Accenture is seeking an experienced SAP Data Migration Lead to drive large-scale SAP transformation programs with a focus on data migration strategy, execution, and governance. This role plays a critical part in ensuring high-quality, business-ready data that enables successful SAP S/4HANA implementations and supports long-term business value. As a senior leader, you will collaborate with cross-functional stakeholders, guide technical and functional teams, and shape data migration approaches that align with business objectives, delivery timelines, and quality standards.
The Hardware Operations team manages the physical infrastructure that powers Google's search technology. As an Operations Technician, you will install, configure, test, and maintain server hardware and Linux clusters. You will also configure complex networking components such as routers, switches, and bridges. This role involves leading small project teams for larger installations and developing contingency plans. You will work with cutting-edge infrastructure, performing manual tasks like rack installation and movement.
The Technical Infrastructure team builds the architecture that keeps Google's products running. You will deploy new data center infrastructure across teams and ensure the security and integrity of data. The role requires diagnosing and troubleshooting equipment issues while maintaining high security standards. You will perform preventative maintenance and end-of-life disassembly of equipment. This position is essential for keeping Google's networks up and running efficiently.
LINE MAN Wongnai is Thailand's leading on-demand delivery and lifestyle e-commerce platform. We are seeking a Senior Software Engineer to join our development team and help build the technology that powers our ecosystem. You will work on critical backend systems that serve millions of users daily across food delivery, ride-hailing, and financial services.
In this role, you will be responsible for designing and developing scalable backend systems using Golang and Java. You will lead architectural decisions for major components, drive cross-functional collaboration, and ensure high performance and reliability. The position requires a strong commitment to quality, from initial design through deployment and production maintenance.
This role focuses on providing technical support for software applications and cloud infrastructure. You will assist in maintaining system stability and resolving technical issues that impact business operations. The position requires a strong understanding of cloud technologies and the ability to troubleshoot complex technical problems efficiently.
You will collaborate with cross-functional teams to ensure seamless integration of cloud services and applications. The role involves monitoring system performance and implementing necessary updates to enhance security and reliability. Success in this position requires a proactive approach to problem-solving and a commitment to delivering high-quality technical support.
This role focuses on analyzing customer financial information to assess credit risk and support credit decisions. You will manage credit documentation and monitor receivables to ensure working capital efficiency. The position leverages data visualization, AI, and digital tools to enhance credit analysis and streamline work processes.
You will collaborate with sales teams to manage credit approvals and limit adjustments while resolving collection issues. The role involves preparing credit reports and participating in stakeholder reviews. You will also analyze and visualize financial data through dashboards to support business decision-making.
The Global Privacy environment is changing at a speed never seen before and while this poses a significant challenge for global businesses such as ours to keep up with the laws, it also presents a great opportunity for you to be a part of a global data privacy team directly contributing to build the trust of our users, employees, and partners at Agoda.
As a Data Privacy Analyst, you will support Agoda’s Privacy Advisory function by helping the team provide timely, well-organized privacy legal advice across the business, while also keeping the engine room of the advisory practice running smoothly – from knowledge management to performance metrics. You will work closely with a world class privacy team comprising of subject matter experts, security professionals and technology teams in a global work environment.
In this Role,you’ll get to:
* Conduct fact-finding for privacy advisory queries – gathering relevant business context, prior guidance and documentation to facilitate efficient legal assessment of requests
* Provide support on privacy advisory matters, including drafting initial reviews and assessments under guidance
* Support training and awareness initiatives and regulatory change management initiatives
* Actively manage the privacy advisory repository from end-to-end
* Establish, review & improve privacy policies, standards, and procedures
* Identify & manage privacy risks associated with 3rd parties
* Upkeep,maintain and improve privacy controls
* Improve privacy team’s efficiencies using data analytics (Metrics, Key Risk Indicators, Dashboards, Trend analysis)
* Provide project management support for specific privacy projects
What you’ll Need to Succeed:
* A genuine interest in data privacy and/or technology law
* 1-2 years’ experience in Legal,Governance, Risk or Compliance disciplines
* Excellent organizational skills and attention to detail
* Great written and verbal communication skills
* Well versed with MS Office suite
* Willingness to go the extra mile to get the job done including routine and,administrative,tasks
* Curiosity & willingness to explore privacy concepts and ask questions
* Proficient in English
It’s Great if you Have:
* Basic understanding of privacy concepts or laws (GDPR, PDPA,etc)
* Experience with data/metrics tracking (Excel, dashboards, etc.)
* Prior exposure to legal document or template management
* Ability to execute at pace and multi-task in an agile environment
We Offer:
* A dynamic role in a fast-growing team of a reputable global company
* Working in an international environment
* Great opportunities for further development in data privacy,cybersecurity and artificial intelligence
* Working in a team of flexibly minded and highly skilled professionals
Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.
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.
The Data department oversees all of Agoda’s data-related requirements. Our ultimate 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. 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 Data department, but also the reward.
We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
In This Role, You’ll Get to
* Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
* Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
* Work with developers and a variety of business owners to deliver daily results with the best quality.
* Research discover and harness new ideas that can make a difference
What You’ll Need to Succeed
* 4+ years hands-on data science experience.
* Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
* Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
* Can lead, work independently as well as play a key role in a team.
* Good communication and interpersonal skills for working in a multicultural work environment.
It’s Great if You Have
* PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
* Experience in NLP, image processing and/or recommendation systems
* Hands on experience in data engineering, working with big data framework like Spark/Hadoop
* Experience in data science for e-commerce and/or OTA
We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
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.
**THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)**
**Location: Bangkok, Thailand (*Not open for remote work)**
**Get to Know our Team:**
The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
**The Opportunity:**
As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
**In this Role, you’ll get to:**
* Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output)
* Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
* Proactively identify opportunities for growth within supply and the wider business.
* Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
* Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
* Automate manual operational processes and present back on time savings gained through modernization of business operations
**What you’ll Need to Succeed**:
* At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI
* Advanced working knowledge and hands-on experience in SQL
* Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably)
* Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R)
* Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
* A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.)
* Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
* Experience in conducting A/B testing experimentation
* Strong experience in finding data insights and provide business recommendation to the business
* A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
* Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
* Data driven in both decision making and performance measurement.
* Extreme comfort in ambiguous, fast-paced environment.
* Ability to multi-task, prioritize and coordinate resources.
**It’s Great if you Have:**
* MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
* Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
* Asian market experience.
* Travel industry / e-commerce / tech / consulting experience.
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)
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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.
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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:**
Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.
**The Opportunity:**
* You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers.
* You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces.
**What You’ll Do:**
* Model governed metrics, dimensions, joins, and grain for business domains
* Structure expert context, glossaries, and validated question patterns as Git-reviewed assets
* Build freshness, drift, and validation signals; treat stale knowledge as a production issue
* Expose the layer through APIs so applications and agents get deterministic answers
* Enable domain owners to propose, review, and publish knowledge without engineering deploys
* Partner across analytics, product, and platform teams on access control and quality standards
**Required Qualifications:**
* 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling
* Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent)
* Strong SQL and analytical modeling on OLAP / warehouse systems
* Knowledge engineering: versioned definitions, peer review, contributor workflows
* API / service mindset: you design for multiple consumers, not a single dashboard
* Clear communication across engineering, analytics, and product partners
**Preferred Qualifications:**
* Open-source semantic layer engines (Cube, MetricFlow patterns)
* Agent or tool-interface experience for LLM-powered applications
* NL-to-data products, retrieval, or evaluation harnesses
* Python or Node.js service development
* Large-scale e-commerce or travel analytics environments
