You will drive recruitment strategies for Agoda's Technology Department, focusing on identifying high-quality technical talent globally. Acting as a subject matter expert, you will partner with senior leaders and hiring managers to deliver exceptional hiring outcomes and meet business objectives. Your role involves end-to-end management of the recruitment process, from sourcing and screening to closing, while fostering an inclusive and diverse candidate experience. You will collaborate closely with Tech Sourcers and stakeholders to align on recruitment targets and implement creative sourcing strategies. By leveraging data and market insights, you will influence hiring decisions and optimize recruitment pipelines. This position requires the ability to operate autonomously in a fast-paced environment while maintaining strong cross-functional partnerships.
LINE MAN Wongnai is Thailand's leading provider of On-Demand Services, Merchant Digital Solutions, and Payment and Financial Services. We are seeking a Machine Learning Engineer for a 12-month contract to lead the migration of our machine learning and production model infrastructure to a modernized cloud environment. You will work directly with the Machine Learning Engineering and Data Science teams to re-platform existing training, serving, and feature data pipelines onto new cloud-native infrastructure. This is a hands-on execution role focused on the migration project, requiring the ability to ramp up quickly and contribute within the first few weeks. The role involves re-platforming the ML lifecycle, driving application integration, and ensuring production health during the transition. The successful candidate will be responsible for migrating MLOps infrastructure, training pipelines, and CI/CD workflows, as well as migrating data and feature pipelines to ensure uninterrupted data flow. You will establish monitoring and incident response for data quality and model drift during the cutover. Post-migration, you will optimize system performance by troubleshooting bottlenecks and tuning models for latency and cost efficiency. The role requires a pragmatic engineering approach to deliver against a fixed scope and timeline while ensuring a clean handover of documentation and ownership to the full-time team.
You will drive recruitment success for Agoda's Technology Department by developing and executing strategic hiring plans. Your primary focus will be sourcing and engaging high-quality technical talent across various engineering disciplines. Acting as a strategic advisor, you will partner closely with hiring managers and technical stakeholders to understand complex hiring needs and deliver exceptional candidate experiences. You will leverage data-driven insights to optimize sourcing channels and improve overall recruitment efficiency. This role requires you to manage the full recruitment lifecycle for specialized technical positions. You will collaborate with sourcers and coordinators to build robust talent pipelines and ensure a seamless hiring process. You will also work independently to navigate ambiguous situations and make effective decisions quickly. Your ability to influence stakeholders and implement creative sourcing strategies will be key to attracting top engineering talent.
We are seeking a hands-on Team Lead to drive the discovery, design, and delivery of automation solutions within the Finance and FinTech sectors. This role requires a blend of technical expertise and leadership to improve data and workflow efficiency. You will own a major automation workstream, managing the full lifecycle from initial design through to production support and ongoing maintenance. As a Team Lead, you will remain actively involved in delivery while mentoring team members and ensuring solution quality. You will leverage a diverse toolkit, including code, low-code platforms, APIs, workflow tools, RPA, and AI, to address complex business challenges. The focus is on practical, end-to-end solutions that enhance operational efficiency and accuracy. You will partner closely with Finance subject matter experts, data owners, and engineering teams to break down complex requirements and deliver measurable improvements in straight-through processing and operational risk.
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 6+ years of experience in software engineering with at least 4+ 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 programming. * Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc. * Familiar with general Machine Learning concepts and common models – ie, regularization, Tree Models, etc * Familiar with statistical analysis concepts – ie, p-value, z-score, etc * Analytical problem-solving capabilities & experience. A strong data-driven engineering driven mindset will be required to succeed in this role. It’s great if you have: * Good understanding of Hadoop ecosystems and Big Data architecture and technologies * Experience with Scala/Scala Spark development * Working in an agile environment using test driven methodologies * Systems administration skills in Linux Benefits * Hybrid Working Model * WFH Set Up Allowance * 30 Days of Remote Working from anywhere globally every year * Employee discount for accommodation globally * Global team of 90+ nationalities * 40+ offices and 25+ countries * Annual CSR / Volunteer Time off * Benevity Subscription for employee donations * Volunteering opportunities globally * Free Headspace subscription * Free Odilo & Udemy subscriptions * Access to Employee Assistance Program (third party for personal and workplace support) * Enhanced Parental Leave * Life, TPD & Accident Insurance Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works. 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](https://careersatagoda.com/privacy-statement). 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. Apply Now Senior/Staff Data Engineer – Bidding (Bangkok based, relocation provided) +93 Given that the majority of our team is based in Bangkok, would you be open to relocating there? We offer visa sponsorship and comprehensive relocation assistance. Do you as a candidate have a personal relationship with a current Agoda employee? If yes, please indicate how you know the employee? What is the employee’s name? Have you read our Engineering blog? (https://medium.com/agoda-engineering) Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? In which country/region are you currently based? Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. How did you hear about this job? Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering, and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor, and support physical facility conditions. You will handle heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution, and control and monitoring systems. You regularly help inspect, maintain, and repair various data center systems such as piping and non-critical electrical or mechanical system components. As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
We are looking for an Associate Director to join the largest and fastest growing online hotel booking platform in Asia based in Bangkok, Thailand. Agoda is a strongly data driven organization: as an Associate Director, your insights will impact strategic and tactical decisions driving business growth. **Responsibilities:** As a pivotal leader in Data Analytics, you will drive transformative business impact by leading a team to deliver strategic, action-oriented insights. Your role is crucial in shaping data-driven decisions that enhance Agoda’s competitive edge and operational efficiency. **Strategic Leadership:** * Spearhead analytical projects that align with stakeholder needs, from problem definition to insightful communication of results, influencing key areas like Marketing, Product, and Partner Services. * Lead initiatives such as predictive modeling to optimize customer wait times and call demand, customer segmentation for personalized service, and the creation of innovative dashboards for business intelligence. **Business Impact:** * Collaborate with stakeholders to uncover business opportunities, leveraging data to inform strategic decision-making. * Proactively prioritize business strategies through insightful data analysis, driving growth and efficiency. * Ensure timely, error-free delivery of analytical outputs, enhancing decision-making processes across the organization. **Team Excellence:** * Guide your team in defining business problems, extracting and analyzing data, and presenting findings through compelling visualizations. * Balance multiple priorities, maintaining clear communication with stakeholders on progress and delivery timelines. * Strengthen team resilience, mitigating risks of process or system failures. * Mentor and develop team members, fostering a culture of continuous improvement and career growth. **Qualifications and Experience** * Bachelor’s degree in mathematics, statistics, data science, computer sciences, engineering or a related degree program with outstanding academic results * 8+ years of relevant experience, including 4+ years of experience as a people manager * SQL proficiency: can extract data from large databases using SQL to develop data queries * Excellent problem-solving skills including the ability to analyze and resolve complex problems * Strong business sense * Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds * Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines * Fluent in English both spoken and written – additional languages are a plus **Attitude** * Curious, proactive, practical and solution-oriented with “Get it done!” attitude * Data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels * Interested in telling an impactful story with analysis and smart data visualization, not just number crunch * Able to work in a highly multi-cultural team * Attentive to detail and committed to data integrity * Aware of the importance of discretion, confidentiality, and ethical behavior **What we offer** * Be part of a dynamic and exciting data-driven multinational team in a successful and fast-growing tech company * A clearly defined career path will help you to continuously develop your skills. * The chance to propose ideas to improve operations based on data and have an impact on the customer experience * Benefit: * Relocation package for employees joining from abroad * International health insurance * Annual performance bonus * Parking fees reimburse * Discount for Agoda employee booking on Agoda.com
The ESG Analyst supports SCGP's sustainability strategy by managing and analyzing ESG data, conducting assessments, and monitoring risks and opportunities. Responsibilities include collecting and consolidating ESG data, analyzing performance, preparing reports, supporting ESG ratings, and assisting in the development of ESG strategy and plans. The role also involves conducting gap assessments, monitoring regulations, and coordinating with functions to drive ESG initiatives. Candidates must have a Bachelor's or Master's degree in a related engineering field, 0-3 years of experience in sustainability or operations, and strong analytical and communication skills. Proficiency in English is required.
This role is part of the Performance Marketing Team, a data-driven unit focused on developing at-scale marketing programs to improve customer lifetime value. The Associate Manager will manage digital advertising campaigns across various channels. Responsibilities include experimenting with search engine advertising, testing display campaigns on social media platforms, and analyzing data to build optimization models and dashboards. The position requires a strong analytical background and experience in strategy or business operations within the tech industry.
This role involves working within the Performance Marketing Team to develop at-scale marketing programs that improve customer lifetime value. The position focuses on data-driven strategies across search and display channels. Responsibilities include experimenting with text ads and bidding structures on major search engines like Google and Bing, as well as testing and optimizing campaigns on social platforms such as Facebook and Instagram. The role also requires analyzing data from experiments to develop optimization models and building dashboards for account managers. Candidates must possess strong numerical reasoning skills and proficiency in Excel. The ideal candidate holds a Bachelor’s Degree or higher in a quantitative subject such as computer science, mathematics, or engineering. Fluency in English is required. The role offers a great learning environment where you will work closely with experts from diverse backgrounds.