[BI] Senior BI Developer (Analytics Engineer)

<div class="content-intro"><p></p> <p><strong>About Agoda</strong></p> <p>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. </p> <p> </p> <p>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.</p> <p> </p> <p>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.</p></div><p><strong>THE OPPORTUNITY</strong></p> <p>As a Senior BI Developer, you will be a key individual contributor building trusted data<br>products for Agoda’s technology organization, including curated datasets, metrics,<br>dashboards and visualizations, and scalable data transformations. You will work closely<br>with engineers, engineering managers, team leads, and senior leadership to help the<br>organization make better decisions with data. This role combines analytics, metrics<br>definition, and stakeholder consulting with hands-on data engineering and development</p> <p><br><strong>IN THIS ROLE, YOU’LL GET TO</strong><br>• Act as a partner and consultant to engineering managers and leaders: translate<br>stakeholder and engineering questions into measurable metrics/information such<br>as developer velocity, cost efficiency, and code quality, and keep those definitions<br>consistent across reports.<br>• Design, build, and maintain ETL/ELT transformations, including Spark/Python<br>workflows and warehouse models, so data is accurate, timely, tested, and fit for<br>reporting. As a Senior, review others’ pipeline and metric work, raise delivery<br>standards, and unblock the team.<br>• Analyze large datasets with SQL and Python to support engineering and operational<br>decisions.<br>• Design and maintain dashboards and visual reports so engineering managers and<br>leaders can explore metrics (for example developer velocity, cost efficiency, and<br>code quality) without a ticket for every chart.<br>• Improve data reliability through validation, quality checks, observability, production<br>troubleshooting, and query performance tuning. Own published metrics: explain<br>filters and grain, flag numbers that should not be trusted, and recommend next<br>steps.<br>• Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL<br>development, testing, refactoring, analysis, pipeline work, and documentation, and<br>reject unsafe or unverified output before it reaches production or stakeholders.</p> <p><br><strong>WHAT YOU’LL NEED TO SUCCEED</strong><br>• 5+ years in business intelligence, analytics, and/or data engineering, with<br>experience in both stakeholder consulting and hands-on pipeline or data-product<br>work.<br>• Advanced SQL (joins, window functions, and performance on large datasets).<br>• Strong Python skills (or similar) for building data pipelines.<br>• Experience with ETL/ELT and orchestration (for example Kubeflow or similar).<br>• Strong analytical thinking: comfortable framing business questions, exploring data,<br>and turning results into clear insights.<br>• Experience building dashboards or visual reports for stakeholders.&