Jobs / Thailand / Agoda International Pte LTD

Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)

Agoda International Pte LTD · 🌍 Bangkok

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal — ask the recruiter.

  • No government sponsor record hereNo government sponsor record covers this employer in this country.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
  • Confirmed live todayWhen a source last listed this job as open.

A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.

Start free →

Or apply yourself on the official page →

Why not apply?

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →

Sponsor Radar — Agoda International Pte LTD

Sponsorship not verified for this country

No government sponsor record covers this employer in this country.

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Agoda International Pte LTD →

About the role

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 The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team? Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: • Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes • Able to analyze data to help us make better decisions • Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production • Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks • We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace What You’ll need to Succeed: • Bachelor’s degree in computer science/information systems/engineering/related field 8+ years of experience in software engineering with at least 6+ years in data/ml engineering • Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality • Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala • Expert in software design/design patterns/best practices, functional programming and object-oriented progra

View the official posting →

Source: Greenhouse (employer board) First seen: 2026-08-28 Last confirmed: 2026-10-03 How our data works → Report this job

Similar opportunities