Specialist - Data Services & Infrastructure

Almosafer
من LinkedIn ‏الأردن
الموقع: عمّان • عبر LinkedIn ‏الأردن - وظائف الأردن
النوع: دوام كامل
نُشرت: 1970-01-01
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تفاصيل الوظيفة

About the company:

At Almosafer Travel & Tourism Co. We’re not just part of the travel industry, we’re helping shape its future.

As Saudi Arabia’s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.

Rooted in our name “Almosafer,” meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.

We’re united by a bold vision:

To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.

Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.

About the Role:

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable data-driven decision-making across the organization.

The ideal candidate will have strong backend data engineering expertise and exposure to modern big data and AI-driven ecosystems.

Responsibilities:
• Design, develop, and optimize scalable data pipelines using Python or Java.
• Build and maintain ETL/ELT frameworks using Apache Spark (Batch & Streaming).
• Write advanced SQL queries for data transformation, validation, and analytics.
• Develop APIs to share data with other services.
• Integrate data from multiple structured and unstructured sources.
• Collaborate with Data Scientists, Analysts, and Product teams to support analytics and ML use cases.
• Implement data validation, logging, and error-handling mechanisms.
• Optimize pipeline performance and manage large-scale datasets.

Profile Requirements:
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 3+ years of hands-on experience in Data Engineering or Big