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Skills:

Project Management, Architecture, SQL, ETL, English

Job type:

Full-time

• A Business and Data Analyst is a data analytic expert, who identify the business needs into data model, analytics, and business intelligent solutions. The job holder must be able to design, build, and implement BI solutions, with a view to driving business results.
• Key Accountabilities.
• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs ...
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

Experience:

1 year required

Skills:

Good Communication Skills, High Responsibilities, Teamwork, English

Job type:

Full-time

• Edit and maintain technical product data for online catalogs and internal databases.
• Review and validate technical information before publication.
• Coordinate with internal teams and communicate with clients regarding data requirements and project progress.
• Prepare reports and collaborate with the team on productivity review activities.
• Perform other related duties assigned by the project leader.
• Bachelor's degree in any related field.
• At least 2 years of working experience.
• Strong Microsoft Excel skills.
• Good analytical skills and attention to detail.
• Good communication and coordination skills with clients and internal teams.
• TOEIC score of 750 or above, or equivalent English proficiency.
• Able to work effectively in a multicultural environment within a Japanese company and adapt to Japanese business practices.
• Preferred Attributes.
• Detail-oriented with a high level of accuracy.
• Able to learn technical products and systems quickly.
• Comfortable working with large volumes of technical data.
• Responsible, proactive, and able to manage multiple tasks while meeting deadlines.
• Interested in engineering, manufacturing, or industrial products..

Job type:

Full-time

• Implementing and maintaining the deterministic or stochastic Prophet model, data conversion system, and database infrastructure to support actuarial analysis and reporting processes.
• Providing support in the Prophet modelling and data delivery processes to facilitate the fast-close initiative.
• Implementing new products into the deterministic Prophet model and enhancing the data conversion system and/or database infrastructure to support the new product implem ...
• Providing support to facilitate the implementation and testing of ad-hoc model and data change requests and/or project deliverables.
• Investigating, testing and resolving the Prophet model and/or data issues associated with new product implementation, ad-hoc model and data change requests, etc.
• Identifying and communicating about risks and issues in the Prophet modelling and data delivery processes.
• Preparing documentation of changes to the Prophet model, data conversion system, and database.

Skills:

Oracle, Automation, UNIX

Job type:

Full-time

• Design and manage Oracle and PostgreSQL database environments..
• Architect and implement High Availability (HA) and Disaster Recovery (DR) solutions..
• Manage database performance, monitoring, capacity planning, backup, and recovery.
• Support database operations, troubleshooting, incident resolution, and deployments.
• Collaborate with application, infrastructure, and offshore vendor teams to deliver enterprise database services.
• Improve database reliability, security, and automation through best practices and new technologies.
• Participate in on-call support for production environments.
• QualificationsBachelor's degree in Computer Science, IT, or a related field.
• 7-10 years of IT experience, including 5+ years as a Database Administrator..
• Strong hands-on experience with Oracle Database, Oracle RAC, Oracle Exadata, and PostgreSQL..
• Experience designing enterprise HA/DR, backup & recovery, and database performance tuning..
• Good knowledge of Unix/Linux administration and shell scripting..
• Experience with Ansible, Terraform, or other automation tools is a plus..
• Strong troubleshooting, communication, and teamwork skills.
• Tech StackOracle Database - Oracle RAC - Oracle Exadata - PostgreSQL - Linux - Unix - HA/DR - Backup & Recovery - Performance Tuning - Ansible - Terraform.
• Only shortlisted candidates will be contacted".
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• Contact: Talent Acquisition Center: 0 2--- ---- #--183.
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..

Skills:

Accounting, English

Job type:

Full-time

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

Skills:

Statistics, Big Data, Python

Job type:

Full-time

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

Experience:

No experience required

Skills:

Fast Learner, Service-Minded, .NET, Thai, English

Job type:

Full-time

• วุฒิการศึกษา: ปริญญาตรีขึ้นไป.
• สาขาวิชา: สาขาเทคโนโลยีสารสนเทศ, วิทยาการคอมฯ และสาขาอื่น ๆ ที่เกี่ยวข้อง.
• เพศ: ทุกเพศ.
• อายุ: 22 ปีขึ้นไป.
• ประสบการณ์: 0 - 10 ปี.
• มีบุคลิกภาพดี สามารถทำงานเป็นทีมได้ และมีความรับผิดชอบสูง.
• มีความขยัน ตั้งใจ อดทน และมีทัศนคติที่ดีต่อบริษัท.
• มีความกระตือรือร้น รักการเรียนรู้สิ่งใหม่ ๆ และสนใจเทคโนโลยี.
• มีความรู้ความเข้าใจเกี่ยวกับการ Scalable Applications.
• มีประสบการณ์ในการพัฒนาโปรแกรมติดต่อฐานข้อมูล เช่น MySql, Oracle, SQL Server เป็นต้น.
• หน้าที่และความรับผิดชอบ (Responsibility) (มีพี่ๆ สอนงานให้).
• ดำเนินการแก้ไข หรือให้คำแนะนำเพื่อแก้ปัญหาเบื้องต้นรวมถึงให้บริการตามคำร้องของผู้ใช้งานระบบสารสนเทศ.
• ดำเนินการแก้ไขโปรแกรมให้สามารถใช้งานได้อย่างมีประสิทธิภาพ.
• งานอื่น ๆ ตามที่ได้รับมอบหมายเพิ่มเติม.
• จัดทำรายงานประจำเดือนเกี่ยวกับจำนวนปัญหา หรือคำร้องขอที่ได้รับในแต่ละเดือน.
• ทำงานที่สำนักงานของลูกค้า (ศูนย์ราชการ แจ้งวัฒนะ).

Experience:

No experience required

Skills:

Data Analysis, Database Development, Thai, English

Job type:

Full-time

• สามารถวิเคราะห์และออกแบบระบบคอมพิวเตอร์ ระบบฐานข้อมูล.
• สามารถทำงานร่วมกับลูกค้าในการพัฒนาและแก้ปัญหาทางธุรกิจของลูกค้า โดยการประชุม รวบรวมความต้องการ และวิเคราะห์ข้อมูล.
• สามารถประสานงานกับทีมพัฒนาระบบคอมพิวเตอร์ตามความต้องการของธุรกิจและขอบเขตของโครงการ.
• จัดทำเอกสารที่เกี่ยวข้องกับการออกแบบระบบคอมพิวเตอร์ ระบบฐานข้อมูล เช่น Requirement Spec, Use Case, Functional Specification, Data Requirement, ER Diagram, Data Schema, Data Dictionary เป็นต้น.
• ควบคุมดูแลการทำงานของทีมพัฒนา ให้ทำงานอย่างถูกต้องตามที่ออกแบบ และตรงตามเวลาที่กำหนด.
• วุฒิการศึกษา: ปริญญาตรีขึ้นไป.
• สาขาวิชา: สาขาเทคโนโลยีสารสนเทศ, วิทยาการคอมฯ และสาขาอื่น ๆ ที่เกี่ยวข้อง.
• อายุ: 22 ปีขึ้นไป.
• ประสบการณ์: 0 - 10 ปี.
• มีบุคลิกภาพดี สามารถทำงานเป็นทีมได้ และมีความรับผิดชอบสูง สามารถทำงานภายใต้แรงกดดันได้.
• มีทักษะในการสื่อสารและนำเสนอ สามารถจับใจความสำคัญ วิเคราะห์ และสรุปเพื่อความเข้าใจในการทำงานที่ตรงกัน.
• มีความขยัน ตั้งใจ อดทน และมีทัศนคติที่ดีต่อบริษัท.
• มีความคิดสร้างสรรค์ และเรียนรู้สิ่งใหม่ ๆ ได้เร็ว.
• สามารถเดินทางไปทำงานนอกสถานที่ได้.

Experience:

No experience required

Skills:

Market Analysis, Enthusiastic, Creative Thinking, Thai, English

Job type:

Part-Time

• เก็บและวิเคราะห์ข้อมูลผู้ประกอบการธุรกิจอาหารในกรุงเทพฯ จากช่องทางออนไลน์.
• ลงพื้นที่พบผู้ประกอบการ เพื่อสัมภาษณ์และเก็บข้อมูลการดำเนินงาน.
• ประสานงานและติดตามข้อมูลกับผู้ประกอบการผ่าน LINE และช่องทางอื่น.
• เก็บข้อมูลด้านการจัดส่งและงานปฏิบัติการในพื้นที่.
• บันทึกและจัดการข้อมูลในฐานข้อมูลกลางให้ถูกต้องและเป็นปัจจุบัน.
• จัดทำรายงานสรุปผลการเก็บข้อมูลเป็นภาษาอังกฤษ.
• งานอื่น ๆ ตามที่ได้รับมอบหมาย.
• ไม่จำกัดเพศ อายุ 22 - 32 ปี.
• วุฒิปริญญาตรี สาขาโลจิสติกส์ การจัดการโซ่อุปทาน การโรงแรม การจัดการธุรกิจอาหาร หรือสาขาที่เกี่ยวข้อง.
• ยินดีรับนักศึกษาจบใหม่.
• มีประสบการณ์ 1 - 2 ปี ในสายงานโลจิสติกส์ ธุรกิจอาหาร ร้านอาหาร งานขาย หรือการเก็บข้อมูลภาคสนาม จะพิจารณาเป็นพิเศษ.
• สื่อสารภาษาอังกฤษได้ดี สามารถเขียนรายงานเป็นภาษาอังกฤษได้.
• ใช้ LINE และ Facebook ในการติดต่อประสานงานได้คล่อง.
• ใช้ Excel หรือ Google Sheets ได้.
• มีทักษะการสื่อสารและการเจรจาที่ดี กล้าติดต่อผู้ประกอบการที่ไม่รู้จักมาก่อน.
• มีความละเอียดรอบคอบ บันทึกข้อมูลตามความจริง.
• สนใจเรื่องอาหารเพื่อสุขภาพ ฟิตเนส หรือโภชนาการ จะพิจารณาเป็นพิเศษ.
• สามารถเดินทางลงพื้นที่ในกรุงเทพฯ และปริมณฑลได้.
• สามารถเริ่มงานได้ต้นเดือนกันยายน.
• ค่าเดินทางและค่าอาหารระหว่างปฏิบัติงาน บริษัทรับผิดชอบทั้งหมด.
• เวลาทำงานยืดหยุ่น.
• ทำงานร่วมกับผู้ก่อตั้งบริษัทโดยตรง.
• มีโอกาสปรับเป็นพนักงานประจำเมื่อครบสัญญา.
• ประเมินผลงานที่ 30 วัน.
• วันและเวลาทำงาน Part time สัปดาห์ละ 3 - 4 วัน ช่วงเวลากลางวัน ตกลงร่วมกันได้.
• วิธีการสมัคร ส่งเอกสารมาที่ [email protected].
• CV & Cover Letter ภาษาอังกฤษ.
• เขียนสั้น ๆ เป็นภาษาอังกฤษ (ไม่เกิน 5 บรรทัด) เล่าถึงครั้งที่คุณต้องขอข้อมูลจากคนที่ไม่อยากให้ข้อมูล.
• ระบุว่าคุณสนใจเรื่องอาหารสุขภาพ ออกกำลังกาย หรือโภชนาการอย่างไร.
• ใบสมัครต้องเขียนเป็นภาษาอังกฤษ ผู้ผ่านการคัดเลือกเบื้องต้นจะได้รับโจทย์ทดสอบแบบมีค่าตอบแทน
• ___________________________________________________________.
• Market Research Associate (Part Time) - 1 position.
• ฿20,000 - ฿30,000 per month - Bangkok - 3 month contract, with the possibility of a permanent role.
• PintoBox, a start-up tech food company, is hiring a Market Research Associate to gather operational data from food businesses across Bangkok.
• Collect and analyse data on Bangkok food businesses from Thai language online sources.
• Visit business owners to conduct interviews and gather operational information.
• Coordinate and follow up with business owners via LINE and other channels.
• Gather data on delivery and field operations.
• Maintain a central database accurately and keep it current.
• Prepare written summaries and reports in English.
• Other duties as assigned.
• Age 22 - 32.
• Bachelor's degree in Logistics, Supply Chain Management, Hotel Management, Food Business Management or a related field.
• New graduates welcome.
• 1 - 2 years of experience in logistics, food business, restaurants, sales or field research is an advantage.
• Good English, able to write reports in English.
• Confident using LINE and Facebook for business communication.
• Able to use Excel or Google Sheets.
• Strong communication skills, comfortable approaching business owners who are strangers.
• Careful and accurate. Records information as it is.
• An interest in healthy food, fitness or nutrition is an advantage.
• Able to travel to sites across Bangkok and surrounding areas.
• Available to start in the first week of September.
• All travel and meal costs covered while working.
• Flexible working hours.
• Work directly with the company founders.
• Possibility of a permanent role at the end of the contract.
• Performance review at 30 days.
• Working days Part time, 3 - 4 days per week, daytime hours, arranged by agreement.
• How to apply Send to [email protected].
• CV & Cover Letter in English.
• In English, no more than 5 lines: describe a time you had to get information from someone who did not want to give it.
• Tell us how you are interested in healthy food, exercise or nutrition.
• Applications must be written in English. Shortlisted candidates will receive a short paid task.

Skills:

English, Thai

Job type:

Full-time

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10 years of experience managing technical teams in charge of operating, maintaining, and troubleshooting electrical, mechanical, and controls infrastructure and components.
• Experience in mentoring or developing managers.
• Ability to communicate in English and Thai fluently, to support client relationship management in this region.
• Experience in mission critical systems operations (e.g., power generation, data center, refinery, chip fabrication, chemical processing, or other high consequence environments).
• Experience in collaborating with other business units to meet company goals and standards.
• Understanding of the operations and maintenance of electrical, control systems, and mechanical systems in a data center environment.
• Ability to develop and grow team members through coaching, mentoring, and training.
• Excellent people management and leadership skills.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor and support physical facilities conditions. Some 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). You'll provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.
• You will 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.
• The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.
• Plan and execute campus operational budgets and expense forecasting, and create strategies for cost-effective operations focused on total cost of ownership.
• Be responsible for meeting service level agreements (SLAs) with internal teams on uptime, efficiencies and cost.
• Lead efforts to integrate Google-wide strategy and execution with internal and external business partners.
• Demonstrate critical thinking and innovation in approaching traditional data center and emergent challenges.
• Lead, develop, support, and coach the other site's facility managers.
• 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.

Experience:

No experience required

Job type:

Internship

• 300 Baht/Day.
• Travel Reimbursement.
• Free food and snacks.
• Workplace.
• Work type: On-Site.
• Workdays and time: 5 days/week, 8:30 - 17:30.
• Location: One Bangkok Tower 4, 15th Floor, 195 Witthayu Rd, Lumphini, Pathum Wan, Bangkok 10330.

Experience:

1 year required

Skills:

Google Cloud Platform, Python, Kafka, Scala, Java, SQL, ETL

Job type:

Full-time

• Design, build, and maintain batch and real-time data pipelines.
• Develop ETL/ELT processes and integrate data from multiple sources.
• Support data warehouse, data lake, and lakehouse platforms.
• Monitor data quality, performance, and system reliability.
• Troubleshoot data issues and collaborate with technical and business teams.
• Bachelor's degree in Computer Science, IT, Engineering, or related fields.
• At least 1-5 years of experience in Data Engineering, Database, or related roles.
• Strong SQL skills and proficiency in Python, Scala, or Java.
• Experience with relational databases and ETL/ELT tools.
• Experience with AWS, Azure, or Google Cloud Platform.
• Familiarity with Snowflake, BigQuery, Redshift, Synapse, Databricks, Airflow, dbt, Spark, or Kafka.
• Knowledge of Git, CI/CD, testing, monitoring, and data-quality practices.

Skills:

SAP, SQL, NoSQL

Job type:

Full-time

• Manage the development and implementation strategy of SAP BI (Business Intelligence), BW (Business Warehouse), and BOBJ (Business Objects) systems in alignment with business objectives..
• Plan and develop dashboards and reports using SAP BOBJ to support management decision-making, setting priorities and directions for the development team..
• Supervise the system and team to ensure effective operations, maintaining continuous data quality, accuracy, and security..
• Continuously enhance system performance and modernize solutions in line with evolving technologies.
• Initiate and integrate new technologies to improve efficiency, streamline processes, and enhance BI system performance..
• Analyze the overall system landscape to ensure seamless integration and collaboration across the organization.
• Integrate systems to support current operations and future network expansion..
• Review and adapt strategies in response to changing circumstances to ensure organizational goals are achieved.
• Prepare and present detailed reports on operational outcomes to management.
• Bachelor s degree or higher in Computer Engineering, Computer Science, Information Technology, or a related field..
• Minimum 7 years of experience in building, managing, and optimizing data pipelines from multiple data sources..
• Strong understanding of data modeling, SQL, and database management concepts..
• Excellent analytical and problem-solving skills..
• Familiarity with Agile methodologies..
• Knowledge of NoSQL databases is an advantage..
• Hands-on experience with Big Data technologies and cloud platforms such as Azure, AWS, or GCP..
• Prior experience with SAP S/4HANA is a plus..
• SAP Certification in a relevant functional area is an added advantage..
• Fast learner, self-motivated, and proactive.
• Strong written and verbal communication and presentation skills.
• Service-oriented mindset with a collaborative approach to working with internal stakeholders.
• Excellent organizational and time management skills; able to balance and prioritize multiple tasks and projects effectively..
• Work Location: The Mall - Head Office (Ramkhamhaeng).

Skills:

Project Management

Job type:

Full-time

Manage project documentation including shop drawings and material approvals. Track construction progress aligned with master and sub-plans. Coordinate with vendors and subcontractors. Support PM/PE with meeting preparation and project reporting. Location: Data Center, Chachoengsao. Schedule: Monday-Saturday, 8:00 AM-5:00 PM. Requirements: Bachelor's degree in engineering (Electrical/Mechanical); 2-5 years MEP experience; project management knowledge; MS Office proficiency; English language capability; available to start immediately or within 2 weeks.

Experience:

2 years required

Skills:

SQL, Good Communication Skills, English

Job type:

Full-time

• Participation in designing IT systems and infrastructure.
• Monitoring installed systems and infrastructure operations.
• Configuration and administration of technology/systems including hardware and operating systems.
• Providing technical solutions for computer applications and systems to teams, customers, and end users.
• Delivering comprehensive technical support to user support staff.
• Developing integrated solutions covering hardware, software, system infrastructure, and backup/recovery.
• Managing incidents and requests within the defined technology environment.
• Maintaining service quality through organizational standards enforcement.
• Bachelor Degree or Higher in Computer Science, Computer Engineering, Information Technology or related field.
• Minimum 2 years in a related position.
• SQL Database or equivalent database knowledge.
• Data backup and recovery software expertise.
• Must be able to troubleshoot and solve computer problems.
• Network understanding and basic TCP/IP (OSI Model) knowledge.
• Customer service orientation.
• Team collaboration ability.
• Good communication skills.
• English proficiency advantageous.
• Ability to perform under pressure with tight deadlines.

Experience:

3 years required

Skills:

Database Administration

Job type:

Full-time

• Administer all aspects of MSSQL/ Oracle databases including design, install, implement, monitor, maintain, tune and improve performance to meet clients' needs.
• Provide database solution, implementation and configuration.
• Perform database monitoring and performance tuning as well as SQL optimization.
• Implement solutions for managing Backup, Replication, High Availability (HA), Disaster Recovery (DR).
• Standby 24x7 on-call customer support in case related to SQL Server / Oracle databases.
• Performs general-to-advanced database issue troubleshooting.
• Provide recommendations and improvements for healthy and secured database for each customer's environment.
• Bachelor's degree in Computer Engineering, Computer Science or related discipline.
• 3+ years of experience as a Database Administrator (DBA) supporting enterprise database environments.
• Experience using MSSQL or Oracle or PostgreSQL.
• Knowledge in No-SQL DB like MongoDB or Redis will be big plus but not mandatory.
• Strong SQL fundamentals.
• Solid understanding of infrastructure, network and OS (Linux/Window) systems.
• Highly service-minded, great sense of responsibility with active and analytical mindset.
• Very attention to detail and able to prioritize important tasks.
• Strong problem-solving and good communication skills.
• Good command of English. Thai language proficiency is required.

Experience:

3 years required

Skills:

Architecture, SQL, ETL

Job type:

Full-time

• Data Engineering & Platform.
• Develop and maintain ETL/ELT pipelines for data ingestion and transformation.
• Build and optimize Enterprise Data Warehouse and Data Lake solutions.
• Monitor and troubleshoot data pipeline failures and performance issues.
• Maintain and optimize SQL, Spark, and cloud-based data processing workloads.
• Analytics & Reporting.
• Develop BI dashboards and automated reports for business users.
• Support self-service analytics for internal departments and external partners.
• Improve reporting efficiency and data accessibility.
• Data Architecture & Governance.
• Design scalable data architecture for structured and unstructured data.
• Implement data governance, security, and data quality standards.
• Manage metadata, data lineage, and access control policies.
• Collaboration & Support.
• Work closely with business users to analyze requirements and propose technical solutions.
• Provide technical support and consultation to Data Analysts and stakeholders.
• Coordinate with infrastructure and application teams for system integration.
• Innovation & Improvement.
• Research emerging technologies related to Data Analytics, AI, and Cloud Platforms.
• Recommend process improvements to enhance system stability and operational efficiency.
• Bachelor's degree or higher.
• Data modeling, Data Analytics, Data warehousing, Data Governing for 0-3 years of experience.

Experience:

3 years required

Skills:

Business Development

Job type:

Full-time

• Work with the team to propose new business models and opportunities in the energy sector, focusing on digital infrastructure and Data Center developments to create sustainable expansion opportunities in Thailand.
• Seek and select business opportunities in new projects such as Wind, Solar Rooftop, EV Chargers, และ Data Center Co-location/Enterprise facilities in line with the company's policies.
• Analyze the synergy between renewable energy solutions and high-demand energy consum ...
• Project Execution & Analysis.
• Collaborate in the development, planning, and analysis of business projects, strategies, and comprehensive financial models, including feasibility studies for Data Center site selection and energy infrastructure integration.
• Develop and implement projects and drive new Wind, Solar Rooftop, and EV Charger initiatives, specifically targeting energy supply solutions for Data Centers to ensure 24/7 green power reliability.
• Conduct due diligence and develop a deep understanding of clients' businesses, with a focus on the technical and energy requirements of the cloud service and telecommunications industries.
• Partnership & Financial Strategy.
• Build sustainable business partnerships with both public and private sectors, including Hyperscalers and Data Center operators, to enhance business growth.
• Study mergers and acquisitions (M&A) both domestically and internationally, evaluating potential targets in the renewable energy and digital infrastructure space.
• Formulate and execute financial and commercial strategies tailored to client objectives, addressing the unique CAPEX/OPEX structures of energy-intensive assets.
• Leadership & Reporting.
• Prepare and oversee the development of pitch decks and presentations that highlight the value proposition of integrated energy-data solutions.
• Prepare accurate marketing and progress reports systematically for management to support strategic decision-making.
• Support and guide team members in financial modeling and transaction execution (for senior roles).
• Bachelor's in Engineering,Electrical Engineering or related fields.
• Master's degree in Finance,MBA or related fields.
• At least 3-7 years of experience in developing Wind, Solar Rooftop and Digital infrastructure and Data Center Developments Projects, EV Charger projects or related work.
• Experience in business project planning and analysis, business strategy, financial model analysis, and feasibility studies.
• Experience in Investment Banking, Private Equity, Corporate Finance, or a related financial sector.
• Relevant experience in the energy industry will be considered a plus.
• Strong presentation and negotiation skills.
• Proficient in Microsoft Office.
• Good command of English, with a minimum TOEIC score of 700.
• Knowledge of sales processes and methods, as well as an overall understanding of energy business strategy development.
• Basic legal knowledge, including NDAs, PPAs, and land contracts.
• How to apply.
• Click APPLY NOW for submit your application.
• Interested candidates are invited to send with full resume, stating present and expected salaries, and enclosing a recent photograph to the address below.
• Working Location: Park Ventures Ecoplex, BTS Phloen Chit.

Experience:

6 years required

Skills:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

Job type:

Full-time

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

Experience:

4 years required

Skills:

Data Analysis, Recruitment, YouTube, SQL, English

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.
• We are looking for an Associate Director to join the largest and fastest growing online hotel booking platform in Asia based in Bangkok, Thailand. Agoda is a strongly data driven organization: as an Associate Director, your insights will impact strategic and tactical decisions driving business growth.
• As a pivotal leader in Data Analytics, you will drive transformative business impact by leading a team to deliver strategic, action-oriented insights. Your role is crucial in shaping data-driven decisions that enhance Agoda's competitive edge and operational efficiency.
• Spearhead analytical projects that align with stakeholder needs, from problem definition to insightful communication of results, influencing key areas like Marketing, Product, and Partner Services.
• Lead initiatives such as predictive modeling to optimize customer wait times and call demand, customer segmentation for personalized service, and the creation of innovative dashboards for business intelligence.
• Collaborate with stakeholders to uncover business opportunities, leveraging data to inform strategic decision-making.
• Proactively prioritize business strategies through insightful data analysis, driving growth and efficiency.
• Ensure timely, error-free delivery of analytical outputs, enhancing decision-making processes across the organization.
• Guide your team in defining business problems, extracting and analyzing data, and presenting findings through compelling visualizations.
• Balance multiple priorities, maintaining clear communication with stakeholders on progress and delivery timelines.
• Strengthen team resilience, mitigating risks of process or system failures.
• Mentor and develop team members, fostering a culture of continuous improvement and career growth.
• Bachelor's degree in mathematics, statistics, data science, computer sciences, engineering or a related degree program with outstanding academic results.
• 8+ years of relevant experience, including 4+ years of experience as a people manager.
• SQL proficiency: can extract data from large databases using SQL to develop data queries.
• Excellent problem-solving skills including the ability to analyze and resolve complex problems.
• Strong business sense.
• Excellent communication and comprehension skills: confident communicating with people of differing levels of seniority, analytical understanding and from a wide variety of backgrounds.
• Organized and structured: can manage multiple, competing priorities and deliver results under tight deadlines.
• Fluent in English both spoken and written - additional languages are a plus.
• Attitude.
• Curious, proactive, practical and solution-oriented with "Get it done!" attitude.
• Data savvy and love crunching numbers: love the idea of working in an international and multicultural company, analyzing billions of actions from millions of travelers choosing from thousands of hotels.
• Interested in telling an impactful story with analysis and smart data visualization, not just number crunch.
• Able to work in a highly multi-cultural team.
• Attentive to detail and committed to data integrity.
• Aware of the importance of discretion, confidentiality, and ethical behavior.
• What we offer.
• Be part of a dynamic and exciting data-driven multinational team in a successful and fast-growing tech company.
• A clearly defined career path will help you to continuously develop your skills.
• The chance to propose ideas to improve operations based on data and have an impact on the customer experience.
• Relocation package for employees joining from abroad.
• International health insurance.
• Annual performance bonus.
• Parking fees reimburse.
• Discount for Agoda employee booking on Agoda.com.
• 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.