เงื่อนไขการค้นหา

ทักษะ:

Problem Solving, Postgre SQL, Automation, PowerShell, Leadership Skill

ประเภทงาน:

งานประจำ

• Provide technical leadership for manufacturing data operations, ETL services, data-flow reliability, monitoring, recovery, and continuous improvement.
• Define technical standards, operational procedures, service ownership boundaries, escalation paths, and readiness requirements for critical data services.
• Guide the design and improvement of Apache NiFi pipelines, data collection, validation, transformation, routing, replay, reconciliation, exception handling, and lineage.
• Lead complex incident investigation, technical recovery, root-cause analysis, corrective action, and prevention of recurring failures.
• Review operational trends and risks to prioritize monitoring improvements, automation, resiliency, documentation, and technical debt reduction.
• Coordinate technical work across application, infrastructure, network, cybersecurity, database, enterprise data, and factory teams.
• Enable the 24/7 L1 FIS Operations team with current knowledge-base articles, runbooks, standard procedures, troubleshooting guides, recovery instructions, and clear escalation criteria.
• Plan and deliver technical training, knowledge-transfer sessions, practical troubleshooting exercises, and coaching for L1 personnel.
• Define the standard incidents L1 can resolve, first-response checks to perform, evidence to collect, and conditions for escalation.
• Act as the L2/L3 escalation point for incidents that cannot be resolved through approved L1 procedures.
• Analyze logs, pipeline status, interfaces, files, messages, SQL results, dependencies, and service behavior to isolate complex failures.
• Recover and reconcile disrupted data flows, validate downstream delivery, support business-impact communication, and restore services safely.
• Lead deep technical investigation of recurring, high-impact, or cross-system issues and implement permanent fixes, monitoring controls, failover improvements, automation, and data-quality safeguards.
• Convert L2/L3 findings into improved L1 knowledge, diagnostics, alerts, training, and preventive controls.
• Support manufacturing data services across Slider, HGA, HSA, Drive, SDET, ComET, DVL, FDB, ETS, and related environments.
• Monitor data arrival, pipeline execution, queues, service health, failures, recovery, and downstream delivery.
• Support factory data transfers including Slider-to-HGA, HGA-to-HSA/Drive, and HGA-to-EDW flows.
• Use strong SQL and database knowledge to troubleshoot data issues, validate schemas and interfaces, and identify database-related dependencies.
• Work closely with Oracle and PostgreSQL database teams on connectivity, access, performance, capacity, backup/recovery, patching, high availability, security, migration, and upgrade activities.
• Support FISGetPutServer and FISFactoryService installation, configuration, monitoring, troubleshooting, failover, relay, and feed-forward integration.
• Provide advanced support for SeaTrack, Unify SeaTrack, PARIS, CMS, FDB/DVL, work-order tools, equipment tracking, and shop-floor event-history integrations.
• Maintain technical designs, service inventories, configuration records, data-flow maps, runbooks, recovery procedures, support contacts, and escalation matrices.
• You are a hands-on senior IT professional who can lead technical data-operations practices without being a people manager. You translate deep technical knowledge into clear guidance for frontline operations, take ownership of difficult escalations, coach L1 personnel, investigate cross-system data issues, and coordinate specialist teams until services are stabilized and preventive improvements are implemented.
• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Data Engineering, or a related field, or equivalent practical experience.
• Strong experience in production data operations, ETL/data integration, data-flow services, or manufacturing IT.
• Experience providing L2/L3 production support within a tiered 24/7 support and escalation model.
• Ability to lead technical problem solving and develop knowledge-base articles, runbooks, troubleshooting guides, and L1 training material.
• Experience building or operating ETL/data-flow pipelines; Apache NiFi experience is strongly preferred.
• Strong SQL and relational-database knowledge, including Oracle and PostgreSQL concepts, connectivity, schemas, transactions, query troubleshooting, performance considerations, and data integrity.
• Ability to work effectively with DBA teams on database incidents, access, backup/recovery, high availability, capacity, patching, migration, and performance issues.
• Strong incident leadership, root-cause analysis, technical communication, coaching, and cross-team collaboration skills.
• Preferred: Experience supporting high-volume manufacturing, MES/FIS, shop-floor, equipment integration, or traceability systems.
• Preferred: Participation in Oracle-to-PostgreSQL migration or application stabilization in partnership with DBA teams.
• Preferred: Python, PowerShell, Bash, or equivalent scripting for operational automation and data validation.
• Preferred: Kafka or event streaming, enterprise data warehouses, observability platforms, or data-quality frameworks.
• Preferred: Knowledge of ITIL, incident/problem management, change management, BC/DR, cybersecurity, and audit controls.
• Teparuk Thailand.
• Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads - a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers' group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.
• Information at a Glance.
• About Us.
• With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
• We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
• Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
• Join us and get inspired to make a difference in the datasphere!.
• Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster.
• Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at [email protected].
• All Seagate jobs will remain open for a minimum of seven days.
• For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

ทักษะ:

ETL, SQL

ประเภทงาน:

งานประจำ

• Are you a technically minded data professional who enjoys solving complex data challenges and making sure information flows accurately across systems and teams? As Data Integration Specialist - ETL & Data Loading at Allianz Partners in Bangkok, you will be responsible for the end-to-end process of loading beneficiary data into our portfolio management system - ensuring alignment with business objectives and the needs of our partners, claims teams, and reporting functions. Allianz Partners operates as a B2B2C business, connecting corporate partners such as travel companies, automoti ...
• Data Loading & Partner Onboarding.
• Manage the onboarding of business partners at a global level, ensuring smooth integration of beneficiary data into our systems.
• Coordinate with business partners and internal stakeholders on datasets, upload frequency, and data requirements.
• Set up and maintain SFTP connections with business partners, ensuring secure and reliable data transfer.
• Troubleshooting & Issue Resolution.
• Investigate and resolve data loading issues, conducting root cause analysis for recurring problems and implementing preventive measures.
• Manage multiple requests and prioritise effectively to ensure timely resolution.
• Communicate outcomes and recommendations clearly to relevant stakeholders.
• Process Optimisation & Compliance.
• Identify and implement improvements to data loading processes to enhance efficiency, accuracy, and scalability.
• Maintain awareness of data privacy regulations including PDPA and GDPR, ensuring day-to-day data handling practices are aligned with company policies.
• Maintain a clear understanding of data touchpoints across all Lines of Business.
• Stakeholder Collaboration.
• Work closely with operations, contract implementation, claims, underwriting, and digital teams to ensure seamless data integration.
• Act as a reliable point of contact for business partners and internal teams, bridging technical and business requirements.
• Quality Assurance & Testing.
• Support and participate in User Acceptance Testing (UAT) to ensure data quality, system functionality, and alignment with business requirements.
• Implement monitoring and logging mechanisms to ensure transparency and traceability of data activities.
• Continuous Improvement.
• Stay current with trends, tools, and best practices in data loading and management.
• Contribute ideas and improvements to enhance team processes and overall data operations.
• Support knowledge sharing within the team to build collective capability.
• What You'll Bring.
• Solid experience in data loading, data integration, or a related data management role.
• Hands-on experience with ETL tools such as Pentaho Data Integration (Kettle), SSIS, or similar platforms.
• Proficiency in SQL for data querying, validation, and manipulation.
• Experience setting up and managing SFTP connections or similar secure file transfer protocols.
• Familiarity with scripting languages such as Python or JavaScript for data automation is a plus.
• Advanced Excel skills; experience with Power Query or similar reporting tools is an advantage.
• Familiarity with Agile project management tools such as Jira or Confluence is a plus.
• Basic awareness of data privacy regulations - PDPA and/or GDPR - and how they apply to data handling practices.
• Familiarity with AI-powered data tools or automated data quality solutions is an advantage.
• Strong troubleshooting and analytical skills with the ability to resolve data issues independently.
• Good stakeholder management skills - comfortable working with both technical and non-technical teams.
• Customer-centric mindset with a focus on delivering accurate, timely data solutions.
• Strong organisational skills with the ability to manage multiple priorities effectively.
• Strong English proficiency - both written and verbal - is required for this role.
• Must have full rights to work in Thailand - visa sponsorship is not provided.
• What We Offer.
• Competitive salary and performance-based bonus.
• Provident fund contributions.
• Comprehensive health insurance coverage.
• Flexible working arrangements.
• Annual leave and public holidays in line with Thai employment standards.
• Learning and development opportunities to grow your technical career within Allianz Partners' global network.
• Exposure to international data operations and cross-functional technology projects.
• A collaborative, inclusive work environment at Soi Petchaburi 35, Ratchatewi, Bangkok.
• f you're excited but don't meet every single requirement, apply anyway - we value potential and learning agility. Only shortlisted candidates will be contacted.
• 98328 | Data & AI | Professional | Allianz Partners | Full-Time | Permanent.
• Allianz Partners is a world leader in B2B2C insurance and assistance, offering global solutions across automotive, travel, health, and home assistance. Present in over 75 countries, we combine the strength of the Allianz Group with a local, innovation-driven mindset. In Thailand, our technology and data teams are part of a growing hub supporting digital transformation across the APAC region and beyond. At Allianz Partners, we are committed to building an inclusive workplace where every team member can grow, contribute, and thrive.
• Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow.
• To Recruitment Agencies.
• We have an in-house recruitment team that focuses on sourcing great candidates directly. Therefore, we do not accept unsolicited resumes from agencies or search firm recruiters. When we do work with recruitment agencies, that engagement is formalized by a contract. Fees will only be paid when such a contract is in place. Without a contract, we will not accept invoices related to unsolicited resumes, even if the candidate is ultimately hired. Please do not contact hiring managers directly.

ทักษะ:

Architecture, Automation, TensorFlow, Power BI, Tableau

ประเภทงาน:

งานประจำ

• Data Architecture & Engineering: พัฒนาและดูแล Data Hub (Single Source of Truth) เพื่อรวบรวมและจัดการข้อมูลจากทุกแผนกให้เป็นระเบียบ พร้อมใช้งานสำหรับทุกหน่วยงาน.
• Predictive Modeling: พัฒนาและ Deploy โมเดล Predictive Churn & Sales เพื่อวิเคราะห์พฤติกรรมลูกค้า รักษาฐานลูกค้าสำคัญ และพยากรณ์ยอดขายในอนาคต.
• AI Solution Development: ปรับจูนและพัฒนาระบบ AI Chatbot เพื่อยกระดับประสบการณ์ลูกค้า เพิ่มความเร็วในการตอบกลับ และเพิ่ม Conversion Rate ของการขอเบอร์ลูกค้า.
• Ads & Campaign Analytics: พัฒนาระบบวิเคราะห์ประสิทธิภาพของแคมเปญโฆษณา (Ads Campaign) เพื่อช่วยทีมการตลาดตัดสินใจวางแผนสื่อได้อย่างแม่นยำและเพิ่ม ROI.
• Dashboarding & Reporting: ออกแบบและพัฒนาระบบ Dashboard ที่ใช้งานง่ายและมีประสิทธิภาพสูง เพื่อรองรับการทำงานของฝ่าย Sales, Marketing และ Warehouse ให้เห็นภาพรวมข้อมูลแบบ Real-time.
• Technical.
• Data Engineering Expertise: มีประสบการณ์เชี่ยวชาญในการออกแบบและพัฒนา ETL/ELT Pipelines ที่มีความซับซ้อน รวมถึงการบริหารจัดการข้อมูลด้วย SQL อย่างคล่องแคล่ว.
• Infrastructure & Tooling: มีประสบการณ์จริงในการใช้งาน Cloud Data Warehouse และสามารถบริหารจัดการฐานข้อมูลประสิทธิภาพสูงด้วย ClickHouse เพื่อรองรับการประมวลผลข้อมูลปริมาณมาก.
• Workflow Orchestration: มีความเชี่ยวชาญในการใช้ Apache Airflow เพื่อออกแบบระบบ Automation และควบคุม Workflow ของข้อมูลให้เป็นระบบ เพิ่ม Operational Agility ให้กับทีม.
• Data Architecture: มีความเข้าใจในการวางสถาปัตยกรรมข้อมูล เพื่อรองรับโครงการ Data Hub (Single Source of Truth) และการปรับปรุง IT Infrastructure ใหม่ตามเป้าหมายขององค์กร.
• Strategic Capability: สามารถประยุกต์ใช้ทักษะทางเทคนิคเพื่อขับเคลื่อนโครงการสำคัญ เช่น การสร้าง Predictive Churn & Sales Model, ระบบวิเคราะห์ Ads, และการทำ AI Integration.
• ปริญญาตรีหรือโท สาขาวิศวกรรมคอมพิวเตอร์, วิทยาการข้อมูล (Data Science), สถิติ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ในการทำ Data Engineering (ETL Pipelines, SQL, Cloud Data Warehouse,Clickhouse, AirFlow).
• มีความเชี่ยวชาญในการพัฒนาและประยุกต์ใช้โมเดล Machine Learning (Python, Scikit-learn, TensorFlow/PyTorch).
• มีประสบการณ์ในการสร้าง Dashboard (เช่น Power BI, Tableau, หรือเครื่องมือ BI อื่นๆ).
• มีความเข้าใจในการทำงานร่วมกับทีมธุรกิจ (Business Stakeholders) และสามารถสื่อสารข้อมูลที่ซับซ้อนให้เข้าใจง่าย.
• Bonus Skills: ประสบการณ์ด้าน LLM (Large Language Models) หรือระบบ Chatbot และความรู้ด้านการทำ Web Scraping หรือ API Integration.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Cloud Computing

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable ETL / ELT pipelines.
• Build and optimize data workflows on Databricks and Azure Cloud.
• Develop high-performance SQL transformations and data models.
• Work with large-scale structured and semi-structured datasets.
• Improve data quality, reliability, and pipeline performance.
• Support migration and modernization of enterprise data platforms.
• Collaborate with stakeholders to understand business and technical requirements.
• Troubleshoot production issues and optimize existing data processes.
• Participate in architecture and technical solution discussions.
• Mentor junior engineers and share best practices with the team.
• At least 5 years of experience in Data Engineering or related roles.
• Strong expertise in SQL and ETL development.
• Hands-on experience with Azure Cloud and Databricks.
• Experience working with enterprise-scale data platforms.
• Strong understanding of Data Warehouse and Data Lake concepts.
• Experience with PySpark / Spark is highly preferred.
• Familiarity with cloud-based data architecture and optimization.
• Experience in performance tuning and troubleshooting ETL jobs.
• Understanding of CI/CD and version control (Git).
• Good problem-solving and analytical skills.
• Able to work independently and communicate effectively with teams.

ทักษะ:

Microsoft SQL Server, Recruitment, Automation, Power BI, SSIS

ประเภทงาน:

งานประจำ

• Data Integration & ETL Development Design & Deploy: Build, develop, and deploy robust SSIS packages for complex data integration workflows. Pipeline Management: Construct and maintain end-to-end ETL pipelines handling data extraction from multiple sources (ERP, CRM, flat files, APIs), applying transformation logic aligned with business rules, and loading data into data warehouse/data platform layers. Performance Optimization: Optimize SSIS packages for maximum performance (parallelization, indexing awareness), maintainability (modular design), and comprehensive error handling and l ...
• Data Transformation & Modeling Implement critical data transformation logic, including data cleansing, standardization, enrichment, and business rules application. Support data transformation initiatives aligned strictly to data models (fact and dimension structures). Partner closely with the Data and Business Analyst teams to ensure delivered data is optimally structured for analytics consumption.
• Data Jobs Scheduling & Automation Configure and manage SQL Server Agent jobs alongside ETL scheduling and orchestration tools. Automate data processes to guarantee timely execution of pipelines with minimal manual intervention. Support complex dependency handling between sequential data workflows.
• Education & Experience.
• Bachelor's degree in Information Technology, Computer Science, or an equivalent field. Certifications (Preferred/Required): Microsoft SQL Certification Microsoft Data Platforms (Power BI and Fabric) ITIL Certification Microsoft O365 Platform 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:

2 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Data Warehousing, Microsoft Azure, Architecture, Automation

ประเภทงาน:

งานประจำ

• Design, develop, implement, and maintain enterprise data integration solutions, data pipelines, and data platform services.
• Manage and support Microsoft Azure data platform components, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and related services.
• Support the adoption, implementation, and continuous improvement of Microsoft Fabric technologies and modern data platform architectures.
• Develop and maintain ETL / ELT processes to ensure reliable movement and availability of business data across enterprise systems.
• Monitor platform performance, availability, capacity, and operational health to ensure service reliability.
• Data Quality and Reliability.
• Establish and maintain data quality controls, validation processes, and reconciliation procedures.
• Investigate, troubleshoot, and resolve data platform incidents, data inconsistencies, and integration failures.
• Monitor and improve data timeliness, accuracy, completeness, and reliability.
• Support business users in identifying, analyzing, and resolving data-related issues.
• Data Governance and Security.
• Maintain data lineage, metadata, data catalogues, and technical documentation for enterprise data assets.
• Support implementation of data governance standards, policies, and best practices.
• Ensure compliance with information security, privacy, and regulatory requirements, including PDPA.
• Implement and maintain appropriate data protection controls, including encryption, access management, data masking, and row-level security.
• Participate in audit, compliance, risk assessment, and remediation activities related to the data platform.
• Business and Vendor Collaboration.
• Collaborate with business units to gather requirements and translate business needs into scalable data solutions.
• Support reporting, analytics, automation, and business intelligence initiatives across the organization.
• Coordinate with external vendors, consultants, and system owners during integrations, upgrades, and project implementations.
• Provide technical guidance and recommendations on data architecture, platform enhancements, and emerging technologies.
• Documentation and Continuous Improvement.
• Develop and maintain technical documentation, architecture diagrams, operational procedures, and support materials.
• Maintain version-controlled repositories and ensure proper documentation of platform configurations and changes.
• Identify opportunities to improve platform performance, scalability, security, reliability, and cost efficiency.
• Continuously develop knowledge and skills related to Microsoft data platform technologies and industry best practices.
• Perform other.
• as assigned by management.
• Bachelor's degree or higher in Computer Science, Information Technology, Data Engineering, Computer Engineering, Statistics, or a related field.
• Minimum 2 years of experience in Data Engineering, Data Warehousing, Analytics Engineering, Business Intelligence, or a related technology discipline.
• Experience designing, implementing, and supporting enterprise data platforms and data integration solutions.
• Strong proficiency in SQL and relational database technologies, including data modelling and data warehouse concepts.
• Hands-on experience with Microsoft Azure data services, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
• Experience developing and maintaining ETL / ELT pipelines for operational reporting, analytics, and business intelligence solutions.
• Understanding of data governance, data lineage, metadata management, and data quality management practices.
• Knowledge of data security principles, including access control, encryption, data masking, and privacy regulations such as PDPA.
• Experience working with Git or other version control platforms for development and configuration management.
• Experience working with business stakeholders to gather requirements and translate them into technical solutions.
• Ability to investigate and resolve complex data platform issues, data quality concerns, and integration failures.
• Strong communication, documentation, analytical thinking, and stakeholder management skills.
• Experience coordinating with external vendors, system integrators, and technology partners is preferred.
• Experience with Microsoft Fabric, Microsoft Purview, hospitality systems, or multi-site operations environments is an advantage.
• Possesses a service-oriented mindset, demonstrates initiative, and continuously seeks opportunities to improve platform reliability, performance, security, and data quality.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Automation, Apache, Python, ETL

ประเภทงาน:

งานประจำ

• Data Pipeline Operations.
• Monitor scheduled and event-driven ETL/ELT pipelines across Azure Data Factory, Databricks, Airflow, and related platforms.
• Investigate failed jobs, delayed data, missing records, schema changes, and dependency issues.
• Rerun or recover pipelines using approved operational procedures and confirm successful completion.
• Support production releases, cutovers, and post-deployment monitoring.
• Incident and Problem Management.
• Respond to data-service incidents and operational requests within agreed service levels.
• Perform root-cause analysis and document the issue, impact, resolution, and preventive action.
• Create, update, and follow operational tickets through closure.
• Coordinate with source-system owners, data engineers, infrastructure teams, and report owners when cross-team support is required.
• Data Quality and Reliability.
• Validate data completeness, accuracy, freshness, and reconciliation results.
• Maintain monitoring, alerting, and operational checks for critical pipelines and datasets.
• Identify recurring failure patterns and recommend permanent fixes or automation.
• Escalate material data risks with clear impact and status communication.
• Stakeholder and Service Support.
• Support users of reports, dashboards, and downstream data products.
• Provide concise updates on incidents, blockers, ownership, and expected next actions.
• Participate in daily operational reviews and handovers.
• Maintain runbooks, troubleshooting guides, support knowledge, and service documentation.
• Continuous Improvement.
• Automate repetitive operational tasks and recovery steps where appropriate.
• Contribute to observability, cost, performance, and reliability improvements.
• Support standardization of deployment, support, and data-quality practices.
• Share lessons learned and help improve team operational readiness.
• Required.
• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline, or equivalent practical experience.
• 2-5 years of experience in data engineering, data operations, application support, or production support.
• Hands-on experience supporting production data pipelines or data platforms.
• Strong SQL skills and working knowledge of Python or another scripting language.
• Experience with one or more orchestration or processing technologies such as Azure Data Factory, Databricks, Apache Spark, or Airflow.
• Understanding of data warehousing, ETL/ELT, file and database integration, job dependencies, and data-quality controls.
• Ability to troubleshoot methodically, communicate clearly, and work across technical and business teams.
• Preferred.
• Experience with Azure or AWS data services.
• Experience with Linux, shell scripting, Git, and CI/CD practices.
• Familiarity with monitoring platforms such as Azure Monitor, CloudWatch, Grafana, or equivalent tools.
• Experience with Jira or an IT service-management platform.
• Retail, e-commerce, finance, supply-chain, or enterprise analytics experience.
• Knowledge of access controls, secrets management, and secure production-support practices.
• Production ownership and service mindset.
• Structured troubleshooting and root-cause analysis.
• Attention to data quality and operational detail.
• Clear incident communication and stakeholder coordination.
• Prioritization under pressure.
• Continuous improvement and automation mindset.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Power BI, Cloud Computing, ETL, SQL

ประเภทงาน:

งานประจำ

• Design, develop, and maintain Power BI dashboards, reports, and data models.
• Collaborate with cross-functional teams to understand business requirements and deliver effective BI solutions.
• Partner with Data Engineers, Analysts, and Business Users to ensure data accuracy, performance, and usability.
• Support knowledge-sharing and mentor team members in best practices and new Power BI features.
• Optimize reports for usability and deliver insights in a clear, actionable way.
• Develop and maintain DAX queries, measures, and calculated fields.
• Ensure compliance with data governance, role-based security, and organizational standards.
• Participate actively in team discussions, Agile ceremonies, and problem-solving sessions.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field.
• 3+ years of experience in Power BI development and data visualization.
• Strong proficiency in DAX, Power Query (M), SQL.
• Experience with data modeling, ETL/ELT, and warehousing concepts.
• Familiarity with cloud platforms (Azure) preferred.
• Experience with CI/CD pipelines for BI solutions is a plus.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable and efficient data pipelines and ETL processes.
• Develop and implement data models, data warehouses, and data lakes.
• Build and maintain pipelines on Google Cloud Platform (GCP), including ingesting and converting files (e.g., CSV/JSON/Parquet) and loading them into BigQuery.
• Monitor and optimize the performance of our data infrastructure.
• Collaborate with cross-functional teams to identify and gather data requirements.
• Ensure data quality and integrity by implementing data validation and cleansing procedures.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay up-to-date with new technologies and best practices in data engineering.
• At least 3 years of hands-on experience in data engineering.
• Hands-on experience with GCP, particularly BigQuery, including building pipelines that convert/transform files and load them into BigQuery.
• Proven experience with ETL tools or frameworks (e.g., Airflow, dbt, Informatica, Talend).
• Solid understanding of data warehousing and lakehouse architecture.
• Proficient with SQL and one or more programming languages (e.g., Python, Scala).
• Experience working with cloud platforms, GCP preferred; AWS or Azure a plus (e.g., Redshift, Snowflake).
• Comfortable working independently and able to manage priorities in a contract role.
• Good command in English is preferred (reading, writing and speaking).

ทักษะ:

Architecture, Big Data, DevOps, Python, English

ประเภทงาน:

งานพาร์ทไทม์

• Participate in designing and implementing as well as maintaining data pipelines for digesting data from various marketplaces into Data Platform.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Leadership Skill, Big Data, Power BI, Tableau

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize data storage solutions, including data warehouses and data lakes.
• Collaborate with data scientists and analysts to understand data requirements and provide efficient data access.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security and access control measures.
• Optimize query performance and data retrieval processes.
• Evaluate and integrate new data technologies and tools.
• Mentor junior data engineers and provide technical leadership.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 4-8 years of experience in data engineering or related roles.
• Strong programming skills in Python, Java, or Scala.
• Extensive experience with big data technologies such as Hadoop, Spark, and Hive.
• Proficiency in SQL and experience with both relational and NoSQL databases.
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Industry trends, Teamwork, Big Data, Kafka, Cloud Computing

ประเภทงาน:

งานประจำ

• Design, build, and maintain data pipelines and infrastructure to support data-driven initiatives.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver scalable solutions.
• Develop and maintain data models, data dictionaries, and data transformation processes.
• Monitor and troubleshoot data pipelines to ensure data quality and availability.
• Implement and maintain data security and privacy measures.
• Continuously evaluate and improve data systems to optimize performance and scalability.
• Keep up-to-date with industry trends and best practices in data engineering and apply them to our data systems.
• Mentor and train junior data engineers on data engineering best practices and technologies.
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in data engineering.
• Strong experience with Databricks and other big data technologies such as PySpark, and Kafka.
• Proficient in SQL and experience with data modeling and ETL processes.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of data security and privacy principles.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Proven ability to work in a fast-paced and dynamic environment.
• Why Join Us?.
• Opportunity to work with cutting-edge technologies and innovative solutions.
• Dynamic and collaborative work environment.
• Competitive salary and benefits package.
• Career growth and development opportunities.
• Work-life balance and flexible working hours.
• Fun and inclusive company culture.
• If you are passionate about data engineering and want to be a part of a dynamic team that is driving innovation in Thailand, then we want to hear from you. Apply now to join Gosoft(Thailand)Co.,Ltd. as a Data Engineer and take your career to the next level.

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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Data Warehousing, Kubernetes, Python, Linux, Cloud Computing

ประเภทงาน:

งานประจำ

• Participate in the implementation and deployment of SAS software and solutions.
• Configure, test and support data integration, ETL and data engineering processes.
• Develop and optimise SQL queries, data mappings and transformation logic.
• Support system installation, configuration and environment validation activities.
• Assist with data migration, integration and deployment activities across customer environments.
• Create clear technical documentation, test plans and implementation deliverables.
• Troubleshoot technical issues and support defect resolution throughout the project lifecycle.
• Collaborate with consultants, architects, project managers and customer stakeholders to deliver successful outcomes.
• Support knowledge transfer and transition-to-support activities following project implementation.
• Continue developing expertise in SAS technologies, cloud architectures and industry solutions.
• Bachelor's degree or equivalent practical experience in Computer Science, Information Systems, Engineering, Mathematics, Statistics or a related discipline.
• 0-2 years working experience in similar/relevant role.
• Experience working with data integration, ETL processes, software implementation or technical consulting projects.
• Experience writing SQL queries and working with relational databases.
• Understanding of data management, data warehousing or data engineering principles.
• Knowledge of Linux or Unix operating systems.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts effectively with technical and non-technical audiences.
• Ability to work collaboratively in a project-based consulting environment.
• Additional competencies, knowledge and skills.
• Experience with data engineering or enterprise data platforms.
• Exposure to cloud technologies, containers or Kubernetes.
• Experience with APIs and system integration.
• Knowledge of Python, Java or other programming languages.
• Experience supporting enterprise software implementations.
• Financial services or regulated-industry experience.
• You are welcome here.
• At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers.
• SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact [email protected].
• Let's stay in touch!.

ทักษะ:

Data Analysis, Architecture, Labor law, Teamwork, Big Data

ประเภทงาน:

งานประจำ

• Build and maintain data pipelines to collect, transform, and store data from robotic systems and sensors.
• Design data architecture to support real-time and historical data analysis.
• Implement ETL processes and ensure data quality, validation, and monitoring.
• Optimize database performance and manage large-scale data storage (structured and unstructured).
• Collaborate with AI, robotics, and software teams to align data workflows with operational needs.
• Maintain data documentation and ensure compliance with data privacy and security standards.
• Demonstrate a commitment to improve and comply with SSHE policy, environment regulations as well as labor law.
• Perform other related duties as assigned.
• Skills and Abilities.
• Excellent analytical and problem-solving skills.
• Understanding about metadata and data governance.
• Familiar with a variety of software patterns and principles.
• Understanding of big data architecture and streaming analytics.
• Has a good understanding of software engineering principles.
• Experience designing software applications running on multiple platform types.
• Experience in evaluating machine learning applications.
• Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.
• Competencies.
• I DREAM - Passion.
• I DREAM - Fun.
• I DARE - Innovate.
• I DARE - Drive Result.
• WE DO - Respect.
• WE DO - Teamwork.

ประสบการณ์:

6 ปีขึ้นไป

ทักษะ:

Architecture, Recruitment, Leadership Skill, Cloud Computing, ETL

ประเภทงาน:

งานประจำ

• Designing the target Lakehouse architecture and end-to-end data flows.
• Defining data models, canonical structures and reusable data-product patterns.
• Designing scalable and reusable batch, CDC and streaming ingestion patterns.
• Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access.
• Assessing and aligning the solution with existing enterprise and regional architecture standards.
• Supporting source-to-target mapping, data migration and integration design.
• Providing technical leadership and guidance to Data Engineering teams throughout implementation.
• Supporting solution design reviews, testing, production readiness and BAU handover.
• What We're Looking For.
• 6+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture.
• Experience designing enterprise data platforms and data products, particularly within financial services or Asset Management company, would be highly advantageous.
• Experience in end-to-end ownership of the data architecture and shape a modern, reusable data platform that can scale across multiple business use cases.
• Experience in Asset Management company, fintech, or other regulated industries.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Architecture, Recruitment, Python, Cloud Computing, ETL

ประเภทงาน:

งานประจำ

• Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems.
• Implementing Bronze, Silver and Gold data layers, including data cleansing, transformation and standardisation.
• Developing reusable data pipelines and supporting data product implementation.
• Implementing data quality, reconciliation, validation and monitoring controls.
• Supporting data migration, integration testing, UAT and production release.
• Working with the architecture team to ensure solutions follow agreed cloud, security, governance and engineering standards.
• Supporting knowledge transfer and BAU handover.
• What We're Looking For.
• 4+ years of experience in data engineering or related roles.
• Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling, data quality and CI/CD.
• Experience in financial services especially asset management or large-scale data transformation, would be advantageous.
• Experience in workong on an end-to-end enterprise data transformation, from source ingestion through to governed data products and business reporting.
• Experience in asset management company, fintech, or other regulated industries.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Recruitment, Apache, Python, English

ประเภทงาน:

งานประจำ

• Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
• Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows.
• Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture.
• Ensure data quality, reliability, and availability across all data products.
• Collaborate with Data Architects to implement data models and architecture standards.
• Support data governance, metadata management, and lineage tracking.
• Ensure pipelines comply with PDPA, data classification, and security requirements.
• Monitor pipeline performance and troubleshoot data issues in production environments.
• Work closely with Data Scientists and Analysts to deliver model-ready datasets.
• Participate in code reviews and promote engineering best practices.
• What We're Looking For.
• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and Python for data transformation and processing.
• Hands-on experience with Azure Data Services, Databricks, and Delta Lake.
• Experience building and maintaining ETL/ELT pipelines at scale.
• Familiarity with data modeling concepts and distributed data systems.
• Understanding of data governance, data quality, and security practices.
• Proficient in Thai and English at intermediate level or above, sufficient for technical discussions,.
• meetings, and written documentation.
• Experience in banking, fintech, or other regulated industries.
• Knowledge of streaming technologies such as Apache Kafka or Azure Event Hubs.
• Familiarity with CI/CD practices and infrastructure-as-code for data pipelines.
• Exposure to Unity Catalog, Azure Purview, or similar metadata management tools.
• Experience working in Agile/Scrum environments.
• Why Join CAPCO.
• Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help shape the future of digital transformation across FS & Energy.
• We offer.
• A work culture focused on innovation and creating lasting value for our clients and employees.
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings.
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients.
• An agile, diverse, entrepreneurial, inclusive, meritocratic culture.
• Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
• We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
• LI-PW1.

ทักษะ:

Python, Cloud Computing, SQL

ประเภทงาน:

งานประจำ

• Design, build, and maintain scalable data solutions that support reporting, self-service analytics, and advanced analytics.
• Work primarily on the organization's data platform, currently centered on Snowflake and IICS, to transform raw data into trusted, business-ready data assets.
• Partner closely with Data Analysts and source-system teams to translate business needs into data models, pipelines, and reusable data products.
• Use AI-assisted development practices across the full delivery lifecycle to improve design quality, development efficiency, testing, documentation, and technical communication.
• Apply modern data engineering practices while maintaining strong fundamentals in data modeling, ETL/ELT, orchestration, and data quality.
• Design, develop, and maintain data pipelines, transformations, and orchestration workflows that ingest, curate, and publish data for analytics use cases.
• Build and enhance data models based on business analysis and reporting requirements.
• Work with structured and semi-structured data from enterprise systems and files, including relational databases, JSON, and XML.
• Collaborate with Data Analysts, source-system developers, and business stakeholders to define requirements and deliver fit-for-purpose data solutions.
• Improve engineering productivity by using AI tools for code support, testing framework creation, documentation, diagramming, and solution exploration.
• Support data quality, performance optimization, maintainability, and operational reliability of data solutions.
• Enable business reporting, self-service analytics, and foundational data assets for advanced analytics and data science teams.
• Follow established organizational standards for governance, security, access control, and data handling.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

• Act as a partner and consultant to engineering managers and leaders: translate.
• stakeholder and engineering questions into measurable metrics/information such.
• as developer velocity, cost efficiency, and code quality, and keep those definitions.
• consistent across reports.
• Design, build, and maintain ETL/ELT transformations, including Spark/Python.
• workflows and warehouse models, so data is accurate, timely, tested, and fit for.
• reporting. As a Senior, review others' pipeline and metric work, raise delivery.
• standards, and unblock the team.
• Analyze large datasets with SQL and Python to support engineering and operational.
• decisions.
• Design and maintain dashboards and visual reports so engineering managers and.
• leaders can explore metrics (for example developer velocity, cost efficiency, and.
• code quality) without a ticket for every chart.
• Improve data reliability through validation, quality checks, observability, production.
• troubleshooting, and query performance tuning. Own published metrics: explain.
• filters and grain, flag numbers that should not be trusted, and recommend next.
• steps.
• Use AI tools (for example Cursor, Claude, or similar) to accelerate SQL.
• development, testing, refactoring, analysis, pipeline work, and documentation, and.
• reject unsafe or unverified output before it reaches production or stakeholders.
• WHAT YOU'LL NEED TO SUCCEED.
• 5+ years in business intelligence, analytics, and/or data engineering, with.
• experience in both stakeholder consulting and hands-on pipeline or data-product.
• work.
• Advanced SQL (joins, window functions, and performance on large datasets).
• Strong Python skills (or similar) for building data pipelines.
• Experience with ETL/ELT and orchestration (for example Kubeflow or similar).
• Strong analytical thinking: comfortable framing business questions, exploring data,.
• and turning results into clear insights.
• Experience building dashboards or visual reports for stakeholders.
• Ability to switch context between stakeholder discussions and hands-on technical.
• work - metrics definition/analysis one day, ETL or data modeling the next.
• Practical AI-assisted development: generate, review, test, and own the result. You.
• can explain what you trusted AI to draft and what you verified yourself.
• Clear written and verbal English, and the ability to work independently with.
• engineers and leaders in an agile environment.
• IT'S GREAT IF YOU HAVE.
• Experience with software-delivery practices such as Agile/Scrum and CI/CD.
• (GitHub Actions, GitLab CI, or similar).
• Interest in developer productivity or engineering analytics.
• Experience with common data platforms / big data technology (e.g., BigQuery,.
• Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
• Hands-on experience with visualization or data-serving UIs such as Apache.
• Superset, Tableau, or a lightweight web app.
• Experience building APIs or internal data products beyond dashboards, not only ad-.
• hoc analysis.
• A degree in Computer Science, Engineering, Information Systems, or equivalent.
• practical experience.
• 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.