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Get to Know Our Team The Data department oversees all Agoda’s data-related requirements. Our goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical, as business users, product managers, engineers, and many others rely on us to empower their decision making. The Opportunity As BI Developer , you will be a key individual contributor in a scrum team dedicated to supporting the B2B entity. You will be responsible for designing, building, and maintaining high-quality data products, dashboards, and scalable data transformations that enable financial reporting, operational analytics, and data-driven decision making across the organization. You will work closely with Finance, Planning, Revenue Operations, Data Engineering, Product, and Analytics stakeholders to translate business requirements into trusted and efficient BI solutions. This role requires strong technical expertise, ownership, and the ability to deliver reliable data assets that are discoverable, accurate, performant, and aligned with business and reporting needs. In This Role, You’ll Get to Design, develop, and maintain dashboards, curated datasets, semantic layers, and data marts to support B2B reporting and analytics Build and maintain ETL/ELT transformations to ensure data is accurate, timely, scalable, and fit for reporting and analytical use cases Translate business requirements into scalable data models and BI solutions that support financial reporting, forecasting, partner operations, and performance tracking Perform data validation, reconciliation, and root cause analysis to identify and resolve issues before they impact downstream consumers Partner with Data Engineering and upstream system owners to understand source systems, data dependencies, and integration logic Optimize queries, data models, and dashboard performance to improve reliability, efficiency, and user experience · Experience with large-scale data platforms such as Hadoop, Spark, Impala, Vertica, or similar technologies Maintain clear documentation for business logic, source-to-target mapping, metric definitions, and transformation rules Support self-service analytics by delivering well-structured, trusted, and understandable data assets Participate in sprint planning, solution discussions, design reviews, and delivery activities within the team Troubleshoot production issues and implement sustainable fixes to improve the stability and quality of BI products Contribute to BI development standards, code quality, testing practices, and team ways of working Collaborate with cross-functional stakeholders to align on requirements, clarify logic, and ensure successful delivery What You’ll need to Succeed: Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related field (or equivalent practical experience). 2+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, or a related data development role. Strong SQL skills and solid experience writing efficient, maintainable queries for complex analytical and reporting use cases. Hands-on experience building dashboards, datasets, and data transformations using BI and data platform technologies. Solid understanding of data modelling concepts for analytics and reporting, including fact/dimension design, grain definition, and reusable semantic structures. Experience with ETL/ELT development and orchestration concepts, using tools or scripting languages such as Python, Airflow, or similar technologies. Strong understanding of data validation, reconciliation, and quality control practices in production BI environments. Ability to work with large datasets and optimize performance through query tuning, partition awareness, and efficient design patterns. · Experience with large-scale data platforms such as Hadoop, Spark, Impala, Vertica, or similar technologies. Good understanding of BI development lifecycle, including requirement gathering, design, development, testing, deployment, and post-release support. Ability to independently own medium-to-large scope tasks, break down ambiguous problems, and deliver practical, scalable solutions. Strong communication skills in English, with the ability to document clearly and work effectively with cross-functional stakeholders. High attention to detail, strong problem-solving skills, and commitment to data accuracy and reliability. It’s great if you have: Experience with Snowflake and familiarity with features such as clustering, materialized views, Time Travel, and performance optimization techniques. Experience with Agile/Scrum ways of working and CI/CD practices utilizing technologies such as Git, Jenkins, or Terraform. · Experience designing BI products that support self-service analytics and strong user adoption
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.