Filter Jobs

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:

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:

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:

node.js, Python

Job type:

Full-time

• Build and maintain applications, APIs, and pipelines that support AI models.
• Write clean, maintainable, AI-first code and participate in code & model reviews.
• Optimize AI solutions for latency, reliability, scalability, and performance.
• Ensure production AI systems meet quality, availability, and compliance standards.
• Stay updated on AI/ML frameworks and best practices, suggesting improvements to systems and processes.
• Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or related field.
• Strong programming skills in Python, Node.js, or similar languages.
• Experience building AI applications, APIs, and integrating AI/ML models into scalable systems.
• Experience with AI/ML frameworks, LLM frameworks, and model serving tools.
• Understanding of system performance optimization, scalability, and reliability.

Experience:

3 years required

Skills:

Architecture, Kubernetes, Power BI, Docker, SQL, ETL, English

Job type:

Full-time

• Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
• Data Pipeline Development: They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
• Database Management: They manage databases and data warehouses, ensuring efficient d ...
• Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency.
• across the organization. This may involve designing APIs, implementing data synchronization processes.
• Bachelor's degree in Computer Science, Computer Engineer, Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.).
• Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
• Experience in data engineering, ETL/ELT development, and data pipeline design.
• Strong SQL skills with knowledge of database management and query optimization.
• Hands-on experience with GCP and/or Azure data services.
• Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).

Experience:

2 years required

Skills:

Analytical Thinking, Problem Solving, Architecture, Accounting, Power BI, YouTube, Python, Java, SQL, English, Thai

Job type:

Full-time

• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process.
• here.
• For more information about business solicitation and recruiting scams, please click.
• here.
• We thank you for your interest in ExxonMobil.".
• Stay connected with us.
• Learn more at our.
• website.
• Follow us on.
• LinkedIn.
• and.
• X.
• Like us on.
• Facebook.
• Subscribe our channel at.
• YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Applied Software Engineering for Data.
• Data Architecture & Strategy.
• Data Integration.
• Data Management.
• Data Visualization.
• Data Modeling.
• Machine Learning.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Job type:

Full-time

• Monitor all data center systems including power, cooling, fire suppression, and physical security systems during the shift.
• Perform routine inspections and preventive maintenance of data center equipment to ensure optimal performance.
• Respond promptly to alerts, alarms, and incidents, escalating issues to higher-level technical teams or management as necessary.
• Maintain accurate logs and records of all operational activities, incidents, and maintenance tasks performed during the shift.
• Support the deployment, relocation, and removal of hardware and equipment in accordance with standard operating procedures.
• Ensure compliance with company policies, safety protocols, and regulatory requirements related to data center operations.
• Coordinate with cross-functional teams (network, facilities, security) to resolve operational issues efficiently.
• Assist in maintaining physical security and access control for the data center facility.
• Participate in shift handover meetings to ensure seamless transition and communication between shifts.

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.

Experience:

5 years required

Skills:

Project Management, Procurement

Job type:

Full-time

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 pr ...

Skills:

Business Development, Civil Engineering, Procurement

Job type:

Full-time

• Lead civil engineering tasks in business development, project development, and execution from inception to commercial operation for projects.
• Conduct technical feasibility studies, due diligence, and provide engineering input for the planning and execution of projects.
• Develop project scope, approach, schedule, budget, and resource plans for construction, expansion, and infrastructure enhancements.
• Oversee civil engineering aspects, including site layout design, structural analysis, foundation design, and optimization for projects.
• Manage site assessments, geotechnical investigations, and civil infrastructure planning to support projects.
• Define scope and specifications for procuring engineering, procurement, and construction (EPC) services related to projects.
• Lead bidding and evaluation processes for EPC contracts, ensuring compliance with project and regulatory requirements.
• Oversee project execution, including engineering reviews, contractor coordination, site inspections, and progress monitoring.
• Ensure compliance with maritime safety regulations, environmental standards, and engineering best practices.
• Collaborate with cross-functional teams, including marine engineers, logistics specialists, project managers, and regulatory authorities, to ensure project success.

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:

7 years required

Skills:

Marketing Strategy, Recruitment, Google Ads, YouTube, DevOps, Kotlin, Kafka, Scala, Java, SQL, English

Job type:

Full-time

• Design, build, and operate backend services and data pipelines that support performance marketing use cases, including hotel feeds, ad platform integrations, and experiment data.
• Contribute to technical design discussions and drive implementation of production systems running at scale.
• Take part in the full development lifecycle: design, implementation, testing, deployment, and production support.
• Proactively identify and improve system reliability, scalability, data quality, and operational efficiency.
• 5 Write clear, maintainable code and actively participate in code reviews and technical discussions.
• Collaborate with Product, Marketing, and other Engineering teams to clarify requirements and deliver effective solutions.
• Support and improve the team's engineering standards, including CI/CD, monitoring, and documentation.
• Make technical trade-offs across performance, quality, and cost.
• Participate in hiring, onboarding, and knowledge sharing, in line with your experience and interests.
• What You'll need to Succeed.
• Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience) 8+ years of experience, with a focus on backend and/or data engineering.
• Strong proficiency in Scala (preferred) or another JVM language (e.g. Java, Kotlin).
• Strong proficiency in SQL.
• Experience building and operating data processing and pipeline systems, e.g. Spark, Kafka, workflow orchestration tools.
• Experience with messaging and asynchronous systems (e.g. RabbitMQ, Kafka).
• Demonstrated track record of driving architectural decisions and improving team-level engineering metrics and system reliability.
• Ability to lead incident response: identify root cause, drive resolution, and communicate clearly.
• Experience working in Agile, cross-functional teams.
• Strong English communication skills, written and verbal.
• An engineering-driven mindset with strong analytical, problem-solving, and systems-thinking abilities.
• Experience mentoring and coaching engineers, with a genuine interest in helping others grow.
• It's great if you have.
• Deep experience with Spark-based distributed data pipelines, including performance tuning and query plan optimization.
• Experience integrating with external APIs or third-party platforms at scale (e.g. Google Ads, Meta), with familiarity in advertising, marketing, or experimentation systems.
• Experience identifying, monitoring, and addressing data quality risks in production, supported by observability and monitoring tooling (e.g. Grafana, Prometheus).
• Experience with CI/CD pipelines and modern DevOps practices.
• A track record of cross-team technical influence creating reusable patterns or frameworks, and shaping engineering standards beyond your immediate team.
• 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:

5 years required

Skills:

Electrical Engineering, Mechanical Engineering, English, Thai

Job type:

Full-time

• Carrier is seeking a.
• Plan & Spec Engineer - Data Center Solutions.
• to support the growth of our Life Cycle Solutions business. This role combines technical expertise and customer engagement to develop customized cooling solutions for mission-critical Data Center environments. You will work closely with customers, consultants, application engineers, and sales teams to position Carrier's industry-leading technologies and drive project success.
• Engage with customers, consultants, and project stakeholders to understand technical and business requirements for Data Center projects.
• Support the development of customized cooling solutions, including chillers, CRAC/CRAH units, liquid cooling systems, and controls.
• Collaborate with Application Engineering teams to evaluate system designs and recommend optimal solutions.
• Deliver technical presentations, solution proposals, and product demonstrations to customers.
• Lead discussions on energy efficiency, lifecycle costs, ROI, and Total Cost of Ownership (TCO).
• Review project specifications and identify opportunities to position Carrier solutions in the early design phase.
• Support commercial negotiations, proposal development, and contract discussions.
• Work closely with sales and service teams to support project execution and long-term customer relationships.
• Bachelor's Degree in Mechanical Engineering, Electrical Engineering, HVAC Engineering, or related field.
• 2-5 years of experience in HVAC applications, pre-sales engineering, plan & spec, solution engineering, or technical sales.
• Knowledge of chiller systems, Data Center cooling, CRAC/CRAH, controls, or mission-critical infrastructure.
• Strong understanding of HVAC system design and energy-efficient solutions.
• Comfortable presenting technical solutions to customers, consultants, and decision-makers.
• Strong communication, stakeholder management, and commercial awareness.
• Good command of English and Thai.
• Carrier is An Equal.
• Opportunity/Affirmative.
• Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
• Click on this.
• link.
• to read the Job Applicant's Privacy Notice.

Experience:

5 years required

Skills:

Quality Assurance, Recruitment, Thai

Job type:

Full-time

• Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
• The QAQCx Owner's Representative is a site-based resource who enforces our Quality Assurance, Quality Control and Commissioning Program. He/she works closely with the Regional and Local Technical Engineering, Project Delivery and Commissioning teams (Client, Consultants and Contractors) to facilitate compliance with the Client team's construction quality programs and initiatives. He/she is the first point of reference for all stakeholders on the project site for Program-related questions or concerns.
• Must be fluent in Thai, has experience of managing similar programs in Thailand and ability to work without any work restrictions.
• Leads the project Quality and Commissioning program requirements. Holds the relevant stakeholders accountable for requirements per the GC's QA/QC Plan, the CxA's Commissioning Plan, and our Project Manual.
• Project Point-of-Contact for DCS, DCOps and HWops teams for all Quality and Commissioning matters.
• Participates actively in all Quality and Commissioning meetings. Participates in other project level coordination meetings as required.
• Support DCS with site management of CxA resources. Review monthly invoices with DCS to approve % complete and Schedule of Values effort. Review any CxA change order proposals.
• Review of documentation including project documentation (drawings, RFIs, submittals), vendor/subcontractor QC plans and method statements, completed QC documentation.
• Monitor the FWT/FAT process and ensure FWTs are attended by necessary parties, and the necessary documentation is submitted for FATs. Participate in FWTs if necessary and as directed by DCS.
• Ensure project Quality and Commissioning issues are being reported in the project's designated platform (BIM360 Field 2.0). Ensure issues are being resolved satisfactorily and in a timely manner. Escalate unresolved issues to DCS and DCOps as necessary.
• Support in the CxA in getting Quality and Commissioning activities incorporated into the GC's master schedule. Participate in weekly/monthly schedule review meetings. Report on slippages and escalate to DCS as necessary.
• Ensure Cx L2-L3 checklist tagging matrix is populated with planned dates in alignment with the master schedule. Track population of actual checklist completion dates and escalate slippages to DCS/QCx as necessary.
• Monitor the overall Cx L2-L3 process and escalate any concerns to the DCS and QCx teams. Attend Cx L2-L3 owner inspections on-site as necessary.
• Ensure a smooth transition from Cx L3 to L4 testing. Support the CxA and DCOps teams during L4 testing and IST. Work towards our goal of "drama-free" FRs and no slips due to Quality or Commissioning.
• Support the completion of the Facility Ready Checklist as part of turnover.
• Ensure TIMWOODS issues are actively captured on the project. Ensure TIMWOODS issues are followed up with resolution actions. Participate in GC Quality Circles and audit GC delivery of Quality Culture workshops.
• Ensure project Lessons Learned are being actively captured and Closed Loop Learning process is being applied to significant events.
• Remote -Bangkok, THA.
• If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!.
• At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
• JLL Privacy Notice.
• Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Experience:

4 years required

Skills:

Mechanical Engineering, English

Job type:

Full-time

• Supervise mechanical installation, manage contractors, ensure compliance, review documents, monitor progress, enforce QAQC, support commissioning, resolve issues, coordinate teams, safety.
• Job Responsibilities.
• Supervise on-site construction and installation of mechanical systems (HVAC, chiller plant, cooling tower, pumps, piping).
• Manage mechanical works during Data Center construction, ensuring compliance with design drawings and specifications.
• Coordinate with EPC contractors, subcontractors, and vendors for daily site activities.
• Review and validate shop drawings, method statements, and material submittals (mechanical scope).
• Monitor site progress, installation quality, and construction schedule.
• Conduct inspection and QA/QC checks for mechanical works.
• Support pre-commissioning and commissioning activities (pressure test, flushing, balancing, FAT/SAT).
• Identify and resolve construction and installation issues on-site.
• Coordinate with electrical and civil teams for integration of cooling systems.
• Ensure compliance with site safety (HSE) and construction standards.
• Job Qualifications.
• Bachelor's degree in Mechanical Engineering.
• Minimum 4 - 7 year experiences in site mechanical / MEP / HVAC works.
• Experience in Data Center, industrial plant, or critical facilities preferred.
• Fluent in English, both written and verbal (Minimum 750 TOEIC score).
• Ability to travel/ work upcountry and abroad.
• Goal-Oriented, Unity, Learning, Flexible.

Experience:

5 years required

Skills:

Product Development, Microsoft Office, Data Analysis, SOLIDWORKS, Power BI, AutoCAD, English

Job type:

Full-time

• We are looking for a Design Engineer (Technical Data) to develop and manage engineering data and technical specifications for air conditioning products.
• This role focuses on preparing and maintaining engineering data books and technical datasets, supporting product development, system design, and internal engineering functions across the product lifecycle.
• Prepare and maintain engineering data books for RAC, LC, and VRF products.
• Compile and validate technical data from engineering teams (performance, specifications, system data).
• Ensure accuracy and consistency of engineering datasets and product technical information.
• Support updates and revisions of technical data for new products and design changes.
• Assist in data analysis and technical data preparation to support engineering activities.
• Manage data logs, documentation systems, and file structures.
• Support integration of technical data with product models, CAD files, and internal systems.
• Coordinate with cross-functional teams to ensure timely and accurate data availability.
• Provide technical data support to Engineering, Sales, and Service teams.
• Bachelor's degree in Engineering (Mechanical, Electrical, Industrial, or related field).
• 1-3 years of experience in HVAC or related engineering/data role.
• Basic understanding of air conditioning (HVAC) systems.
• Proficient in Microsoft Office (Excel, PowerPoint).
• Familiarity with AutoCAD / SolidWorks (2D/3D) is an advantage.
• Knowledge of data tools (e.g., Power BI, AI tools) is an advantage.
• Strong analytical mindset with attention to data accuracy and structure.
• Good command of English.
• Carrier is An Equal.
• Opportunity/Affirmative.
• Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
• Click on this.
• link.
• to read the Job Applicant's Privacy Notice.

Experience:

2 years required

Skills:

Architecture, Automation, Backbone, Python, DevOps, Apache, SQL, ETL

Job type:

Full-time

• At Gosoft, were the tech powerhouse behind CP ALL Grouppowering innovations for over 15,000 7-Eleven stores nationwide, including platforms like 7-Delivery. As part of our Data Science & Data Engineering team, youll work at the cutting edge of cloud-native tech and big dataespecially on Databricks Lakehouse and AWS/GCP.
• Were looking for passionate engineers ready to build high-impact data systems that shape the future of retail.
• Design and maintain scalable data pipelines on Databricks Lakehouse Platform.
• Build ETL/ELT workflows for both structured and unstructured data.
• Partner with data scientists and analysts to turn raw data into actionable insights.
• Optimize performance of Spark jobs, Delta Lake, and streaming pipelines.
• Lead platform monitoring, CI/CD automation, and cloud-native governance.
• Apply best practices in data security, quality, and governance.
• What Were Looking For.
• Degree in Computer Science, Engineering, or related field.
• 2+ years of hands-on experience in Data Engineering / Platform Engineering.
• Strong with Databricks, Apache Spark, Delta Lake.
• Skilled in Python, SQL, and working in notebooks (Jupyter/Databricks).
• Experience in AWS or GCP services.
• Solid understanding of Lakehouse Architecture and Data Modeling.
• Familiar with CI/CD, Git, and MLOps/DevOps for data platforms.
• Bonus: Experience in retail tech, data privacy, and RBAC.
• Why Gosoft?.
• Impact: Be the backbone of the data powering 7-Elevens national operations.
• Innovation: Work on modern architecture and enterprise-scale platforms.
• Growth: Learn from top talent in DataOps, MLOps, and Cloud Engineering.
• Flexibility: Hybrid working, continuous learning, and career advancement.

Experience:

7 years required

Skills:

Architecture, Recruitment, node.js, 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.
• Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training.
• You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned,.
• reviewable assets that return consistent, current answers.
• You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces.
• Model governed metrics, dimensions, joins, and grain for business domains.
• Structure expert context, glossaries, and validated question patterns as Git-reviewed assets.
• Build freshness, drift, and validation signals; treat stale knowledge as a production issue.
• Expose the layer through APIs so applications and agents get deterministic answers.
• Enable domain owners to propose, review, and publish knowledge without engineering deploys.
• Partner across analytics, product, and platform teams on access control and quality standards.
• 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling.
• Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent).
• Strong SQL and analytical modeling on OLAP / warehouse systems.
• Knowledge engineering: versioned definitions, peer review, contributor workflows.
• API / service mindset: you design for multiple consumers, not a single dashboard.
• Clear communication across engineering, analytics, and product partners.
• Open-source semantic layer engines (Cube, MetricFlow patterns).
• Agent or tool-interface experience for LLM-powered applications.
• NL-to-data products, retrieval, or evaluation harnesses.
• Python or Node.js service development.
• Large-scale e-commerce or travel analytics environments.
• Manila.
• 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:

Big Data, ETL

Job type:

Full-time

• Ensure data quality, consistency, and integrity across systems.
• Monitor, troubleshoot, and improve ETL/ELT processes for efficiency and performance.
• Collaborate closely with Data Scientists to ensure model-ready datasets and with Infrastructure & Technology under IT team to ensure scalability, reliability, and data security.
• Bachelor's or Master's degree in Computer Science, Data Engineering or related field.
• Experience with data pipelines development, ETL/ELT processes, cloud data platform, data warehouses, big data technologies, data quality, governance and security practices.
• Strong project planning, stakeholder management, and communication skills.
• Interested in projects related to AI integration.
• Able to work onsite at SCG Bangsue Head office.

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.