เงื่อนไขการค้นหา

ทักษะ:

Procurement, Recruitment, Data Entry, English

ประเภทงาน:

งานประจำ

• Be able to work in Suvarnabhumi Airport (BKK).
• Verify that Aircraft Technical Log and Maintenance Work Package entries are correct and complete.
• Record Equipment replacement in AMOS from Logbooks and scheduled tasks (WO/WP).
• Ensure that all Aircraft Technical Log and Maintenance Work Package entries are correctly entered into AMOS.
• Ensure the liaison with Scheduled Maintenance Planning and Engineering Departments in respect of component configuration and status.
• Other assignments from the direct Manager.
• Bachelor degree program in engineering or technical field.
• Be able to read, write, understand and communicate in English language.
• Standard computer literacy in MS Office.
• Team work spirit.
• Able to travel as when it is required.
• Apply for this job.
• More positions.
• OFFICER, STOREAIRCRAFT MECHANIC - SUVARNABHUMI AIRPORT (BKK)OFFICER, MAINTENANCE PLANNINGEXECUTIVE, MAINTENANCE CONTROL CENTERDIRECTOR OF ENGINEERINGSTORE DATA RECORDER - SUVARNABHUMI AIRPORTOFFICER, PROCUREMENT AND LOGISTIC View all jobs.
• Application form.
• Full Name *.
• Email Address *.
• Phone Number *.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No *.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No --Yes - I consentNo.
• What's your expectation salary? (THB) *.
• Do you consent to a criminal background check as part of the recruitment process? Yes No *.
• Do you consent to a criminal background check as part of the recruitment process? Yes No.
• Do you consent to a criminal background check as part of the recruitment process? Yes No --Yes - I ConsentNo.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No *.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No --Yes - I ConsentNo.
• More information.
• Your Resume *.
• To attach your Resume, click here to upload from your Computer.
• Security code *.
• Submit.
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• Be able to work in Suvarnabhumi Airport (BKK).
• Verify that Aircraft Technical Log and Maintenance Work Package entries are correct and complete.
• Record Equipment replacement in AMOS from Logbooks and scheduled tasks (WO/WP).
• Ensure that all Aircraft Technical Log and Maintenance Work Package entries are correctly entered into AMOS.
• Ensure the liaison with Scheduled Maintenance Planning and Engineering Departments in respect of component configuration and status.
• Other assignments from the direct Manager.
• Bachelor degree program in engineering or technical field.
• Be able to read, write, understand and communicate in English language.
• Standard computer literacy in MS Office.
• Team work spirit.
• Able to travel as when it is required.
• employmentType":"Full-time",.
• hiringOrganization": {.
• type": "Organization",.
• name": "VietJet Thailand",.
• sameAs": "https://hiring.vietjetthai.com".
• identifier": {.
• type": "PropertyValue",.
• name": "OFFICER, TECHNICAL DATA ENTRY",.
• value": "11138".
• title": "OFFICER, TECHNICAL DATA ENTRY",.

ทักษะ:

EHS Management

ประเภทงาน:

งานประจำ

• EHS Officer (Data Centre).
• Summary.
• INCO: "Cushman & Wakefield".

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Microsoft Office, Risk Management, Internal Audit, Procurement, Assurance

ประเภทงาน:

งานประจำ

• Supervise the day-to-day activities of the Data Privacy Team and ensure that privacy-related work is prioritized, completed accurately, and delivered within agreed timelines.
• Support the Deputy DPO and DPO in overseeing compliance with the PDPA, subordinate regulations, regulatory guidance, and internal data protection policies across the Company and relevant group entities.
• Develop, maintain, and enhance the organization's privacy governance framework, incl ...
• Advise business units and support functions on the lawful collection, use, disclosure, transfer, retention, and disposal of personal data throughout the information lifecycle.
• Review and provide privacy advice on new products, services, distribution channels, digital initiatives, marketing activities, data analytics, artificial intelligence use cases, outsourcing arrangements, and material business changes.
• Coordinate with the AI Compliance Officer and relevant Legal, Compliance, Risk, Information Security, Technology, and business teams to assess and manage AI systems and use cases integrated into personal data processing activities, including privacy-by-design requirements, lawful basis, transparency, data minimization, automated decision-making, security safeguards, human oversight, third-party risk, and ongoing compliance monitoring.
• Lead or coordinate privacy impact assessments, data protection impact assessments, legitimate interest assessments, and other privacy risk assessments, as applicable.
• Oversee the maintenance of records of processing activities, data inventories, consent and preference management processes, privacy notices, data retention schedules, and data-sharing documentation.
• Coordinate the handling of data subject rights requests and ensure responses are complete, consistent, legally compliant, and delivered within statutory timelines.
• Support the assessment, escalation, investigation, documentation, and regulatory notification of personal data breaches in collaboration with Information Security, Legal, Compliance, Risk, Operations, and other relevant stakeholders.
• Review privacy clauses in contracts, data processing agreements, intra-group arrangements, vendor agreements, and cross-border data transfer mechanisms, in coordination with Legal and Procurement.
• Monitor third-party and service-provider privacy risks, including due diligence, contractual safeguards, control assessments, remediation tracking, and ongoing compliance monitoring.
• Design and deliver privacy awareness, role-based training, communications, and practical guidance for employees, management, agents, business partners, and other relevant stakeholders.
• Establish and monitor privacy compliance metrics, key risk indicators, control testing results, incident trends, remediation plans, and management reporting for the Deputy DPO, DPO, senior management, and relevant committees.
• Coordinate with regulators, external auditors, internal auditors, group privacy functions, and other assurance providers, as assigned by the Deputy DPO or DPO.
• Promote a strong privacy culture and embed privacy-by-design and privacy-by-default principles into business processes, systems, products, and organizational decision-making.
• Perform other data privacy, governance, compliance, or risk-management duties assigned by the Deputy DPO or DPO.
• Bachelor's degree or higher in Law, Information Technology, Computer Science, Cybersecurity, Information Security, Risk Management, Compliance, Business Administration, Finance, Insurance, or another relevant discipline.
• At least 5 years' experience in Compliance, Legal, Risk Management, Information Security Governance, Internal Control, or any related field; managerial or team-supervision experience is preferred.
• Preferred 3 - 5 years of relevant experience in Data Privacy / Data Protection.
• Experience in the financial services sector is preferred, with life insurance, insurance, banking, securities, or other regulated financial-sector experience considered a strong advantage.
• Practical knowledge of the PDPA and its application to business operations, customer data, employee data, marketing activities, digital channels, vendors, and regulated financial services.
• Hands-on experience implementing PDPA compliance frameworks and supporting the governance, risk assessment, or compliant deployment of artificial intelligence (AI) solutions in business operations, particularly where AI is integrated into personal data processing activities, is preferred.
• Experience working with senior management and cross-functional stakeholders, including Legal, Compliance, Risk, Information Security, Technology, Operations, Human Resources, Marketing, Procurement, and Internal Audit.
• Completion of recognized PDPA, data protection, privacy management, or DPO training programs offered by reputable educational institutions, professional bodies, or recognized training providers.
• Relevant professional certification is preferred, such as equivalent privacy, compliance, information security, or risk-management credential.
• Strong analytical, problem-solving, judgment, and risk-assessment capabilities, with the ability to translate legal and regulatory requirements into practical business controls.
• High level of integrity, discretion, independence, and professionalism when handling confidential or sensitive information.
• Good command of English, particularly effective listening and speaking skills, is preferred; strong business writing and presentation skills in English are an advantage.
• Proficiency in Microsoft Office applications and the ability to work with privacy governance, risk, compliance, incident-management, or data inventory tools is advantageous.
• About Krungthai-AXA Life Insurance Krungthai-AXA Life Insurance Public Company Limited, created from a solid co-investment partnership between Krungthai Bank PCL. and the AXA Group, global financial protection and asset-management specialists.
• The trademark of Krungthai-AXA Life Insurance is designed to indicate the combination of the two corporations. Krung Thai Bank PCL. and AXA Group logos are aligned with Thai characters displaying the company name as Krungthai-AXA Life Insurance placed above the red line and the new company signature. Redefining/Life Insurance.
• Today Krungthai-AXA Life Insurance Public Company Limited is a fast-growing life insurance company with a vision - Ambition AXA.
• Our Perks and benefits.
• Employee and Family Health Insurance Benefits.
• Life and Accident Insurance Benefits.
• Hybrid Working and Flexible Working Hours.
• Annual Leave & Birthday Leave.
• Salary Increment & Bonus.
• Digital Learning - Self Learning Organization.
• Annual Health Check up.
• Provident Fund.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Automation, Power BI, ERP, English

ประเภทงาน:

งานประจำ

• Manage and support the day-to-day operations of data management systems, including SAP BW.
• Develop, implement, and maintain data management processes and procedures.
• Collaborate with stakeholders to understand business requirements and data needs.
• Design and implement data storage solutions, such as databases, data warehouses, and data lakes.
• Extract, transform, and load (ETL) data from multiple sources, including SAP ERP systems and non-SAP, into the data management systems.
• Ensure data quality and accuracy by implementing data validation and reconciliation processes.
• Monitor data management systems to ensure stability, performance, and security.
• Automate data management tasks and workflows.
• Provide technical support to end-users and resolve any data-related issues.
• Analyze data and identify trends to support decision-making and strategic planning.
• Create dashboards, reports, and visualizations using BI tools such as PowerBI, etc.
• Document data management systems and processes.
• Bachelor Degree in Computer Engineering, Computer Sciences or Management Information System.
• At least 2-3 years in Management Information System or Information Technology / New Graduate are welcome.
• Specific business application and data warehousing software: SAP BPC (Business Planning and Consolidation - Financial Consolidation), IBM Planning Analytics (TM1 - Financial Projection), SAP BW (Data Warehouse), Data analytics and Business Intelligence Enterprise Asset Management (EAM), Asset Performance Management (APM), IoT for real-time operational data ingestion, sustainability management tool and carbon reporting, Intelligent automation (RPA), Aritificial Intelligence, Machine learning and Conversational User Interface (Chatbot) or related solution.
• Management Information System.
• IT system analysis.
• Good command of English language / TOEIC over 600.

ทักษะ:

Compliance, Legal

ประเภทงาน:

งานประจำ

• Coordinate with consultants and internal stakeholders to support the development, implementation, and continuous improvement of data protection policies and procedures in compliance with PDPA requirements.
• Collaborate with consultants, business units, and process owners to facilitate Data Protection Impact Assessments (DPIAs), privacy reviews, and compliance audits.
• Coordinate with internal stakeholders to monitor data protection compliance activities across the RBH Group and support the preparation of compliance reports and recomm ...
• Act as a key coordination point between consultants, relevant departments, data protection authorities, and data subjects to ensure effective communication and timely resolution of data protection matters.
• Partner with consultants, HR, Legal, IT, and business teams to organize and deliver data protection awareness programs, training sessions, and communication initiatives.
• Coordinate with consultants and cross-functional teams in the investigation, reporting, and remediation of data breach incidents, ensuring actions are completed within regulatory timelines.
• Work closely with process owners and consultants to maintain accurate and up-to-date records of data processing activities across the organization.
• Collaborate with internal stakeholders to integrate data protection requirements into business processes, systems, projects, and operational activities.
• Coordinate with business units and consultants to ensure privacy notices, consent management processes, and related documentation are properly maintained and periodically reviewed.
• Liaise with consultants and relevant stakeholders to stay informed of changes in data protection regulations, industry standards, and best practices, and support the assessment of their impact on the organization.
• Bachelor's degree in law, Information Security, Data Protection, or a related field.
• In-depth knowledge of PDPA and other relevant data protection regulations.
• Strong understanding of data protection principles and practices.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills.
• Ability to manage multiple tasks and work under pressure.
• A criminal background check will be conducted as part of the company's employment consideration process.
• Personal Data Protection Notice.
• For your Personal Data Protection, please refer to Rabbit Holdings' Personal Data Protection Policy at: Personal Data Protection Policies | Rabbit Holdings.
• The Company does not intend to collect sensitive personal data unless otherwise specified. Please refrain from submitting any sensitive personal data.

ทักษะ:

Financial Analysis, Recruitment, Accounting, English

ประเภทงาน:

งานประจำ

• Email Address.
• Phone Number.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes No.
• Do you consent to Vietjet Thailand collecting, using, and processing your personal data for recruitment purposes in accordance with the Personal Data Protection Act (PDPA)? Yes - I consent No Do you consent to a criminal background check as part of the recruitment process? Yes No.
• Do you consent to a criminal background check as part of the recruitment process? Yes No Yes - I consent No If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes No.
• If selected, do you agree to undergo and pass a pre-employment medical examination prior to employment? Yes - I Consent No What's your expectation salary? (THB) * + More information Your Resume.
• To attach your Resume, click here to upload from your Computer. Security code.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Project Management, Data Analysis

ประเภทงาน:

งานประจำ

• Pathum Wan, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Data Science.
• 1\. Project Lifecycle & Operations Management.
• Collect, evaluate, and synthesize complex project requirements into clear, actionable operational execution plans in alignment with internal stakeholder objectives.
• Oversee end-to-end project schedules, financial allocations, team quality benchmarks, and manpower distribution to guarantee on-time deliverable execution.
• Serve as a central communication bridge to facilitate seamless coordination between content moderation teams, quality assurance leads, and internal business departments.
• Maintain accurate project documentation, audit trails, and periodic executive progress reports to track operational milestones.
• Formulate and deploy client-centric strategies designed to elevate satisfaction metrics, operational transparency, and long-term retention.
• 2\. Contractor & Content Moderator Management.
• Assess project-specific staffing requirements, design targeted recruitment strategies, conduct structured interviews, and manage background verification processes to onboard qualified contractor talent.
• Direct the complete onboarding lifecycle - including corporate orientations, policy training, and seamless integration into active project workflows.
• Continuously audit contractor outputs against established SLAs, enforce operational guidelines, and execute multi-tiered Quality Assurance (QA) protocols to maintain high accuracy and data consistency.
• Provide ongoing operational support, conduct regular performance reviews, and deliver constructive feedback loops to optimize overall workforce efficiency.
• 3\. Continuous Improvement & Innovation.
• Audit existing data labeling and content moderation workflows to diagnose operational bottlenecks and implement systemic process enhancements.
• Stay informed on global content moderation frameworks, AI-assisted labeling trends, and industry best practices to introduce scalable, innovative operational solutions.
• Bachelor's or higher degree in Project Management, Business Administration, Data Analytics, or a related discipline.
• Minimum of 1+ years of experience in project management, operations coordination, data analysis, or a closely related functional field.
• Strong analytical capabilities with a robust understanding of operational statistics, data interpretation, and workflow metrics.
• Advanced expertise in.
• MS Excel.
• (complex functions, data modeling) and data analysis tools. Direct proficiency in enterprise project management platforms (e.g., JIRA, Asana, Trello) is considered a distinct advantage.
• Exceptional attention to detail, high reliability, and a proven track record of rapid learning agility and adaptability in fast-paced environments.
• Superior verbal and written communication skills in English, with a demonstrated ability to articulate complex operational concepts, technical guidelines, and project metrics clearly to diverse internal and external stakeholders.
• Hybrid Working.
• options with.
• Flexible Working Hours.
• Mac or Windows? You pick your preferred work equipment.
• Comprehensive Group Health Insurance.
• Monthly GrabFood and Grab Transportation credits.
• Job-related training courses, plus.
• Free Language Courses.
• and certificate fee coverage.
• 10+ days of annual leave.
• Free snacks and drinks available at the office.
• Apply.
• Apply at Data Wow Co., Ltd.](https://apply.workable.com/datawow/j/F7A2F97FEC/apply).

ทักษะ:

Microsoft SQL Server, Data Analysis, Fast Learner, Recruitment, Data Entry

ประเภทงาน:

งานประจำ

• Handle data validation and processing in operational level aligned with standards and SLAs of MSE Mapping Operations.
• Analyze, report, and distribute validation results, suggest ideas with actionable plan to improve and develop both manual and automated workflows regarding quality and efficiency.
• Maintain and improve work standards and SOPs/guidelines, ensuring documents are always up to date.
• Collaborate with internal and external stakeholders to improve quality of works regarding operational and/or technical approaches, also propose idea with actionable plan to standardize workflows and documents.
• Identify, troubleshoot, and resolve issues upon request.
• Support ad-hoc projects upon requests.
• Are self-driven, self-organized and hard working: there is a lot to do here. It's fun, rewarding and you will learn tons along the way, but it's still a lot and we need someone who really wants to make a difference.
• Have the ambition to become something more: we hire for the long term and help people grow.
• You will learn a lot and get a real chance to progress in your career.
• Want a chance to learn how to innovate and always improve: Agoda is never happy with the status quo: we're on a quest for continuous improvement. You will learn how to review what you do, how to analyze data, how to come up with ideas and how to validate hypothesis before testing them and seeing what kind of results you can actually drive yourself.
• Undergraduate degree from an accredited university (fresh graduates are welcome).
• Excellent written and verbal communication skills in English; fluency in other languages is a plus.
• Experiencing in day-to-day operations in tech or Hospitality/OTA industry is a plus.
• Data-driven, analytical, and detail-oriented mindsets are required.
• Ability to work under pressure and time-constraint environment; fast learner, adapts well to and is energized by change.
• Ability to self-manage, multi-task, communicate effectively, work independently, and work as a team; proactive, friendly, with a sense of ownership.
• Proficiency in MS Excel (i.e. Pivot table, Vlookup).
• SQL skill is a plus.
• ntrylevel ai data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics powerbi.
• 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.

ทักษะ:

Risk Management, Compliance, Power BI

ประเภทงาน:

งานประจำ

• Data & AI Governance Framework and Policy Management Maintain governance documents, policies, standards, procedures, inventories, approval records, and meeting actions..
• Data and AI Inventory Management Maintain inventories of critical data, datasets, reports, AI models, AI use cases, data owners, and system owners..
• Data and AI Risk Management Support risk assessments, record identified risks, maintain action plans, and follow up with assigned owners..
• Data Quality and Lifecycle Governance Monitor data-quality issues, ownership, classification, retention, access, lineage, and issue-remediation status..
• Responsible AI and Model Governance Collect AI assessment information and maintain evidence relating to intended use, data sources, testing, approval, and monitoring..
• Compliance and Control Monitoring Collect evidence, perform control checks, document gaps, and track corrective actions against policies and applicable requirements..
• Issue, Incident and Exception Management Maintain records of data incidents, AI incidents, policy exceptions, findings, owners, due dates, and closure evidence..
• Reporting and Continuous Improvement Prepare operational dashboards and reports covering inventory, assessments, issues, incidents, exceptions, and overdue actions..
• QualificationsBachelor s degree in Information Technology, Computer Science, Data Analytics, Business Information Systems, Risk Management, or a related field.
• 2-4 years of experience in data governance, IT governance, risk management, compliance, internal control, data management, or a related field.
• Basic understanding of data governance principles, data quality, data classification, data privacy, and data lifecycle management.
• Familiarity with AI governance, Responsible AI, or AI risk management is an advantage.
• Experience in maintaining governance documentation, tracking issues and corrective actions, coordinating assessments, and preparing management reports.
• Good analytical, organizational, and documentation skills, with strong attention to detail.
• Proficient in Microsoft Excel and PowerPoint; experience with Power BI or other reporting tools is an advantage.
• Good communication and coordination skills, with the ability to work effectively with cross-functional stakeholders.

ทักษะ:

SQL, Power BI, Python

ประเภทงาน:

งานประจำ

• 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.
• คุณสมบัติสำเร็จการศึกษาระดับปริญญาตรีขึ้นไป 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.
• ทักษะที่จำเป็นSQL.
• Power BI.
• Microsoft Excel.
• Customer Analytics.
• CRM & Loyalty Analytics.
• Dashboard Development.
• Analytical Thinking..

ทักษะ:

Analytical Thinking, Product Development, Architecture, Javascript, TypeScript

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third party tools and logs.
• Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation.
• Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.
• Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics.
• Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high volume CEG data (calls, chats, emails, cases, events).
• Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).
• Data Tools & Product Development.
• Design and build data tools and internal products for CEG (e.g., self service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
• Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams.
• Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration.
• Apply solid software engineering practices - testing, code reviews, CI/CD, observability - to data products so they are reliable, maintainable, and easy to extend.
• At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.
• Data Analytics & Business Impact.
• Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.
• Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self service access to data.
• Perform deep dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data driven recommendations.
• Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools.
• Communicate findings in simple, business friendly language, including clear implications and recommended next steps.
• Stakeholder & Team Collaboration.
• Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership).
• Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG.
• Mentor junior and mid level team members on data engineering, analytics, and software engineering best practices.
• Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews).
• At Staff level, influence cross team architecture and ways of working, making sure CEG's data ecosystem scales with business growth.
• Required.
• 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data driven environment (Staff level typically 10+ or equivalent scope/impact).
• Strong SQL skills (complex joins, window functions, aggregation, query optimization).
• Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks).
• Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript).
• Experience building production grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.
• Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker).
• Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
• Ability to communicate complex topics in simple, concise language to non technical stakeholders.
• Preferred.
• Experience with event driven data (logs, clickstream, customer journey, contact flows, tracking data).
• Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema).
• Experience with A/B testing, experimentation platforms, or causal analysis.
• Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations).
• Experience in online consumer products, travel, e commerce, or marketplaces.
• Hands on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams.
• Prior experience in a Staff or Tech Lead role, driving technical direction and mentoring multiple engineers/analysts.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Analysis, Architecture, Power point, Power BI, Tableau

ประเภทงาน:

งานประจำ

• Design, build and maintain recurring and ad hoc dashboards and Management Information (MI) reports on health claims covering volumes, benefit remaining turnaround time, loss ratios, leakage, and other KPIs.
• Extract, clean, consolidate and validate claims data from multiple source systems/databases to ensure accuracy and consistency of Reporting.
• Perform in-depth data analysis to identify trends, anomalies and improvement opportunities across the claim's portfolio, and translate findings into actionable insights ...
• Prepare executive-level reports and presentations (PowerPoint/dashboards) for senior management, summarizing claims performance and transformation progress.
• Partner with all stakeholders to gather Reporting requirements and ensure reports meet business needs.
• Support the Health Claims Transformation initiative by identifying opportunities to automate and streamline Reporting processes (e.g. Power BI/Power Query, macros).
• Maintain documentation of report logic, data sources and definitions to ensure consistency, governance and continuity of Reporting.
• Bachelor's degree in Information Technology or a related field.
• 2-4 years of experience in Reporting, data management, data operation, data analytics or MI or a related data-intensive environment.
• Advanced Excel skills required (pivot tables, Power Query, complex formulas, macros/VBA a plus).
• Hands-on experience with dashboarding/BI tools such as Power BI or Tableau; SQL or database query skills preferred.
• Familiarity with Azure/cloud data platforms (e.g., Azure Data Lake, Synapse Analytics) to understand data architecture and access data for reporting and analysis is a plus.
• Strong PowerPoint and data storytelling skills, with the ability to prepare clear, executive-ready presentations.
• Strong analytical mindset with high attention to detail and data accuracy.
• Good stakeholder management and communication skills; able to work with both technical and business teams.
• Proficiency in leveraging AI tools and assistants to enhance productivity and reporting accuracy.
• Good command of business English (written and spoken); Thai language skills as needed for local stakeholders.
• International work environment within Diversity & Inclusion.
• Enjoy flexible working lifestyle (Flexi time & WFH).
• Long-term saving & Flexi investment.
• Medical & Well-being programs.
• Digital learning platform to grow your potential.
• Good location: Siam Patumwan House (near BTS National Stadium).
• We offer excellent career prospects and attractive remuneration package to the right candidates.
• All application will be treated in the strictest confidential. Interested applicants please e-mail or send application with recent photo and expected remuneration to: "APPLY NOW".
• By submitting your CV to AXA, you acknowledge and agree on all the information set forth in the AXA Privacy Policy which can be found at https://www.axa.co.th/en/privacy-candidate-statement.

ทักษะ:

Data Warehousing, Recruitment, Power BI, ETL, SQL

ประเภทงาน:

งานประจำ

• Data Solution Development & Operations (60%) Perform round-the-clock monitoring of data pipelines, ETL processes, and integrations. Ensure high availability of data platforms, dashboards, and reporting systems. Monitor data ingestion pipelines (batch & real-time), data transformation jobs, and dashboard refresh schedules. Validate data freshness, completeness, and timeliness against SLAs. Proactively detect anomalies such as failed jobs, delayed feeds, and data discrepancies.
• Data Quality & Governance (20%) Perform data validation checks focusing on completen ...
• Documentation & Reporting (10%) Maintain runbooks, SOPs, monitoring dashboards, and incident/resolution reports. Produce daily and weekly operational reports tracking system uptime, incident statistics, and SLA compliance. Continuously update process documentation.
• Project Coordination & Ad-Hoc Duties (10%) Convert business needs into technical specifications and establish timelines for job completion. Support the roll-out of new applications, including Design, SIT, UAT, and Training. Handle ad-hoc projects and duties as assigned by department management. Functional & Technical Skills Strong technical knowledge of SQL / data query troubleshooting and a solid understanding of ETL / data pipelines. Hands-on experience with monitoring tools and ITIL-aligned incident management. Background with BI tools and systems, specifically Power BI and the Microsoft BI Stack. Experience in data integration, data warehousing, and big-data-related initiatives (development and implementation). Proficient in performing advanced-level computations on datasets and application lifecycle administration. Strong application troubleshooting, analytical, and problem-solving skills. Business acumen with the ability to understand how businesses function and align with current trends. Exceptional communication and stakeholder management skills.
• Education & Experience.
• Bachelor's degree in Information Technology, Computer Science, or an equivalent field. Certifications (Preferred/Required): ITIL Certification Microsoft SQL Certification Microsoft Data Platforms (Power BI and Fabric) Microsoft O365 Platform Experience: Proven experience supporting multiple sites, time zones, and languages. Attributes: High level of confidentiality, strong customer focus, and a track record of driving results despite obstacles. Note to External Recruitment Agencies: Terumo does not recognize candidate submissions from any recruitment agencies and will not be responsible for payment of any recruitment fees due to the hiring of candidates whose resumes were submitted to Terumo employees or offices without the recruiting team's acknowledgement.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Architecture, Recruitment, Big Data, YouTube

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

MongoDB, Python, Hadoop, Apache, MySQL

ประเภทงาน:

งานประจำ

• About LINE MAN Wongnai.
• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. 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 LINE MAN and Wongnai. 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 an experienced data lead to develop large and high performance data processing systems to drive our business growth. Working in a fast-paced environment, you will bring your expertise and skills to tackle the challenges that impact millions of people on our journey to become the No.1 food platform in Thailand.
• Design and develop large and high performance data processing systems to drive LINE MAN Wongnai business growth and improve the product experience.
• Lead and oversee data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable.
• Improve data quality to management and governance.
• Evangelize high quality software engineering practices towards building data pipelines and platforms at scale.
• Contribute to shared engineering tooling & standards to improve the productivity and quality of output for engineers across the company.
• At least 3-7 years of practical or hands-on experience in Data Engineering or relevant industry.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
• Knowledge and experience with data quality frameworks (e.g., Great Expectations).
• Working knowledge with both relational and non-relational databases (e.g., MongoDB, MySQL, PostgreSQL).
• Strong proficiency in SQL, Python, and other programming languages commonly used in data engineering.
• Extensive hands-on experience with Apache Spark Batch/Real Time and performance tuning.
• Proven hands-on experience with Hadoop and familiarity with open table formats.
• Experience with Polars and DuckDB (Preferable).

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Architecture, Python, Cloud Computing, ETL, SQL

ประเภทงาน:

งานประจำ

• Data Architecture, Data Engineer & Data Modeling.
• SQL, Python, Spark.
• Data Warehouse, Data Lake, Lakehouse.
• ETL/ELT, Data Orchestration.
• Cloud platforms (Azure / Huawei / AWS).
• Data Governance, Security, and Regulatory Compliance.
• Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
• 8+ years experience in Data Engineering / Data Architecture.
• Strong experience in Insurance domain (Life, Non-Life, or Health) is a big plus.
• Proven experience designing large-scale, enterprise data platforms.
• Hands-on background with modern data technologies and cloud environments.
• Strong communication skills with both technical and business stakeholders.
• The Data Architect is responsible for defining and governing enterprise data architecture to support insurance business operations and analytics. This role ensures scalable, secure, and high-quality data platforms by bridging business requirements and technical data solutions, leveraging strong Data Engineering expertise and deep insurance domain knowledge.
• Key Responsibility.
• Design and own enterprise-level Data Architecture aligned with insurance business strategy.
• Define and maintain architecture for Data Warehouse, Data Lake/Lakehouse, and analytics platforms.
• Translate insurance business requirements (Policy, Claim, Underwriting, Customer) into scalable data solutions.
• Lead data modeling (conceptual, logical, physical) and integration standards.
• Architect and review ETL/ELT pipelines (batch and real-time).
• Establish data governance, data quality, security, lineage, and compliance standards.
• Provide architectural guidance and design reviews for Data Engineering teams.
• Support BI, regulatory reporting, and advanced analytics / AI use cases.
• Job Expectation.
• Define and own end-to-end data architecture for insurance data platforms.
• Deliver scalable and reliable data models for Insurance business.
• Ensure data solutions meet standards for governance, security, quality, and regulatory compliance.
• Provide architectural and design reviews for Data Engineering teams.
• Enable timely delivery of BI, reporting, and advanced analytics use cases.
• Align data architecture decisions with business strategy and technology roadmap.
• Act as a subject matter expert for data-related initiatives within the insurance domain.

ทักษะ:

Thai, English

ประเภทงาน:

งานพาร์ทไทม์

• Data collection, evaluation, and annotation.
• Pairwise comparisons.
• Counting tasks.
• Object tagging and labeling across different content types (audio, video, images, or collected data).
• Native-level fluency in Thai.
• English Proficiency: Fluent or advanced proficiency in English (levels B2-C2).
• AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling.
• What We Offer.
• Flexible schedule.
• Opportunity to earn extra income.
• Timely payments.
• The job is ideal for students, part-timers, or stay-at-home parents.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Backbone, Python, DevOps

ประเภทงาน:

งานประจำ

• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

ETL

ประเภทงาน:

งานประจำ

• Pipeline Development: Design, build, and maintain reliable ETL/ELT pipelines that deliver accurate, complete data from source systems to the data warehouse within agreed timelines.
• Data Modeling: Develop and maintain data models and schemas that are logical, well-organized, and easy for the business to consume.
• Operational Excellence: Keep the platform running: monitor pipeline health, troubleshoot failures fast, and uphold uptime and data availability SLAs.
• Scalability & Efficiency: Build for scale and cost: design solutions that handle growing data volumes without performance degradation, and continuously optimize storage and processing costs.
• Govern and Protect the Data.
• Metadata Management: Maintain data dictionaries and metadata so users across the business can find and understand the information they need.
• Quality Assurance: Implement automated data quality checks (accuracy, completeness, validity) into the pipelines you build, catching issues before they reach decision-makers.
• Compliance: Follow and help enforce the governance framework that protects sensitive company and customer data - supporting our standing target of zero data security incidents and full compliance with PDPA and financial-sector regulations.
• Partner with the Business.
• Requirement Gathering: Sit down with business users to understand their problems and gather requirements - then translate those needs into datasets, pipelines, and data products that actually solve them.
• Proactive Communication: Clarify ambiguous requests, explain trade-offs, and keep stakeholders informed of what's coming and when.
• Data Platform Uptime and Data Availability SLA.
• Data Quality Score across critical datasets.
• Cost Per Terabyte Managed.
• Count of data security incidents (Target: Zero).
• The Ideal Candidate: A Builder Who Owns the Whole ProblemWe are seeking an engineer who doesn't stop at "the pipeline ran." The ideal candidate takes ownership from the business conversation all the way to the delivered dataset: technically strong enough to build robust, scalable pipelines, disciplined enough to document and govern what they build, and communicative enough to work directly with non-technical stakeholders without a translator in between.
• Required Experience & Qualifications.
• Professional Experience: 0-5 years of experience in data engineering, ETL development, or a closely related field. Highly motivated new graduates are strongly encouraged to apply, provided you can demonstrate technical execution through intensive internships, capstone projects, or a robust personal portfolio. Experience in financial services or another regulated industry is a strong advantage.
• Educational Background: A Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Statistics, or a related field.
• Core Technical Skills: Exceptional SQL abilities and solid programming skills (Python preferred). You must have hands-on experience - whether professionally or through rigorous academic/personal projects - building and operating ETL/ELT pipelines and working with data warehouses.
• Valuable Additions: Exposure to cloud data platforms, workflow orchestration tools (e.g., Airflow, Dagster), automated data quality tooling, or data catalog/metadata management.
• Regulatory Awareness: A working knowledge of the Personal Data Protection Act (PDPA) and familiarity with financial-sector regulatory requirements is a plus.
• Essential Qualities & Skills.
• A Builder's Mindset: You are passionate about creating and improving - cleaner pipelines, better models, smarter automation.
• End-to-End Ownership: You chase issues to their root cause and fix them so they stay fixed.
• Analytical Skills: The ability to untangle complex data issues and design solutions that hold up under growth.
• Business Curiosity: You want to know why the business needs the data, not just what columns to deliver.
• Communication: The ability to talk requirements with business users in their language and design with engineers in theirs.
• Meticulous & Disciplined: You document what you build, test what you ship, and treat data quality and security standards as non-negotiable.
• Additional.
• This role is based full-time at our Headquarters in Greater Bangkok - Pak Kret.
• Commitment to Excellence: We need hard workers. We believe that building anything great requires a level of focus and dedication that is incompatible with a conventional "work-life balance." We explicitly reject this mindset because it does not lead to extraordinary outcomes. This is a role for those who are passionate about building something great and are willing to dedicate the long hours required to build a data platform the entire company can trust.
• Compensation and Benefits.
• Your actual level and base salary will be determined on a case-by-case basis and may vary based on job-related knowledge, skills, and experience.
• The base salary is just one part of your total rewards package. You will also receive access to comprehensive benefits, paid leave, and other company perks, which will be discussed during the interview process.
• Equal Opportunity Employer: Our company is an Equal Opportunity Employer; employment is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, religion, gender, disability status, age, sexual orientation, gender identity, or any other legally protected status.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Instrument

ประเภทงาน:

งานประจำ

Vocational or bachelor's degree in electrical, instrumentation, or control engineering; 1+ years experience with electrical, instrumentation, control systems, BMS, or PMS; Knowledge of electrical installation, instrumentation, control panels, and signal systems; Testing and commissioning expertise; Planning, control, and coordination skills; Analytical problem-solving ability.