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Staff Data Engineer

Agoda

Sydney (Bangkok (Central World Office)) Remote permanent

Posted: March 17, 2026

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Quick Summary

We are a global hospitality company that connects people with travel experiences, with a focus on underserved markets. We are seeking a skilled Staff Data Engineer to join our team in Bangkok (Central World Office). The ideal candidate should have experience in data analysis and a strong understanding of data engineering principles.

Job Description

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.

Sponsor

Agoda

Title

Staff Data Engineer

Description

About the team: The Data department at Agoda enables data-driven decision making across the company by building operational and analytical databases, queue systems, BI tools, and data science infrastructure. The Data Core Apps team operates large-scale systems spanning multiple data centers, handling millions of writes per second and tens of petabytes of data. We focus on real-time ingestion, replication, enrichment, storage and analytics — pushing big-data technologies to the edge.

Employment type

Full-time

Location

Level 22, 8 Chifley Square, Sydney NSW, 2000

Key responsibilities

• p]:inline" data-streamdown="list-item">Design and implement high-performance, reliable data systems and services (Spark, ETL, storage, data exchange).

• p]:inline" data-streamdown="list-item">Improve scalability, stability, accuracy, speed and efficiency of existing data platforms.

• p]:inline" data-streamdown="list-item">Build libraries, frameworks, or end-to-end systems with strong test coverage and code quality.

• p]:inline" data-streamdown="list-item">Troubleshoot and resolve production issues; perform root-cause analysis.

• p]:inline" data-streamdown="list-item">Collaborate with product owners and cross-functional teams to deliver data tools that automate large-scale tasks.

• p]:inline" data-streamdown="list-item">Contribute to data lineage, data quality, and data exchange initiatives.

Required skills, qualifications and experience

• p]:inline" data-streamdown="list-item">7+ years of experience in software and data engineering.

• p]:inline" data-streamdown="list-item">Expert-level Apache Spark knowledge (design, tuning, debugging).

• p]:inline" data-streamdown="list-item">Expert-level JVM understanding and proficiency in Java or Scala.

• p]:inline" data-streamdown="list-item">Strong SQL skills.

• p]:inline" data-streamdown="list-item">Familiarity with Python for tooling and scripting.

• p]:inline" data-streamdown="list-item">Experience with Linux systems administration.

• p]:inline" data-streamdown="list-item">Experience debugging and reasoning about production issues in distributed systems.

• p]:inline" data-streamdown="list-item">Good understanding of data architecture principles.

• p]:inline" data-streamdown="list-item">Experience with Big Data ecosystems and tools (Hadoop, S3, Kafka, etc.).

• p]:inline" data-streamdown="list-item">Analytical problem-solving capabilities.

Desirable (nice-to-have)

• p]:inline" data-streamdown="list-item">Experience working in Data Infrastructure or Data Platform teams.

• p]:inline" data-streamdown="list-item">Contributions or experience with open-source products.

• p]:inline" data-streamdown="list-item">Experience with Kubeflow, data lineage, data quality systems, or ETL tooling.

• p]:inline" data-streamdown="list-item">Previous work at scale (multi-datacenter, multi-PB environments).

Salary

Salary range: Starting from AUD 77,000

Open dates

• p]:inline" data-streamdown="list-item">Posting date: 2026-03-17

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.

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