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Skills:

SQL, Power BI, Python

Job type:

Full-time

• วิเคราะห์ข้อมูลลูกค้า สมาชิก และพฤติกรรมการใช้บริการ เพื่อค้นหา Insight และโอกาสในการพัฒนาธุรกิจ.
• วิเคราะห์ผลการดำเนินงานของ Loyalty Program และแคมเปญ CRM พร้อมจัดทำข้อเสนอแนะเพื่อเพิ่มประสิทธิภาพ.
• จัดทำ Dashboard และรายงานผลการดำเนินงาน เพื่อสนับสนุนการตัดสินใจของผู้บริหาร.
• พัฒนา Customer Segmentation และติดตามตัวชี้วัดด้านลูกค้า เช่น Acquisition, Retention และ Engagement.
• ดึง ตรวจสอบ และวิเคราะห์ข้อมูลจากฐานข้อมูลด้วย SQL และเครื่องมือ Business Intelligence (BI).
• ประสานงานกับทีมการตลาด หน่วยงานธุรกิจ และทีม Data เพื่อสนับสนุนการวิเคราะห์และขับเคลื่อนธุรกิจด้วยข้อมูล.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไป สาขาสถิติ วิศวกรรมศาสตร์ เศรษฐศาสตร์ บริหารธุรกิจ การตลาด หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน Data Analytics, CRM, Loyalty Analytics หรือ Business Intelligence อย่างน้อย 2 ปี.
• สามารถใช้งาน SQL, Microsoft Excel และ Power BI ได้เป็นอย่างดี.
• มีทักษะในการวิเคราะห์ข้อมูล และนำเสนอข้อเสนอแนะเชิงธุรกิจ.
• มีทักษะการสื่อสารและการนำเสนอ สามารถประสานงานกับผู้เกี่ยวข้องได้อย่างมีประสิทธิภาพ.
• หากมีประสบการณ์ด้าน Customer Analytics, CRM Platform หรือ Python จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะที่จำเป็น.
• SQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking.

Experience:

2 years required

Skills:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, SQL

Job type:

Full-time

• 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).
• 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.
• 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.
• 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.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• 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.

Experience:

1 year required

Skills:

Thai

Job type:

Full-time

• 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.
• The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• In this Role, you'll get.
• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• What you'll Need to.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science).
• Fresh graduation are welcome.
• (0-1 years of experience).
• Ability to communicate fluently in English.
• Basic business acumen.
• Proficient in statistics and Excel.
• Exposure to data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau).
• Familiar with A/B testing concepts.
• Works under close supervision and supports projects with guidance.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• 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.

Skills:

Big Data, Power BI, Python

Job type:

Full-time

• Data Modeling & Machine Learning: พัฒนา ทดสอบ และนำ Machine Learning Models ไปใช้งานจริง (Production) เพื่อสนับสนุนการแก้ไขปัญหาและสร้างโอกาสทางธุรกิจ เช่น Sales Forecasting, Optimization, Fraud Detection และ Use Cases อื่น ๆ ที่เกี่ยวข้อง.
• Advanced Analytics: วิเคราะห์ข้อมูลโดยใช้เทคนิคทางสถิติขั้นสูงและ Algorithms เพื่อค้นหารูปแบบ (Patterns) ความสัมพันธ์ และข้อมูลเชิงลึกจากข้อมูลขนาดใหญ่ (Big Data) ตั้งแต่ขั้นตอน Data Exploration ไปจนถึง Advanced Analytics.
• Dashboard & Reporting: พัฒนา ดูแล และปรับปรุง Dashboard ด้วย Power BI เพื่อใช้ติดตาม ...
• Business Analysis: วิเคราะห์ข้อมูลเพื่อค้นหา Insights แนวโน้ม (Trends) โอกาสทางธุรกิจ และสาเหตุของปัญหา เพื่อสนับสนุนธุรกิจต่าง ๆ ภายใน BCP Group เช่น Marketing, Refinery, Solar, Biofuel และธุรกิจอื่น ๆ ที่เกี่ยวข้อง.
• Data Interpretation & Business Insights: แปลผลข้อมูลและผลการวิเคราะห์ให้เป็นข้อเสนอแนะที่สามารถนำไปปฏิบัติได้ (Actionable Insights) เพื่อเพิ่มรายได้ ลดต้นทุน หรือเพิ่มประสิทธิภาพในการดำเนินงานของธุรกิจ เช่น โรงกลั่นน้ำมัน สถานีบริการ และธุรกิจอื่น ๆ.
• Insight Communication: จัดทำ Data Visualization และนำเสนอผลการวิเคราะห์ที่ซับซ้อนให้อยู่ในรูปแบบที่เข้าใจง่าย สามารถสื่อสารกับผู้บริหารและหน่วยงานธุรกิจได้อย่างมีประสิทธิภาพ โดยสามารถใช้ Power BI ในการนำเสนอข้อมูลได้เป็นอย่างดี.
• Business Value Delivery: สามารถเชื่อมโยงผลงานด้าน Data & Analytics ให้เกิด Business Value ที่วัดผลได้ และรับผิดชอบ KPI ที่เกี่ยวข้องกับคุณค่าทางธุรกิจ เช่น Revenue Enhancement, Cost Saving, Productivity Improvement หรือ Efficiency Improvement.
• ปริญญาตรี/โท สาขาวิทยาการคอมพิวเตอร์, สถิติ, คณิตศาสตร์, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้าน Data Analytics/Business Intelligence 1-3 ปี.
• ทักษะการเขียนโปรแกรม Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) อย่างดี.
• เชี่ยวชาญการใช้ SQL สำหรับดึงข้อมูลในระดับสูง.
• ทักษะในการใช้เครื่องมือ Visualization (Power BI).
• มีความเข้าใจบริบททางธุรกิจ (Business Acumen) และสามารถสื่อสารข้อมูลที่ซับซ้อนได้ดี.
• พฤติกรรมและคุณลักษณะที่คาดหวัง (Behavioral Competencies).
• Collaboration & Teamwork: มีทัศนคติในการทำงานเป็นทีม พร้อมให้ความร่วมมือและสนับสนุนเพื่อนร่วมงานเพื่อให้ทีมสามารถบรรลุเป้าหมายร่วมกัน.
• Business Mindset: สามารถมองงานด้าน Data & Analytics ในมุมมองของธุรกิจ และมุ่งเน้นการสร้างผลลัพธ์ที่สามารถนำไปใช้ประโยชน์และสร้างคุณค่าให้กับองค์กรได้จริง.
• Problem Solving: มีความสามารถในการวิเคราะห์ปัญหาอย่างเป็นระบบ สามารถค้นหาสาเหตุและนำข้อมูลมาใช้ในการพัฒนาแนวทางแก้ไขที่เหมาะสม.
• Communication: สามารถสื่อสารข้อมูลเชิงเทคนิคและผลการวิเคราะห์ให้ผู้ที่ไม่มีพื้นฐานด้าน Data เข้าใจได้อย่างชัดเจน.
• Ownership & Flexibility: มีความรับผิดชอบต่องาน มีความยืดหยุ่น และพร้อมสนับสนุนงานในช่วงเวลาที่จำเป็นเพื่อให้งานหรือโครงการสามารถดำเนินการได้ตามเป้าหมาย.
• ลักษณะและเงื่อนไขการทำงาน (Working Conditions).
• สามารถปฏิบัติงานประจำสำนักงานตามเวลาทำงานของบริษัท 5 วันต่อสัปดาห์.
• สามารถสนับสนุนงานด้าน Data Preparation, Data Loading, Data Cleansing หรือการนำระบบขึ้น Production นอกเวลาทำงานปกติหรือในวันหยุดได้เป็นครั้งคราว ตามความจำเป็นของโครงการ.

Skills:

Risk Management, Assurance, ISO 27001, Power BI, Tableau

Job type:

Full-time

Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society's biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working toget ...

Experience:

5 years required

Skills:

Analytical Thinking, Recruitment, Leadership Skill, Big Data, Tableau

Job type:

Full-time

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 sa ...

Skills:

Compliance, Civil Engineering, Electrical Engineering

Job type:

Full-time

• Lead and manage all on-site construction activities for data center projects from start to completion.
• Site Supervision & Project Execution: Manage on-site engineering operations, ensuring all activities align with project plans, technical specifications, and timelines..
• Construction Quality & Safety Compliance: Ensure all construction activities comply with local and international engineering standards, regulations, and safety protocols..
• Coordination & Communication: Work closely with project team, contractors, consultants, and key stakeholders to ensure smooth project execution..
• Technical Review & Problem-Solving: Analyze engineering designs, reports, and specifications to identify and resolve technical issues efficiently..
• Progress Monitoring & Reporting: Track project milestones, prepare site reports, and provide updates to senior management and stakeholders..
• Material & Resource Management: Tracking, foreseeing, and addressing the availability of materials and key equipment to ensure smooth project execution..
• Stakeholder Liaison: Maintain effective communication with local authorities, subcontractors, and project teams to facilitate seamless operations..
• Job Qualifications.
• Bachelor's degree in Civil Engineering, Electrical Engineering, or related field or a related field.
• Minimum 3-10 years of experience in large-scale infrastructure or construction projects (experience in data center projects is a plus but not required)..
• Strong technical knowledge of power systems, cooling solutions, and network architecture.
• Strong leadership, problem-solving, and cross-cultural communication skills..

Skills:

ETL, SQL, Python

Job type:

Full-time

• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingestion from a wide array of sources.
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor's degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

Experience:

5 years required

Skills:

Google Cloud Platform, Data Warehousing, Architecture, Assurance, English

Job type:

Full-time

Who We Are Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise. What We Do Sertis provides both productized and bespoke AI and Data solutio ...

Experience:

5 years required

Skills:

Electrical Engineering, Mechanical Engineering, Cloud Computing

Job type:

Full-time

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 5 years of Electrical experience (electrical testing equipment or electrical distribution) in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective eq ...
• Ability to work non-standard hours and work rotations/shifts.
• 5 years of experience in maintenance of electrical distribution systems or construction/technical environment or a related field.
• Experience in data centers, hospitals, or power plants.
• Knowledge of electrical systems used in a data center environment (e.g., Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units).
• Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.
• Ability to communicate with contractors who perform maintenance or upgrade work on the data center systems.
• 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 facilities conditions. Some of these duties will include 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.
• As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.
• The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Inspect, maintain, and repair various data center systems.
• Provide daily assistance to technicians, read blueprints/schematics/sequence of operations, conduct tours of systems, and assess their working order.
• Manage the uptime and maintenance of UPS, generators, electrical distribution, and control and monitoring systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Support startup, commissioning, and integration of new electrical equipment and systems into facilities infrastructure.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

Flowaccount, SQL, Amazon AWS

Job type:

Full-time

• Build and maintain ELT pipelines from operational databases (SQL Server) and domain events (RabbitMQ) into Redshift.
• Write and maintain dbt models and tests; own data-quality checks and freshness SLAs.
• Work in AWS: S3 (staging/lake), Glue/DMS for ingestion, Lambda/Step Functions for orchestration, CloudWatch for monitoring.
• Consume and reason about domain events (e.g. JournalEntryCreated-style events) not just batch table dumps.
• Participate in on-call rotation for pipeline/data incidents.
• Mid (3-5 years).
• Implement pipelines and dbt models to a given design spec.
• Maintain and extend existing Redshift schemas.
• Handle defined CDC jobs and respond to data-quality alerts.
• Senior (6+ years) in addition to the above.
• Own warehouse schema/model design (star/snowflake, SCD strategy, partitioning, dist-key/sort-key strategy for cost and performance).
• Define data contracts with backend/DDD service owners event schema versioning, breaking-change policy, deprecation process.
• Own the data-quality/SLA framework end-to-end, including DLQ handling for failed event consumption and incident runbooks.
• Make build-vs-buy calls on orchestration tooling; mentor Mid-level engineers.
• New-Data Intake (how this role interacts with Analytics Engineering).
• Receive data requirement specs from the Analytics Engineer (what event, what fields, why).
• Determine whether the source data already exists upstream (product/backend event) or needs new instrumentation coordinate with the owning backend team if instrumentation is needed.
• Build/extend the ingestion pipeline and warehouse schema to land the new data.
• Hand off to Analytics Engineering once the data is queryable.
• You own how new data gets into the warehouse. Analytics Engineering owns what data is needed and why.
• Strong SQL (Redshift or another columnar/MPP warehouse).
• Python or Spark for pipeline/transformation work.
• Experience with dbt and an orchestrator (Airflow, Dagster, or equivalent).
• Experience with streaming/event-driven ingestion (Kafka, Kinesis, MSK, or RabbitMQ), not just batch ETL.
• Familiarity with AWS data services (S3, Glue, Lambda, Step Functions).
• (Senior) Track record owning data-model design and cross-team data contracts.
• Preferred.
• Experience with CDC tools (DMS, Debezium).
• Experience handling PII/financial data under a compliance regime (PDPA or equivalent) including tenant/row-level isolation in a multi-tenant warehouse.
• Prior experience in a DDD/microservices backend environment.
• What We Offer.
• Build products used by tens of thousands of businesses.
• Ship code that reaches customers quickly.
• High ownership with minimal bureaucracy.
• Learn from experienced engineers and product leaders.
• Flexible work hours and 45 days/year work from anywhere.
• Competitive compensation, health & accident insurance from day one.
• 17-19 public holidays, 12 personal leave days, and 8 annual leave days.
• A friendly, collaborative team that genuinely enjoys building together.
• Clear opportunities to grow your career as the company scales.
• BKK BangRak Office (MRT Samyan or BTS Saladaeng).
• Work with a modern tech stack | Impact thousands of users | Collaborative, growth-oriented team.

Skills:

Analytical Thinking, Product Development, Architecture, Recruitment, Javascript

Job type:

Full-time

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 sa ...

Experience:

5 years required

Skills:

Mechanical Engineering, Thai

Job type:

Full-time

• We believe that leaving a mark is a true challenge and opportunity for every one of us.
• We believe that leaving a mark is a sign of trust and impact.
• We believe that leaving a mark is a bond with the future.
• We believe that leaving a mark is proof of growth and development.
• Being part of the BV family, is more than just working, it's being convinced that you will leave your mark. in shaping a world of Trust.
• Join an inclusive, flexible and diverse company where you can thrive while contributing to positively transforming the world, we live in.
• Project: Hyperscale Data Center.
• Location: Bangkok, Thailand.
• Contract Duration: 20 months.
• We are seeking a qualified and proactive Mechanical Engineer to support the design review, construction supervision, and commissioning of mechanical systems for a large-scale hyperscale data center project in Thailand.
• The Mechanical Engineer will be responsible for ensuring that all mechanical systems, particularly cooling and HVAC systems critical to data center operations, are delivered in accordance with project specifications, quality standards, and performance requirements. The role will work closely with the Project Manager, discipline engineers, and contractors to ensure seamless coordination and technical excellence.
• Review and validate mechanical system designs, drawings, and specifications (HVAC, chilled water systems, piping, ventilation, etc.).
• Monitor and supervise mechanical works on-site, ensuring compliance with approved designs and construction standards.
• Review and comment on contractor submittals, including shop drawings, material submissions, and method statements.
• Ensure compliance with project specifications, international standards, and local regulatory requirements.
• Conduct regular site inspections to verify quality of installation, workmanship, and progress.
• Coordinate closely with electrical, CSA, and ELV teams to ensure proper system integration.
• Support and oversee testing and commissioning activities, including pre-functional and functional testing.
• Identify and manage non-conformance reports (NCRs) and ensure corrective actions are properly implemented.
• Monitor project progress against schedule and highlight risks, delays, and technical challenges.
• Participate in technical and coordination meetings, providing input on mechanical systems and interfaces.
• Assist in snagging, de-snagging, and final inspections prior to project handover.
• Maintain accurate technical documentation, reports, and records in line with project requirements.
• Ensure compliance with HSE standards and promote safe working practices on site.
• Minimum 5 years of experience in mechanical engineering within construction or MEP projects.
• Proven experience in large-scale projects, preferably data centers, mission-critical facilities, or industrial developments.
• Strong expertise in data center cooling systems (e.g., chillers, CRAH/CRAC, cooling towers, chilled water distribution).
• Good understanding of HVAC design, installation practices, and system integration.
• Experience in site supervision, QA/QC processes, and contractor coordination.
• Familiarity with testing and commissioning processes for mechanical systems.
• Experience working in fast-track, high-specification projects with strict quality standards.
• Knowledge of local Thai regulations and codes is an advantage.
• Our people are ambitious and humble, believing in what they do and convinced that our purpose is shaping a world of trust. With responsibility and openness, they daily serve our 400.000 clients in 140 countries, to bettering society. Across all our businesses and countries, each one of our people leaves their mark in shaping society.
• We believe that leaving a mark is a true challenge and opportunity for every one of us.
• We believe that leaving a mark is a sign of trust and impact.
• We believe that leaving a mark is a bond with the future.
• We believe that leaving a mark is proof of growth and development.
• Being part of the BV family, is more than just working, it's being convinced that you will leave your mark. in shaping a world of Trust.
• Join an inclusive, flexible and diverse company where you can thrive while contributing to positively transforming the world, we live in.

Experience:

3 years required

Skills:

Microsoft Azure, Python, Apache, Kafka, SQL

Job type:

Full-time

• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful comfortable learning new technologies, embracing feedback, and improving how things are done.

Experience:

2 years required

Skills:

Problem Solving, Enthusiastic, Teamwork, SQL, English

Job type:

Full-time

• We're committed to bringing passion and customer focus to the business.*.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!*.
• Lumentum is seeking a Senior Data Engineer to join our Data Science and Data Engineering team. In this role, you will design, build, and optimize scalable data platforms, pipelines, and analytics solutions that enable data-driven decision-making across the enterprise. You will work closely with business leaders, data scientists, analy ...
• This is an opportunity to play a key role in advancing Lumentum's enterprise analytics capabilities by developing modern data architectures, improving data quality and accessibility, and enabling AI and advanced analytics initiatives. You will collaborate across functions including Sales, Operations, Manufacturing, Supply Chain, and Finance to deliver impactful solutions in a fast-paced and innovative environment.
• Design, develop, and maintain scalable data pipelines, data products, and enterprise data models that support analytics, reporting, machine learning, and AI initiatives across Lumentum.
• Build and optimize modern data architectures using Databricks, Delta Lake, Spark, SQL, and cloud-native technologies to enable high-performance analytics and trusted business insights.
• Develop and maintain curated semantic layers, business metrics, and governed datasets that power self-service analytics and conversational AI solutions such as Databricks Genie and other natural language query platforms.
• Partner with business stakeholders across Sales, Operations, Manufacturing, Supply Chain, Finance, and HR to translate business requirements into scalable data solutions and reusable data assets.
• Enable business users to interact with enterprise data through natural language interfaces by designing data models, metadata frameworks, business glossaries, and governance standards that improve AI-generated insights and query accuracy.
• Collaborate with Data Scientists, Analytics Engineers, and BI developers to support advanced analytics, predictive modeling, and AI-driven decision-making.
• Establish data quality, lineage, observability, and governance frameworks to ensure trusted, secure, and compliant enterprise data assets.
• Design and implement enterprise-wide KPI frameworks and metric definitions to create a single source of truth across functional domains.
• Optimize data performance, reliability, and scalability while reducing technical debt and improving platform efficiency.
• Support the development of AI-enabled analytics capabilities, including retrieval-augmented generation (RAG), vector search, knowledge repositories, and semantic search solutions that enhance data discovery and business productivity.
• Drive adoption of modern data engineering best practices including CI/CD, Infrastructure as Code, automated testing, and data lifecycle management.
• Partner with leadership and analytics teams to advance Lumentum's vision of a centralized, AI-enabled analytics organization.
• Degree in Computer Engineering, Computer Science, IT, or related fields.
• 10+years of hands-on experience as a Data Engineer or similar role.
• Strong SQL and data modeling skills, including Databricks, Delta Lake, Spark, SQL, and cloud-native technologies.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to support production environments.
• Good communication, problem solving skills, and teamwork mindset.
• Excellent English proficiency (reporting to foreign national).
• We are an equal opportunity employer and value diversity at our company. *.
• We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. *.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. *.
• Please contact us to request accommodation.*.

Experience:

7 years required

Skills:

Statistical Analysis, Architecture, Recruitment, Big Data, YouTube, Hadoop, Linux, Scala, Java, SQL

Job type:

Full-time

• 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 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.
• 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.
• 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.
• 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.
• 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.
• telaviv.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• 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.

Experience:

3 years required

Skills:

Architecture, Big Data, DevOps, Python, English

Job type:

Full-time

• A successful candidate will be working with our cloud-based Big Data Platform to digest marketplace data either structured or unstructured from different marketplaces in order to facilitate data utilization. The candidate will have to design and implement a strategic way to utilize all the data extracted from several marketplaces.
• The candidate will be also working closely with other application teams and product managers in order to align with other teams and business roadmap.
• Participate in designing and implementing as well as maintaining data pipelines for ...
• Demonstrate continuous improvement by inspecting and adopting new ideas for improving solutions, tools and processes.
• Work closely with members of IT (e.g. Architecture, DevOps and Business Analysts) to ensure the highest quality softwareCoach fellow associate data engineers.
• Capabilities.
• Bachelor Degree from Computer Engineering, Computer Science or related fields.
• Good knowledge of SQL, relational database design and efficient methods for working with large size of data.
• Good knowledge of Python.
• Understanding of fundamental design principles behind data-oriented application.
• Ability to understand business requirements and be able to express them in computer language.
• Ability to communicate in English, both written and oral form.

Experience:

1 year required

Skills:

Architecture, Kubernetes, Python, Docker, DevOps, Kafka, Java, ETL, English, Thai

Job type:

Full-time

• We are Thailand's leading provider of On-Demand Services (ODS), Merchant Digital Solutions(MDS), and Payment and Financial Services (PFS). We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for a passionate.
• Data Platform Engineer.
• with a strong software engineering skill to design and manage the development of scalable and reliable data platforms. You will help expand our data platform and enable our product engineering teams and data scientists to enrich the product experience. You'll be working in a fast-paced environment, intensive data users, tackling challenges that impact millions of people on our journey to becoming the No.1 delivery platform in Thailand.
• Define, i.
• mplement, and enforce architecture patterns and design principles to ensure that the platform is scalable, high-performance, reliable, and easy to use.
• Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
• Develop data models and architecture for end-to-end data pipelines both streaming and batch.
• Optimize and scale our data platform product across multiple teams in LMWN.
• Enable and support data engineers to optimize and improve ETL process by providing monitoring and tracking system.
• Work closely with cross-functional teams, including data scientists, analysts, product managers, and software engineers to drive value for our customers and business partners.
• Manage continuous deployment, monitoring, and maintenance of the data streaming platform in production and testing environments.
• Bachelor's degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
• 1+ years of software engineering experience.
• Strong programming skills (Python and/or Java preferred).
• Strong software engineering skills such as Data Structure and Algorithm and System Design.
• Experience with distributed computing technologies, e.g. Kafka, Flink, Spark, Hive, HDFS, Presto, Druid/Imply.
• Experience with data infrastructure components including Kubernetes and Docker.
• Experience with DevOps practices, CI/CD, monitoring, system logging,and SRE mindset.
• Proficient in English and Thai language skills.
• Based in or close to Thailand, or willing to relocate.

Experience:

5 years required

Skills:

Analytical Thinking, Problem Solving, Architecture, Leadership Skill, Big Data

Job type:

Full-time

• ออกแบบและพัฒนา Data Architecture (Data Lake / Data Warehouse / Data Pipeline).
• สร้างและดูแล ETL / ELT Pipelines เพื่อรองรับข้อมูลจากหลายแหล่ง (Structured / Unstructured).
• พัฒนา Data Models เพื่อรองรับการใช้งานด้าน Analytics และ Reporting.
• Experience.
• ประสบการณ์ 7 - 12 ปี ในด้าน Data Engineering / Data Platform.
• มีประสบการณ์บริหารทีม (2 - 5 ปีขึ้นไป).
• มีประสบการณ์ทำ Data Pipeline ขนาดใหญ่ หรือระบบที่มี Data Volume สูง.
• ________.
• Technical Skills.
• Programming: Python / SQL (Advanced).
• Big Data Tools: Spark, Hadoop, Kafka.
• Workflow Tools: Airflow, DBT.
• Cloud Platform: AWS / Azure / GCP.
• Data Warehouse: BigQuery, Snowflake, Redshift.
• ________.
• Skills & Competencies.
• Leadership & People Management.
• Problem Solving & Analytical Thinking.
• Stakeholder Management.
• Communication Skills (Technical & Non-technical).
• Project / Delivery Management.
• ________.
• Preferred Qualifications.
• มีประสบการณ์ด้าน Real-time Data / Streaming.
• มีความรู้ด้าน Data Governance / Data Security.
• มี Certification ด้าน Cloud หรือ Data Engineering.

Experience:

5 years required

Skills:

Microsoft Azure, Architecture, Python, DevOps, SAP, ERP, SQL, ETL

Job type:

Full-time

• Design, develop, and optimize enterprise-scale data platforms on Microsoft Azure Cloud.
• Build scalable and secure ETL/ELT data pipelines to support Data Lake, analytics, and AI/ML initiatives.
• Ensure high-quality, reliable, and cost-efficient data architecture while driving continuous improvement and technical best practices.
• Collaborate with cross-functional teams to deliver robust data engineering solutions and mentor junior engineers.
• Design and develop scalable data pipelines and cloud-based data architecture using Azure Data Factory (ADF), Databricks, Microsoft Fabric, and SSIS.
• Build ETL/ELT processes to integrate data from multiple sources such as SAP, ERP systems, APIs, and Excel into enterprise Data Lake and databases.
• Develop and optimize SQL, Python, and PySpark scripts for large-scale data processing.
• Monitor daily data pipeline operations, troubleshoot complex technical issues, and perform root cause analysis.
• Ensure data quality, accuracy, security, and optimize database performance.
• Prepare technical documentation, operation manuals, and share best practices with the team.
• Support continuous improvement by adopting emerging technologies and mentoring junior data engineers.
• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related fields.
• Minimum.
• 5 years.
• of experience in Data Engineering or related roles.
• Strong experience with.
• Microsoft Azure., Azure Data Factory (ADF), Databricks, Microsoft Fabric, and Data Lake.
• Strong proficiency in.
• SQL Server, T-SQL, Python, and PySpark.
• Experience in designing Data Warehouse, ETL/ELT processes, and integrating data from ERP/SAP systems and APIs.
• Knowledge of Cloud Architecture, CI/CD, DevOps practices, and Database Performance Tuning.
• Strong analytical and problem-solving skills with the ability to perform root cause analysis.
• Passion for learning new technologies and mentoring team members.