Manager - SAP Data Engineering & Analytics

At Almosafer (part of Seera Group), 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.

Almosafer is looking for Manager-Data Engineering & Analytics (SAP BODS/BDC/SAC) to manage end-to-end data integration, transformation, and analytics landscape, ensuring reliable data pipelines, high quality insights, and scalable enterprise reporting across the organization.

• Lead end-to-end data engineering initiatives across SAP BODS, BDC, Datasphere, and SAC, ensuring reliable, secure, and scalable data flows
• Own the architecture, development, and optimization of ETL/ELT pipelines using SAP BODS and SAP Datasphere
• Lead data migration, data quality, and data governance activities across SAP and non SAP Systems
• Establish and govern reusable data products, semantic models, and transformation frameworks that standardize how business domains consume and share data across the enterprise
• Manage the design and delivery of SAC dashboards, planning models, and analytics solutions aligned with business KPIs
• Oversee platform configuration, environment setup, and operational readiness for SAP BODS, Datasphere, BDC, and SAC, ensuring each system is fully functional, secure, and aligned with enterprise architecture standards
• Manage connectivity and integration settings across SAP landscapes — including RFCs, OData services, JDBC/ODBC connections, agent configurations, and secure network tunnels — ensuring seamless data flow between S/4
  
  HANA, Success Factors, and external systems
• Collaborate closely with the BASIS team to manage system landscapes, transport paths, patching, upgrades, and performance tuning for all data and analytics platforms
• Ensure proper provisioning, role-based access, and security configurations across BODS repositories, Datasphere spaces, SAC tenants, and BDC execution environments
• Lead troubleshooting and root-cause analysis for platform-level issues, including agent failures, connection drops, job execution errors, and performance bottlenecks across data pipelines and analytics layers
• Ensure all platform integrations follow clean‑core principles, secure connectivity standards, and enterprise data governance policies
• Manage the development of reusable CDS artifacts, including analytical, transactional, and hierarchy views—to standardize data access and ensure consistent KPIs across business domains
• Drive alignment between CDS based virtual data models and enterprise data products, ensuring clean core compliance and reducing the need for custom ABAP or heavy ETL logic.
• Lead the design and deployment of adaptive, AI-powered intelligent applications built on SAP Business Data Cloud, ensuring solutions continuously learn from enterprise data, understand business context, and autonomously improve decision making
• Drive the integration of next-generation intelligent capabilities—such as automated insights, contextual recommendations, and workflow orchestration—across SAP S/4
  
  HANA and Success Factors to transform business outcomes.

• Fluent in spoken, written English. Knowledge of Arabic would be preferred
• A University Degree from an internationally recognized institution preferably in the fields of Business, Engineering, Computer science, Information systems or similar degree.
• Minimum 12 years of experience in SAP data engineering, analytics, or integration roles.
• Proven leadership in SAP BODS, SAP Datasphere, SAP BDC, and SAP Analytics Cloud…