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Skills:

Budgeting, Compliance, Project Management

Job type:

Full-time

• Manage daily operations of the data center, ensuring all systems function smoothly and meet quality standards.
• Develop and implement operational procedures that enhance efficiency and align with business objectives.
• Establish key performance indicators (KPIs) for operational activities and conduct regular assessments to ensure targets are met.
• Oversee resource allocation, including staffing, budgeting, and equipment management, to maximize operational effectiveness.
• Monitor financial performance, analyze cost structures, and recommend solutions to improve profitability.
• Ensure adherence to industry regulations and internal policies regarding data security and operational compliance.
• Develop and maintain disaster recovery plans to ensure business continuity in case of disruptions.
• Work with IT teams to manage infrastructure, including servers, storage systems, and networking equipment, ensuring optimal performance and security.
• Prepare regular reports for senior management detailing operational performance, challenges, and opportunities for improvement.
• Bachelor's degree in Business Management, Operations Management, or a related field; a Master's degree is preferred.
• Proven experience in operations management or a similar role within the data center or technology sector.
• Strong analytical skills with the ability to interpret financial data and operational metrics.
• Excellent leadership and communication abilities to effectively collaborate with diverse teams.
• Proficiency in project management tools and operational software.
• Knowledge of data center operations, including infrastructure management, cooling systems, power management, and security protocols.
• Detail-oriented with strong problem-solving skills.
• Ability to work under pressure and manage multiple priorities effectively.
• Strong commitment to continuous improvement and operational excellence.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal - Oriented, Unity, Learning, Flexible.

Job type:

Full-time

คุณกำลังมองหาโอกาสที่จะเติบโตและก้าวหน้าในอาชีพการงานอยู่ใช่ไหม ไม่ต้องมองหาที่ไหนไกลไปกว่า Rabbit Holdings! เราเชื่อในวัฒนธรรมแห่งการเติบโตและการพัฒนาอย่างไม่สิ้นสุด เราลงทุนในการเติบโตทางวิชาชีพของทีมงานผ่านกระบวนการสรรหาที่โปร่งใสและยุติธรรม เพื่อให้แน่ใจว่าเราจะคัดเลือกเฉพาะผู้สมัครที่มีคุณสมบัติเหมาะสมที่สุดสำหรับแต่ละบทบาทเท่านั้น เรามุ่งเน้นการพัฒนาพนักงานของเราไม่ได้หยุดลงเมื่อได้ร่วมงานกัน เราให้ความสำคัญกับโอกาสการฝึกอบรมเพื่อช่วยให้ทีมงานพัฒนาทักษะอย่างต่อเนื่องและก้าวหน้าในอาชีพการงาน ที่ Rabbit Holdings ค่าตอบแทนที่เป็นธรรมคือเป็นปัจจัยสำคัญในการรักษาพนักงานและสร้างควา ...

Experience:

3 years required

Skills:

Risk Management, English, Thai

Job type:

Full-time

• Monitor and ensure compliance with data protection laws and regulations, including the Personal Data Protection Act (PDPA) and other applicable privacy legislation.
• Develop, implement and maintain comprehensive data protection policies, procedures and guidelines across the organisation.
• Conduct data protection impact assessments (DPIAs) and privacy risk evaluations for new projects, systems and business initiatives.
• Manage data subject requests, including access requests, rectification, erasure and portability rights, ensuring timely and compliant responses.
• Provide data protection training and awareness programmes to employees at all levels to foster a privacy-conscious culture.
• Investigate data protection incidents and breaches, coordinating remedial actions and managing regulatory notifications where required.
• Act as the primary point of contact and liaison with regulatory authorities, data protection supervisors and external stakeholders on data protection matters.
• Audit and review data processing activities, vendor contracts and third-party arrangements to ensure appropriate safeguards are in place.
• Maintain comprehensive documentation of processing activities, consent records and compliance measures.
• Advise senior management and operational teams on data protection obligations, risks and best practices.
• What we're looking for.
• Professional qualification or certification in data protection or privacy law, such as Certified Data Protection Officer (CDPO) or equivalent qualification.
• Minimum of 5 years' experience working in a data protection, privacy or compliance role, preferably within an in-house legal or compliance function.
• Thorough knowledge of data protection legislation, including the Personal Data Protection Act (PDPA), GDPR principles and other regional privacy frameworks.
• Strong understanding of data governance, information security and risk management principles.
• Excellent knowledge of data protection best practices, privacy by design and privacy impact assessments.
• Proven ability to communicate complex data protection concepts clearly to both technical and non-technical stakeholders.
• Strong organisational skills with the ability to manage multiple priorities and competing demands.
• Excellent attention to detail, analytical mindset and ability to work independently whilst collaborating with cross-functional teams.
• Demonstrated experience in conducting investigations, managing incidents and resolving data protection complaints.
• Proficiency in English and Thai languages, both written and verbal.
• Experience within the manufacturing or glass container industry would be advantageous.

Skills:

Architecture

Job type:

Full-time

• Officer, Data Management is required to develop digital signature, content and data management standard, guideline, and practices as well as requirement for data collection, delivery, and use of data together with associated systems to serve company strategy and external trends. The job holder also needs to identify for key content and data required to run projects as well as manage and update overall data catalog for key business.
• Key Accountabilities.
• Develop standards, practices, and requirement for digital signature, content and data management as well as ensure consistent compliance of all implementations.
• Develop existing and future requirement for use of digital signature, content and data management system to meet data need to serve company strategy and external trends.
• Develop a strategic and tactical plan in alignment with current and future business requirement on data management.
• Identify the key data required to run the projects as well as define key issues and recommendations to solve the problems.
• Facilitate data council to provide guidelines and recommendation on business requirements, practice, and compliance.
• Communicate standards and practices regarding data management to relevant stakeholders, and monitor all implementation to ensure efficiency.
• Define, manage, and update overall data catalog as well as collate data definition, sources, and owners for key data required for the business.
• Provide information to business users as required.
• Professional Knowledge & Experiences.
• Bachelor's Degree in computer science, statistics, or operations research or related technical discipline.
• 10 years or more experience in Data Governance.
• Experience in working with digital signature, content and data management related to data architecture, integration, classification, strategy, quality management, security and privacy standards.
• Understand industry processes and uses of data throughout the lifecycle in the functions/data domains.
• Knowledge of industry and ability to translate business needs into data.
• Additional Desirable Qualification.
• CORE Competencies.

Skills:

SQL, Power BI, Python

Job type:

Full-time

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

Skills:

Analytical Thinking, Product Development, Architecture, Recruitment, Javascript

Job type:

Full-time

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

Experience:

7 years required

Skills:

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

Job type:

Full-time

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Engineering department oversees all Agoda's ML and software related requirements. Our goal is to enable and increase Agoda's business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.
• Why Agoda Engineering Team?.
• Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.
• Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes.
• Able to analyze data to help us make better decisions.
• Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production.
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks.
• We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace.
• Bachelor's degree in computer science/information systems/engineering/related field.
• 6+ years of experience in software engineering with at least 4+ years in data/ml engineering.
• Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality.
• Expert in SQL, Python3, and JVM based programming language - ie, Java or Scala.
• Expert in software design/design patterns/best practices, functional programming and object-oriented programming.
• Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc.
• Familiar with general Machine Learning concepts and common models - ie, regularization, Tree Models, etc.
• Familiar with statistical analysis concepts - ie, p-value, z-score, etc.
• Analytical problem-solving capabilities & experience.
• A strong data-driven engineering driven mindset will be required to succeed in this role.
• Good understanding of Hadoop ecosystems and Big Data architecture and technologies.
• Experience with Scala/Scala Spark development.
• Working in an agile environment using test driven methodologies.
• Systems administration skills in Linux.
• Hybrid Working Model.
• WFH Set Up Allowance.
• 30 Days of Remote Working from anywhere globally every year.
• Employee discount for accommodation globally.
• Global team of 90+ nationalities.
• 40+ offices and 25+ countries.
• Annual CSR / Volunteer Time off.
• Benevity Subscription for employee donations.
• Volunteering opportunities globally.
• Free Headspace subscription.
• Free Odilo & Udemy subscriptions.
• Access to Employee Assistance Program (third party for personal and workplace support).
• Enhanced Parental Leave.
• Life, TPD & Accident Insurance.
• telaviv.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

7 years required

Skills:

Recruitment, Big Data, YouTube, Python, Hadoop, Scala, SQL

Job type:

Full-time

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. 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 Data team plays at Agoda is critical as business users, product managers, engineers, 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 Data department, but also the reward.
• The Opportunity.
• We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
• As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
• In This Role, You'll Get to.
• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

7 years required

Skills:

MongoDB, Python, Hadoop, Apache, MySQL, Thai

Job type:

Full-time

• 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).

Experience:

7 years required

Skills:

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

Job type:

Full-time

• Design, build, and operate backend services and data pipelines that support performance marketing use cases, including hotel feeds, ad platform integrations, and experiment data.
• Contribute to technical design discussions and drive implementation of production systems running at scale.
• Take part in the full development lifecycle: design, implementation, testing, deployment, and production support.
• Proactively identify and improve system reliability, scalability, data quality, and operational efficiency.
• 5 Write clear, maintainable code and actively participate in code reviews and technical discussions.
• Collaborate with Product, Marketing, and other Engineering teams to clarify requirements and deliver effective solutions.
• Support and improve the team's engineering standards, including CI/CD, monitoring, and documentation.
• Make technical trade-offs across performance, quality, and cost.
• Participate in hiring, onboarding, and knowledge sharing, in line with your experience and interests.
• What You'll need to Succeed.
• Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience) 8+ years of experience, with a focus on backend and/or data engineering.
• Strong proficiency in Scala (preferred) or another JVM language (e.g. Java, Kotlin).
• Strong proficiency in SQL.
• Experience building and operating data processing and pipeline systems, e.g. Spark, Kafka, workflow orchestration tools.
• Experience with messaging and asynchronous systems (e.g. RabbitMQ, Kafka).
• Demonstrated track record of driving architectural decisions and improving team-level engineering metrics and system reliability.
• Ability to lead incident response: identify root cause, drive resolution, and communicate clearly.
• Experience working in Agile, cross-functional teams.
• Strong English communication skills, written and verbal.
• An engineering-driven mindset with strong analytical, problem-solving, and systems-thinking abilities.
• Experience mentoring and coaching engineers, with a genuine interest in helping others grow.
• It's great if you have.
• Deep experience with Spark-based distributed data pipelines, including performance tuning and query plan optimization.
• Experience integrating with external APIs or third-party platforms at scale (e.g. Google Ads, Meta), with familiarity in advertising, marketing, or experimentation systems.
• Experience identifying, monitoring, and addressing data quality risks in production, supported by observability and monitoring tooling (e.g. Grafana, Prometheus).
• Experience with CI/CD pipelines and modern DevOps practices.
• A track record of cross-team technical influence creating reusable patterns or frameworks, and shaping engineering standards beyond your immediate team.
• telaviv.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Experience:

3 years required

Skills:

Quality Assurance, Assurance

Job type:

Full-time

• Assist the regional Quality & Commissioning ("QCx") Program Manager and Data Center Services ("DCS") in the process for contracting a CxA at the appropriate point in the project timeline.
• Identifying potential CxAs and participating in the review and selection process. Participate in interviews of the CxA by the site teams.
• Shortlisting CxAs from Request For Proposal ("RFP") responses by reviewing candidate resumes and participating in project interviews.
• Developing CxA RFP package including providing access to design documents.
• Assist the Strategic Sourcing Team with coordination of the CxA RFP process.
• Participate in the evaluation process to make a CxA selection recommendation to DCS.
• Assist the QCx Program Manager, DCS & Project Controls Group ("PCG") with preparation of a Proposal Scope of Works for issuance of Purchase Orders ("POs").
• Project Kickoff and CxA Onboarding.
• Attend project and CxA kick-off meetings.
• Assist the CxA in setting up for the project. Provide access to documents including checklist templates and program level design documentation.
• Working with DCS, ensure CxA obtains necessary equipment, access to software and online platforms, and physical access into campus.
• Ensure that project level QCx folder structure is properly set up on Shared Drive.
• Provide support and guidance for the CxA throughout the lifecycle of the projects in the region.
• Site Visits.
• The Project Engagement Lead ("PEL") will work hybrid from home and the CHN campus and will be expected to visit the greenfield sites on this campus as necessary.
• The client may request the PEL to visit the other sites in the region based on team and project requirements.
• Reporting.
• Ensure and review weekly reports submitted by the CxA in BIM360.
• Provide project (red) status every month to the DCS team. These reports help keep the DCS team aware of the L2-3 tag completion status and the number of P0 & P1 issues that are currently open, along with our recommendations for getting back on track (green status).
• Provide feedback on planned and actual completion dates for Commissioning (Cx) L1-4 tags. Identify opportunities for improvement or getting back on track for slipped dates.
• Review and track actual CxA costs vs. contracted CxA costs for projects in the region.
• Update program level dashboards/tracking sheets with key project info, data, & links.
• Provide updates to project level meetings such as construction Owner, Architect, Contractor (OAC), Commissioning, Lessons Learned, and other coordination meetings.
• Ensure QCx data for regional projects are accurate for data to be pulled into DCStat monthly reports.
• Schedule.
• Review Project Cx Schedule by the CxA and ensure it aligns with key commissioning milestones and planned tag completion dates.
• Verify the complete list of required L1-3 tags has been provided by the CxA.
• Verify the complete list of required L4 tests (with required predecessors) has been provided by the CxA.
• Verify resource requirements (personnel, equipment e.g. load banks) for L4-5 has been provisioned.
• Ensure Project Cx schedule provided by the CxA aligns with the project schedule.
• Validate that the General Contractor (GC) has produced a reasonable and logical baseline Cx schedule in P6.
• Ensure the P6 schedule is being updated during L2-5 Cx based on progress on site.
• Attend regular schedule alignment and update meetings.
• Track slip bugs on the project and their impact to the Cx Schedule. Update regional and global trackers in accordance with the impact of slip. Ensure project level trackers are being updated in accordance with slips.
• Track the status of the projects in the region to ensure key Cx milestones are achieved in accordance with the timeline of the project.
• Construction and Commissioning.
• Act as a point of escalation for project level issues, risks, and potential delays.
• Escalate issues that can potentially affect Facility Ready (FR) to project DCS team or regional QCx program manager.
• Assist DCS in the FR Checklist process to verify key deliverables on the project and achieve acceptance by stakeholders.
• Participate in the review and page-turns of project specific L1-5 tag checklists and scripts as necessary.
• Participate or conduct site walks as necessary to observe progress on site.
• Participate in quality inspections, Cx L2-L5 inspections or First-of-a-Kind witnessing of equipment testing as required to ensure conformance to procedures.
• Cx Change Orders.
• Assist DCS in the evaluation of Cx change orders by reviewing Cx change order proposals and participating in meetings to align on final change order scope, hours and budget.
• Supporting the End to End (E2E) Quality Team.
• Provide feedback to program level tag checklist templates and specifications.
• Participate in project level Lessons Learned process, participate in regular Lessons Learned meetings and post-mortem sessions as required.
• Participate as required to introduce improvements to the QCx process such as researching/piloting new tools, initiatives, processes, techniques, etc.
• BIM360 and Software Tools.
• Autodesk BIM360 Field Management is an online platform used for logging, tracking and resolution of Construction Quality and Commissioning issues, and for completion of Cx L1-5 tag checklists.
• Act as an administrator in BIM360 Field Management and the first point of reference for all BIM360 related questions and clarifications at the project level.
• Verifying proper training & documentation on the tool has been received by stakeholders on the project including DCS, DC Operations, CxA, GC/CM, subcontractor and vendor teams.
• Ensure the tool is being used by all stakeholders to log issues in accordance with the established process, and are being resolved within the stipulated SLO (service level objectives).
• Validate all required tagging checklists are properly loaded into the tool and are being completed accurately and completely.
• On-site -Bangkok, THA.
• If this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!.
• At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
• _JLL Privacy Notice_.
• Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
• For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
• For additional details please see our career site pages for each country.
• Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Experience:

4 years required

Skills:

Work Well Under Pressure, Data Warehousing, Kubernetes, Energetic, Power BI

Job type:

Full-time

• Innovate & Design: Co-develop and design groundbreaking innovations that solve real business challenges and create a lasting impact on the organization, with a strong focus on AI initiatives.
• Data & Infrastructure Management: Oversee and manage core data infrastructure, including ETL processes, Data Warehousing, Cloud Platforms, and SQL.
• Adapt & Evolve: Bring an initiative-driven mindset that breaks free from conventional frameworks to keep pace with the fast-shifting technological landscape.
• A proactive mindset with a strong passion for exploring and implementing new technologies.
• An out-of-the-box thinker who is adaptable, agile, and ready to embrace rapid technological changes.
• Bachelor's in computer science, Data Engineering, or related fields.
• Minimum 4 years of experience in data engineering, machine learning, or AI-related development.
• Experience with Strong proficiency in Python, SQL, and data pipeline tools (e.g., Airflow, Spark, Databricks).
• Experience with cloud platforms (Azure, AWS, or GCP) and MLOps frameworks.
• Experience with MLOps tools, Docker, Kubernetes, and CI/CD workflows.
• Hands-on experience with Generative AI (OpenAI, LangChain, Llama, etc.) is a strong advantage.
• Understanding of Business analyst and technical requirements Microsoft Power BI.
• Passion for continuous learning in AI.
• Adaptability and willingness to learn new technologies and tools.
• Good attitude and curious mindset and willingness to learn.
• Can work under service mind and work well under pressure.
• Driven, Energetic, Analytical, Forward-Thinking with good interpersonal skills.
• Strong communication skills, both verbal and written.
• Have strong problems solving skills.
• Ability to work under pressure of deadlines.
• Flexible working shift.
• Annual Bonus, Salary Adjustment (based on company profit and individual performance).
• Provident fund.
• Group Insurance, Dental, Health Check-up, Influenza Vaccine.
• Employee Assistant Program (Unlimited consult with Psychologist).
• Special car rental rate for staff.
• Company Party, Team dining, CSR, Company Trip, Free Snack & Drink.
• Privilege from company partners.
• Welcome Friends Campaign (Reward for employees who refer potential candidates to join the company).
• For more information: https://smauto.co.th/.

Skills:

Electronics, Automation

Job type:

Full-time

The company, founded in 1988, is one of the leading producers in the world for power and thermal management solutions. Delta is also a major regional player in several product segments including industrial automation, displays, and networking. As an energy-saving solutions provider with core competencies in power electronics and innovative research and development, Delta's business categories include Power Electronics, Automation, and Infrastructure.

Experience:

2 years required

Skills:

Microsoft SQL Server, Problem Solving, Automation, Leadership Skill, Teamwork

Job type:

Full-time

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

Skills:

Data Warehousing, Risk Management, Data Analysis, TensorFlow, Big Data

Job type:

Full-time

• Design, develop and deploy advanced machine learning and artificial intelligence models focused on financial risk analytics, credit risk assessment, market risk analysis and fraud detection.
• Lead the end-to-end data science lifecycle, from problem definition and data exploration through model validation, implementation and ongoing performance monitoring.
• Mentor and supervise junior data scientists and analytical staff, fostering a culture of excellence, continuous learning and collaborative problem-solving within the te ...
• Conduct comprehensive exploratory data analysis on large-scale financial datasets to identify patterns, anomalies and opportunities for predictive modelling.
• Develop robust statistical models and econometric frameworks to quantify and forecast financial risks across various asset classes and business segments.
• Create clear and compelling data visualisations and reports that translate complex analytical findings into actionable business recommendations for senior management and risk committees.
• Collaborate closely with risk management, compliance, trading and operations teams to understand business requirements and ensure analytical solutions align with strategic objectives.
• Establish and maintain rigorous model governance frameworks, including validation protocols, backtesting procedures and documentation standards to ensure regulatory compliance.
• Stay abreast of emerging trends, methodologies and technologies in financial AI, machine learning and risk analytics, and evaluate their applicability to our business.
• Optimise data pipelines and analytical infrastructure to enhance processing efficiency, scalability and data quality across analytical systems.
• What we're looking for.
• Master's degree or higher in Data Science, Machine Learning, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
• Minimum 7-10 years of professional experience in data science, machine learning engineering or advanced analytics, with at least 4-5 years specifically focused on financial services, risk analytics or quantitative finance.
• Demonstrated expertise in building and deploying machine learning models in production environments, with proficiency in supervised learning, unsupervised learning, ensemble methods and deep learning techniques.
• Strong proficiency in programming languages such as Python, R or Scala, with experience in relevant libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Solid understanding of financial concepts including credit risk, market risk, operational risk, counterparty risk, regulatory capital requirements and risk measurement methodologies.
• Experience with big data technologies and distributed computing frameworks such as Apache Spark, Hadoop or cloud-based analytics platforms (AWS, GCP, Azure).
• Proven track record of leading analytical projects, mentoring junior staff and driving cross-functional collaboration in a complex organisational environment.
• Strong statistical knowledge including hypothesis testing, causal inference, time series analysis and experimental design.
• Experience with financial data sources, APIs and market data platforms; familiarity with data warehousing and ETL processes is advantageous.
• Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Knowledge of financial regulations such as Basel III, IFRS 9, Dodd-Frank or equivalent regional frameworks is highly desirable.
• Certification in machine learning, data science or related disciplines is a plus.

Skills:

Good Communication Skills, Project Management, System Security

Job type:

Full-time

Make an impact at NTT Global Data Centers Join NTT Global Data Centers and be part of a team that drives innovation and sustainability in the digital world. With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative, innovative, and inclusive workplace where your ideas are valued, and your growth is supported. Your role at a glance The Senior Associate IT Data Center Operations Analyst is a developing subject matter expert typically responsible for ...

Experience:

5 years required

Skills:

Architecture, Leadership Skill, Big Data, Python, English

Job type:

Full-time

• Architect and optimize high-throughput data pipelines and unstructured data processing frameworks to directly power the enterprise AI Foundation Platform.
• Co-own the vector infrastructure alongside the AI Engineer Specialist, ensuring optimized embedding storage, indexing strategies, and fast vector search retrieval.
• Build automated ETL/ELT pipelines capable of transforming raw enterprise data into AI-ready formats (chunking, metadata tagging, and cleaning).
• Data Governance, Metadata & Cataloging.
• Implement metadata pipelines for comprehensive data catalog and data dictionary services, including schema capture, lineage tracking, and audit logging.
• Enforce data governance, access controls, and privacy compliance across all data stores used for training, fine-tuning, and RAG retrieval.
• Design and maintain operational data lineage to ensure transparency and auditability of data flowing into production AI models.
• Advanced AI Component Integration.
• Develop and tune robust data ingestion pipelines for OCR, NLP processing, recommendation systems, and multi-modal AI inputs.
• Optimize data tiering and caching strategies to reduce latency and infrastructure costs for live enterprise AI workloads.
• Build secure, scalable data connectors linking legacy enterprise databases with modern LLM frameworks and autonomous agents.
• Collaboration & Data Excellence.
• Partner directly with the AI Engineer Specialist to ensure seamless data delivery for real-world, high-concurrency production deployments.
• Bridge traditional data engineering practices with modern MLOps, setting up automated data validation, quality checking, and drift detection at the data layer.
• Provide data-level expertise during architecture reviews, ensuring scalable data design patterns across the entire AI project lifecycle.
• Key Impacts.
• Ensure high-quality, AI-ready data ingestion at scale, dramatically reducing the time-to-market for enterprise AI assets.
• Establish a secure and compliant data foundation that guarantees enterprise data privacy during AI model interactions.
• Eliminate data bottlenecks in real-world production environments, ensuring sub-second latency for enterprise RAG and search systems.
• Transition traditional data warehouses and lakes into future-ready, graph- and vector-enabled AI data infrastructure.
• Master's or Bachelor's degree in Computer Engineering, Computer Science, Data Engineering, or a related technical field.
• 5+ years of experience in heavy-duty Data Engineering, Big Data, or Distributed Systems, with strong production experience in an AI/ML context.
• Proven track record of building large-scale data infrastructure supporting live, mission-critical applications.
• Technical & AI Data Framework Expertise.
• Deep experience in Python and SQL, alongside modern big data tools (e.g., Spark, Kafka, or cloud equivalents).
• Hands-on expertise in Vector Databases and unstructured data processing.
• Strong understanding of data chunking strategies, text extraction (OCR/NLP pipelines), and metadata orchestration.
• Familiarity with cloud data platforms (AWS/Azure/GCP) including managed data lakes, data warehouses, and cloud-native security/encryption.
• Real-world experience implementing data catalogs, schema evolution, and automated data quality monitoring.
• Leadership & Soft Skills.
• Excellent technical communication skills to align data pipeline designs with AI model engineering requirements.
• Strong analytical and problem-solving mindset, comfortable handling noisy, unstructured enterprise data under tight deadlines.
• Good verbal and written English communication skills for vendor engagement and cross-functional team collaboration.

Skills:

SAP, ERP

Job type:

Full-time

• Bangkok, Bangkok, Thailand.
• สมัครงาน.
• หรือแนะนำผู้อื่น.
• ตำแหน่งที่เปิดรับ.
• Master Data Management.
• รายละเอียดตำแหน่ง Master Data Management.
• รับผิดชอบดูแล สนับสนุน และพัฒนางานด้าน.
• Master Data และระบบ SAP.
• เพื่อให้ข้อมูลในระบบมีความถูกต้อง ครบถ้วน และสอดคล้องกับกระบวนการทางธุรกิจ รวมถึงสนับสนุนผู้ใช้งาน แก้ไขปัญหาระบบ บริหารโครงการที่เกี่ยวข้องกับการพัฒนาและปรับปรุงระบบ ตลอดจนประสานงานกับทีมที่เกี่ยวข้องเพื่อให้การดำเนินงานเป็นไปอย่างมีประสิทธิภาพ.
• ตอบสนองและแก้ไขปัญหาของผู้ใช้งานได้อย่างรวดเร็ว เพื่อให้มั่นใจว่าการทำงานของระบบและแอปพลิเคชันอื่น ๆ เป็นไปอย่างราบรื่น.
• ระบุปัญหาที่เกิดขึ้นในระบบ, รับผิดชอบในการแก้ไข, และผลักดันให้ปัญหาได้รับการแก้ไขจนสำเร็จลุล่วง.
• นำทีมริเริ่มและดำเนินโครงการปรับปรุงกระบวนการทำงานในขอบเขตที่รับผิดชอบอย่างต่อเนื่อง พร้อมเสนอและนำแนวทางการพัฒนาที่เหมาะสมมาใช้.
• ตั้งค่าระบบ SAP และจัดทำเอกสารข้อกำหนดทางเทคนิคสำหรับการพัฒนาโปรแกรมเพิ่มเติม (add-on program) ให้สอดคล้องกับแผนการออกแบบกระบวนการทางธุรกิจ.
• ดำเนินกิจกรรมต่าง ๆ ตามแผนโครงการหลักที่วางไว้ รวมถึงการทดสอบระบบในขั้นตอนต่าง ๆ (System Unit Testing, Add-on Program Testing, System Integration Testing) และจัดอบรมให้กับผู้ใช้งาน.
• จัดทำรายงานสถานะโครงการและรายงานความคืบหน้าอย่างสม่ำเสมอ พร้อมแจ้งปัญหาและความเสี่ยงที่อาจเกิดขึ้นอย่างทันท่วงที.
• ปริญญาตรีขึ้นไป สาขาเทคโนโลยีสารสนเทศ, วิทยาการคอมพิวเตอร์, วิศวกรรมคอมพิวเตอร์, บริหารธุรกิจ, ระบบสารสนเทศ หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน.
• Master Data Management, SAP Support, SAP Functional.
• หรือระบบ ERP ที่เกี่ยวข้อง.
• มีความเข้าใจด้าน.
• Business Process.
• และการเชื่อมโยงข้อมูลในระบบงาน.
• มีประสบการณ์ในการวิเคราะห์ความต้องการผู้ใช้งานและจัดทำเอกสาร Requirement / Specification.
• มีประสบการณ์ด้านการทดสอบระบบ UAT / SIT / Integration Test จะพิจารณาเป็นพิเศษ.
• หากมีประสบการณ์เกี่ยวกับ.
• SAP Configuration.
• หรือการดูแล Master Data Structure จะได้รับการพิจารณาเป็นพิเศษ.
• สมัครงาน.
• หรือแนะนำผู้อื่น.
• แชร์.
• Facebook.
• Line.
• LinkedIn.
• X (Formerly Twitter).
• Whatsapp.
• Email.

Experience:

5 years required

Skills:

Business Development, Risk Management, E-learning, Leadership Skill, Python

Job type:

Full-time

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

Skills:

Agile Development, Recruitment, YouTube, Python, Kafka, Scala, Java, SQL

Job type:

Full-time

• At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
• Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
• No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
• In Agoda's Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it's building new projects like Flights and Packages or reimagining our existing business, you'll make a big impact as part of the Back End Engineering team.
• The Opportunity.
• We are seeking a Principal Engineer to drive innovation across our AI-powered data experience and platform infrastructure.
• This role combines.
• leading the development of AI-powered data querying.
• enabling users to ask business questions in natural language and receive actionable insights .
• while shaping the evolution of our data quality tools, and analytical engines.
• such as StarRocks.
• As a senior technical leader, you will operate across AI, data infrastructure, and reliability domains, driving high-impact initiatives and serving as a key technical authority across the organization.
• This position is based in Bangkok, Thailand. (Relocation support is provided).
• Lead the development of.
• AI-powered data querying solutions., enabling users to ask business questions in natural language and receive actionable insights.
• Architect and develop scalable data quality tools.
• and frameworks to ensure reliable and trustworthy data.
• Act as a hands-on technical leader, tackling complex challenges.
• across AI query engines, data quality systems, and analytical engines.
• Collaborate with TPMs and stakeholders to define and.
• drive the technical vision and roadmap.
• for AI-driven querying, query engines, and data quality tools.
• Mentor engineers and raise standards.
• across data quality & governance tools, query engines, and the broader data platform.
• 10+ years.
• of experience in software engineering, data engineering, or related fields.
• SQL and large-scale data systems.
• Modern analytical databases / data warehouses.
• (e.g., StarRocks, Snowflake, BigQuery, ClickHouse).
• Backend development.
• (e.g., Python, Java, Scala or similar).
• AI/LLM-based applications.
• (e.g., text-to-SQL, conversational interfaces, cursor, copilots).
• Data platforms or.
• analytical infrastructure at scale.
• Strong understanding of.
• data modeling, query execution, and performance optimization.
• Proven ability to.
• lead cross-team, high-impact technical initiatives.
• Ability to navigate between.
• deep hands-on work and strategic technical leadership.
• Excellent communication skills with both technical and non-technical stakeholders.
• Experience with.
• text-to-SQL systems.
• or AI-driven data interfaces.
• Experience implementing or scaling.
• analytical engines.
• such as StarRocks.
• Background in.
• data observability, quality, or governance frameworks.
• Experience with tools like.
• dbt, Airflow, Spark, or similar.
• Bengaluru.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our.
• privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.