Senior Data Engineer

About Us

HBX Group is the world’s leading technology partner, connecting and empowering the world of travel. We’re game-changers, disruptors, the people who bring together local and global brands in accommodation, transport, activities and payments through our network of 300,000 hotels worldwide, 60,000 hard to reach high value clients such as tour operators, travel agents and loyalty schemes across 140 source markets. We are tech-driven, with a customer-first philosophy, and commercial teams whose knowledge and relationships on the ground are second to none.

Job summary

The Senior Engineer for Sourcing vertical is the technology owner responsible for the strategy, architecture, delivery and operational excellence of the Data, Analytics, Machine Learning and Artificial Intelligence solutions supporting the Sourcing domain. As one of the most strategically important domains within HBX, Sourcing is responsible for delivering the capabilities that optimize supplier acquisition, commercial performance, hotel engagement, fraud prevention and intelligent decision-making across the business.

The role provides technical leadership across multiple engineering teams and is accountable for ensuring that Sourcing data products, analytical solutions, ML models and AI-driven services are scalable, reliable, secure and aligned with business priorities. Acting as the senior technology authority for the domain, the Senior Engineer drives the evolution of the Sourcing ecosystem, governs architectural standards and ensures the successful delivery and operation of business-critical capabilities that directly contribute to revenue growth, margin improvement and operational efficiency.

The Senior Engineer serves as the bridge between Product, Engineering, Business and Executive stakeholders, translating strategic business opportunities into scalable and sustainable technology solutions. The role is responsible for ensuring the successful execution of HBX's most impactful Sourcing initiatives, including supplier optimization, contract intelligence, fraud detection, incentive management, intelligent routing and other advanced analytics and AI-driven capabilities.

Through close collaboration with Product leadership and Executive stakeholders, the role ensures that the Sourcing domain continues to deliver measurable business value while supporting the company's long-term growth strategy. As data, analytics, Machine Learning and Artificial Intelligence become increasingly critical competitive differentiators, this position plays a key role in enabling HBX to scale its commercial and sourcing capabilities while maintaining operational excellence and technology sustainability.

Position Responsibilities

• Own end-to-end responsibility of the Sourcing Domain services, ensuring alignment with business objectives and technology strategy.
• Lead the design and delivery of Data, ML and AI solutions that support supplier acquisition, commercial performance, revenue growth and operational excellence.
• Ensure all IOS solutions are scalable, reliable, maintainable and aligned with business priorities and company strategy.
• Act as the senior technology authority for the Sourcing domain, defining engineering standards, architectural principles and solution design best practices
• Drive the continuous evolution of data-driven capabilities across the domain, identifying opportunities to increase automation, efficiency and business value
• Ensure platform scalability, reliability, security, maintainability and cost-efficiency as business demand grows.
• Build strong relationships across Product, Data Science, Engineering and Business teams to ensure alignment and successful execution communicating strategy, progress, risks and investment requirements effectively to senior stakeholders.
• Assume end-to-end ownership of sourcing data services and solutions operating in analytics production environments.
• Ensure the reliability, performance and availability of business-critical analytical, ML and AI services.
• Establish and monitor service KPIs, operational metrics and performance indicators within their responsibilities.
• Lead incident resolution, root cause analysis and continuous improvement initiatives when production issues occur.
• Ensure operational readiness and long-term sustainability of all delivered solutions.
• Promote experimentation and innovation while ensuring solutions deliver measurable business value.
• Drive adoption of advanced AI techniques, optimization algorithms and intelligent decision-making capabilities across the organization

Required skills

• Exceptional leadership skills with proven ability to lead multiple engineering teams through Team Leads and senior technical contributo