Analytics & AI Engineer

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Wego.com

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

🏪 Marketplace

👥 B2C

☁️ SaaS

💰 $12M Series C - Wego on 2017-10

Marketplace • B2C • SaaS

Wego. com is a leading travel marketplace and online travel agency focused on the MENA region that helps consumers plan and book flights, hotels, and discover travel inspiration. The company also operates a cashback and rewards platform and provides a business travel and expenses management solution, combining consumer-facing marketplace services with software tools for corporate travel.

📋 Description

• Design and build a modern, well-orchestrated data warehouse and pipeline architecture. • Build alerting, monitoring, and data-quality checks so the data platform can be trusted across the business. • Turn statistical and machine learning models into reliable, scalable production services. • Build the ML Ops stack and the tooling and context layers that let AI agents operate on our data reliably, including knowledge platforms on top of the data foundation. • Work closely with data scientists and analysts to translate their needs into architecture and tooling decisions.

🎯 Requirements

• 3-8 years of experience in data engineering, platform engineering, or ML infrastructure, including hands-on AI/agent engineering experience. • Strong understanding of data warehouse architecture, pipeline orchestration, and ML Ops. • Experience building analytics or data platforms that support both human users and automated systems. • Experience building production data stack across Analytics, ML, and AI. • Travel-domain experience is a plus. • Fluency in SQL and Python. • Experience with cloud platforms (e.g. Google Cloud Platform, AWS, or Azure), including cloud data warehouses (e.g. BigQuery), pipeline orchestration tools, and monitoring/alerting systems. • Experience building and orchestrating AI agents using foundational LLMs (e.g. Claude, Gemini, OpenAI), including integrating agents with external tools, APIs, and data sources. • High agency and comfort working through ambiguity, with AI as a core part of how you work — you actively use AI tools day to day and continuously refine your own workflows with them to raise your productivity. • Strong product mindset: you treat data scientists and analysts as your core users and build systems that make their work faster and more reliable. • Clear communicator, able to bridge technical architecture decisions with the needs of data science and analytics teams.