Description
As a Senior BI Developer, you will be a key individual contributor building trusted data products for Agoda's technology organization.
You will work closely with engineers, engineering managers, team leads, and senior leadership to help the organization make better decisions with data.
This role combines analytics, metrics definition, and stakeholder consulting with hands-on data engineering and development.
IN THIS ROLE, YOU'LL GET TO
- Act as a partner and consultant to engineering managers and leaders: translate stakeholder and engineering questions into measurable metrics/information.
- Design, build, and maintain ETL/ELT transformations, including Spark/Python workflows and warehouse models.
- Analyze large datasets with SQL and Python to support engineering and operational decisions.
- Design and maintain dashboards and visual reports so engineering managers and leaders can explore metrics.
- Improve data reliability through validation, quality checks, observability, production troubleshooting, and query performance tuning.
- Use AI tools to accelerate SQL development, testing, refactoring, analysis, pipeline work, and documentation.
WHAT YOU'LL NEED TO SUCCEED
- 5+ years in business intelligence, analytics, and/or data engineering, with experience in both stakeholder consulting and hands-on pipeline or data-product work.
- Advanced SQL (joins, window functions, and performance on large datasets).
- Strong Python skills (or similar) for building data pipelines.
- Experience with ETL/ELT and orchestration (for example Kubeflow or similar).
- Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
- Experience building dashboards or visual reports for stakeholders.
- Ability to switch context between stakeholder discussions and hands-on technical work.
- Practical AI-assisted development: generate, review, test, and own the result.
- Clear written and verbal English, and the ability to work independently with engineers and leaders in an agile environment.