KKP's Data Exchange team is hiring a Data Engineer to enhance how data moves across the organization, including ingestion into the enterprise data platform and system-to-system integrations. The role involves building scalable, resilient pipelines, implementing data quality checks, managing workflow orchestration, and supporting outbound data delivery on Azure. The position partners with stakeholders across business domains to define data exchange requirements and apply data governance and privacy principles. Kiatnakin Phatra Bank delivers banking and capital-market services nationwide, and the team values clean code, curiosity, and shared learning. The role requires hands-on experience delivering end-to-end data solutions, proficiency in Python and SQL, and strong practical experience with Databricks and Apache Spark. Candidates should have experience with streaming or event-driven pipelines using Kafka, workflow orchestration tools such as Airflow or Azure Data Factory, and cloud-based data platforms on Microsoft Azure, with AWS exposure considered a plus.
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CP Axtra (Makro Pro) is hiring a Data Engineer to design, implement, and maintain data infrastructure and pipelines. The role focuses on building scalable data pipelines and ETL processes, optimizing data warehouses and data lakes, and ensuring data quality, consistency, and reliability across data systems. The engineer will collaborate with data scientists, analysts, and cross-functional stakeholders to meet data requirements, develop data models and schemas, implement security and access controls, optimize query performance, and evaluate new data technologies. The position also involves mentoring junior data engineers and providing technical leadership.
**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.
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
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
Capco is hiring a Data Engineer (Intermediate/Senior) to design and implement reusable data ingestion and transformation pipelines within a Data Lake or Lakehouse implementation programme. The role collaborates with Data Architects, Business Analysts, BI developers, and client technology teams. The engineer will develop batch, CDC, and streaming ingestion pipelines; implement Bronze, Silver, and Gold data layers; build reusable pipelines and data products; and add data quality, reconciliation, validation, and monitoring controls. The role also supports migration, integration testing, UAT, production release, knowledge transfer, and BAU handover.
Capco, a Wipro company, is hiring a Senior Data Engineer to support BankX's digital banking platform. The role focuses on designing, building, and maintaining scalable data pipelines and infrastructure for analytics, AI/ML, and business intelligence use cases. Responsibilities include building ETL/ELT workflows, implementing Lakehouse architecture with Azure Data Services, Databricks, and Delta Lake, ensuring data quality and governance, and collaborating with Data Architects, Data Scientists, and Analysts. Candidates need 5+ years of data engineering experience, strong SQL and Python skills, hands-on Azure/Databricks/Delta Lake experience, and intermediate Thai and English proficiency.
Sertis, a Bangkok-based data and AI engineering company, is hiring a Data Engineer Intern to gain hands-on experience building and supporting data pipelines for real-world projects. Working alongside experienced data engineers, the intern will collect, transform, and organize data from different sources and learn how reliable data systems support analytics and AI solutions. Key duties include implementing ETL processes, selecting and integrating big data tools, monitoring performance, and solving business challenges using large structured and unstructured data. Candidates should be studying a Bachelor's degree in Computer Science or a related field, with knowledge of SQL and Python, basic Docker/containerization and big data technology exposure, and good communication skills.
A large-scale technology organisation is hiring a Lead/Staff Data Engineer to join a high-impact team at the intersection of data engineering, business analytics, ML engineering, and backend engineering. The team builds pipelines, platforms, and tools that enable Data Science and Performance Marketing teams to run experiments in production at scale. The role involves end-to-end ownership of systems that allow experiments to launch in production at pace, partnering with experienced engineers and product owners. Candidates need a Bachelor's degree in Computer Science or a related field, 6+ years of software engineering experience including 4+ years in data/ML engineering, and expert-level skills in SQL, Python3, and a JVM-based language (Java or Scala). Familiarity with machine learning concepts, statistical analysis, and modern data/ML stacks (Spark, Hadoop, S3) is required. Relocation sponsorship is provided.
Sertis, an ASEAN data and AI engineering company based in Bangkok, is hiring a Data Engineer Intern to support real-world data pipeline projects. The intern will work with experienced data engineers to collect, transform, and organize data from multiple sources, implement ETL processes, and monitor infrastructure performance. The role offers hands-on exposure to data engineering for AI/ML use cases, containerization technologies, and collaboration with an international team. Candidates should be pursuing a Bachelor's degree in Computer Science or a related field, with knowledge of SQL and Python. Basic familiarity with Docker, containerization, and big data tools such as Spark, Hadoop, or Hive is expected, along with an interest in public cloud technologies and the ability to learn new technologies quickly.