Senior Data Engineer – Display Marketing Team (Bangkok based, relocation provided)

About Agoda

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.

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.

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.

Get to Know Our Team

This role is part of Agoda’s Display & App Marketing engineering team, focused on building and improving large-scale systems that power paid marketing across global advertising channels, including Display Ads and App Install campaigns.

Our systems handle high-volume hotel feeds (price, availability, content), image processing for advertisements, advertising platform integrations (Google Ads, Meta, etc.), and data pipelines that support experimentation and optimization.

You will work closely with Marketing, Product, and Data teams to deliver reliable, efficient, and scalable engineering solutions, with strong exposure to marketing strategy, experimentation, and real business impact. The team is growing and evolving, giving you the opportunity to shape systems and ways of working end-to-end—from design and implementation to operational excellence at global scale.

In this Role, you will get to

• Design, build, and operate backend services and data pipelines that support paid marketing use cases, including hotel feeds, ad platform integrations, and experiment data
• Contribute to technical design discussions and drive implementation of production systems running at scale
• Take part in the full development lifecycle: design, implementation, testing, deployment, and production support.
• Proactively identify and improve system reliability, scalability, data quality, and operational efficiency
• Write clear, maintainable code and actively participate in code reviews and technical discussions
• Collaborate with Product, Marketing, and other Engineering teams to clarify requirements and deliver effective solutions
• Support and improve the team’s engineering standards, including CI/CD, monitoring, and documentation
• Make technical trade-offs across performance, quality, and cost
• Participate in hiring, onboarding, and knowledge sharing, in line with your experience and interests
  
  

What You’ll Need To Succeed

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 5+ years of software engineering experience, with a focus on backend and/or data engineering
• Strong proficiency in Scala (preferred) or another JVM language (e.g. Java, Kotlin)
• Strong proficiency in SQL
• Experience building and operating data processing and pipeline systems, e.g. Spark, Kafka, workflow orchestration tools
• Experience with messaging or asynchronous systems (e.g. RabbitMQ)
• Experience designing and operating production systems with performance, scalability, and reliability in mind
• Ability to troubleshoot complex systems and perform effective root cause analysis
• Experience working in Agile, cross-functional teams
• Strong English communication skills, written and verbal
• An engineering-driven mindset, with solid analytical and problem-solving abilities
  
  

It's great if you have

• Deep experience with Spark based- distributed data pipelines, including performance tuning and query plan optimization
• Experience integrating with external APIs or third party- platforms at scale
• Familiarity with advertising, marketing, or experimentation systems
• Exposure to observability and operations tooling, such as Grafana or similar monitoring systems
• Experience identifying, monitoring, and addressing data quality risks in production systems
• Experience with CI/CD pipelines and modern DevOps practices
• Experience taking end-to-end ownership of systems, projects, or major initiatives
  
  

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Discover More About Working At Agoda

• Agoda Careers https://careersatagoda.com
• Facebook https://www.facebook.com/agodacareers/
• LinkedIn https://www.linkedin.com/company/agoda
• YouTube https://www.youtube.com/agodalife
  
  

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.