inclusive working community.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →