THE OPPORTUNITY

As a Senior BI Developer, you will be a key individual contributor building trusted data
products for Agoda’s technology organization, including curated datasets, metrics,
dashboards and visualizations, and scalable data transformations. 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 such
as developer velocity, cost efficiency, and code quality, and keep those definitions
consistent across reports.
• Design, build, and maintain ETL/ELT transformations, including Spark/Python
workflows and warehouse models, so data is accurate, timely, tested, and fit for
reporting. As a Senior, review others’ pipeline and metric work, raise delivery
standards, and unblock the team.
• 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 (for example developer velocity, cost efficiency, and
code quality) without a ticket for every chart.
• Improve data reliability through validation, quality checks, observability, production
troubleshooting, and query performance tuning. Own published metrics: explain
filters and grain, flag numbers that should not be trusted, and recommend next
steps.
• Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL
development, testing, refactoring, analysis, pipeline work, and documentation, and
reject unsafe or unverified output before it reaches production or stakeholders.

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 — metrics definition/analysis one day, ETL or data modeling the next.
• Practical AI-assisted development: generate, review, test, and own the result. You
can explain what you trusted AI to draft and what you verified yourself.
• Clear written and verbal English, and the ability to work independently with
engineers and leaders in an agile environment.

IT’S GREAT IF YOU HAVE
• Experience with software-delivery practices such as Agile/Scrum and CI/CD
(GitHub Actions, GitLab CI, or similar).
• Interest in developer productivity or engineering analytics.
• Experience with common data platforms / big data technology (e.g., BigQuery,
Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Hands-on experience with visualization or data-serving UIs such as Apache
Superset, Tableau, or a lightweight web app.
• Experience building APIs or internal data products beyond dashboards, not only ad-
hoc analysis.
• A degree in Computer Science, Engineering, Information Systems, or equivalent
practical experience.