data engineer for CEG systems

Agoda connects people with destinations and experiences through deals on hotels, holiday properties, flights, and activities worldwide. Its Data department enables company-wide data use through operational and analytical databases, queue systems, BI tools, and data science technology, supporting customer search and fraud prevention.

• Design, build, and maintain scalable ETL/ELT pipelines for data from CEG systems and third-party tools and logs;
• Develop and optimize data models powering reporting, monitoring, forecasting, quality assurance, and experimentation;
• Implement validation checks, anomaly detection, and monitoring for key datasets and metrics;
• Define and enforce data definitions, SLAs, and ownership for critical tables and metrics with stakeholders;
• Improve the performance and cost efficiency of data jobs and queries for high-volume CEG data;
• Standardize tooling and best practices with data platform and engineering teams;
• Design and build data tools and internal products, including analytics, monitoring, alerting, investigation, quality assurance, and agent performance tools;
• Implement APIs, data services, and lightweight UIs using Python, Java, Golang, or JavaScript/TypeScript;
• Translate operational pain points into concrete data tools from problem framing through delivery and iteration;
• Apply testing, code reviews, CI/CD, and observability to data products;
• Define and drive the roadmap for key CEG data tools and platforms at Staff level;
• Translate business questions into data problems and design analytic approaches;
• Build and maintain dashboards and reports for reliable metrics and self-service data access;
• Perform deep-dive analysis, identify root causes, and propose data-driven recommendations;
• Define and maintain consistent metrics and KPIs across CEG teams and tools;
• Communicate findings with clear implications and recommended next steps;
• Act as a trusted data partner for CEG stakeholders;
• Align data standards, reusable components, and shared datasets with data engineers, analysts, and scientists;
• Mentor junior and mid-level team members;
• Improve team workflows through code reviews, testing, documentation, runbooks, knowledge sharing, and incident reviews;
• Influence cross-team architecture and ways of working so the data ecosystem scales with business growth.

• 8+ Years of experience as a Data Engineer, Analytics Engineer, or Data Analyst in a data-driven environment; Staff level typically requires 10+ years or equivalent scope and impact;
• Strong SQL skills, including complex joins, window functions, aggregation, and query optimization;
• Experience with at least one major data warehouse or big data technology;
• Experience with ETL/ELT tools or orchestration frameworks;
• Proficiency in at least one programming language for data and services;
• Experience building production-grade data pipelines or data services with attention to quality, monitoring, and maintainability;
• Experience with BI or visualization tools;
• Strong analytical thinking and ability to turn data into clear insights;
• Ability to communicate complex topics in simple, concise language to non-technical stakeholders;
• Nice to have: experience with event-driven data, data modeling techniques, A/B testing or causal analysis, ML pipelines or data science teams, online consumer products, travel, e-commerce or marketplaces, frontend or backend development for internal tools, prior Staff or Tech-Lead experience driving technical direction and mentoring multiple engineers or analysts.

• No conditions specified