About Wego

Wego is an online travel metasearch platform used by millions to find the best flights and hotel deals. We are seeking a talented Analytics + AI Engineer to join our Data Analytics & Data Science team.

About the Role

As part of the Data Analytics & Data Science team, you will architect and build the data infrastructure and AI-enablement systems that power analytics, data science, and AI agents across Wego. You will design our data warehouse and pipeline architecture, and build the tooling that lets AI systems operate reliably on our data.

This isn't a pure backend role. You will work daily with data scientists and analysts to understand what their work needs from the underlying systems, and design pipelines, orchestration, and AI-agent tooling that serve those needs directly, not just infrastructure for its own sake.

Key Responsibilities

• Data Warehouse & Orchestration — Design and build a modern, well-orchestrated data warehouse and pipeline architecture.

• Reliability & Data Quality — Build alerting, monitoring, and data-quality checks so the data platform can be trusted across the business.

• Model Productionization — Turn statistical and machine learning models into reliable, scalable production services.

• AI / Agent Enablement — 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.

• Cross-Team Partnership — Work closely with data scientists and analysts to translate their needs into architecture and tooling decisions.

Qualifications

Experience & Domain Expertise

• 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.

Technical Skills

• 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.

Soft Skills & Mindset

• 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.