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Experience:

2 years required

Skills:

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

Job type:

Full-time

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• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
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• Functional Skills.
• Applied Software Engineering for Data.
• Data Architecture & Strategy.
• Data Integration.
• Data Management.
• Data Visualization.
• Data Modeling.
• Machine Learning.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Experience:

3 years required

Skills:

Architecture, Big Data, DevOps, Python, English

Job type:

Full-time

• A successful candidate will be working with our cloud-based Big Data Platform to digest marketplace data either structured or unstructured from different marketplaces in order to facilitate data utilization. The candidate will have to design and implement a strategic way to utilize all the data extracted from several marketplaces.
• The candidate will be also working closely with other application teams and product managers in order to align with other teams and business roadmap.
• Participate in designing and implementing as well as maintaining data pipelines for ...
• Demonstrate continuous improvement by inspecting and adopting new ideas for improving solutions, tools and processes.
• Work closely with members of IT (e.g. Architecture, DevOps and Business Analysts) to ensure the highest quality softwareCoach fellow associate data engineers.
• Capabilities.
• Bachelor Degree from Computer Engineering, Computer Science or related fields.
• Good knowledge of SQL, relational database design and efficient methods for working with large size of data.
• Good knowledge of Python.
• Understanding of fundamental design principles behind data-oriented application.
• Ability to understand business requirements and be able to express them in computer language.
• Ability to communicate in English, both written and oral form.

Experience:

2 years required

Skills:

Google Cloud Platform, Google Analytics, TensorFlow, Big Data, Tableau, Python, Hadoop, Kafka, Scala, Java, SQL, English

Job type:

Full-time

• Develop big data solutions for batch processing and near real-time streaming.
• Retrieve, prepare, and process a rich data variety of data sources.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Triage code problems and data-related issues.
• 3+ years of experience with relational database systems, with expertise in SQL.
• 3+ years of programming experience in Java, Python, Scala or similar.
• 3+ years of experience in coding in data management, data warehousing or unstructured data environments.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience building complex pipelines using automated workflow is a plus, e.g. Luigi, Airflow, Oozie or similar.
• Experience with parallel data processing is a plus, e.g. MapReduce, Hadoop, Spark or similar.
• Experience with streaming technologies is a plus, e.g. Kafka, AWS Kinesis or similar.
• Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, QlikView, PowerBI, Google Analytics or similar.
• Experience with Machine Learning is a plus, e.g. TensorFlow, NumPy, Scikit-Learn, Mahout or similar.
• Good communication in English.

Experience:

2 years required

Skills:

Problem Solving, Enthusiastic, Teamwork, SQL, English

Job type:

Full-time

• We're committed to bringing passion and customer focus to the business.*.
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!*.
• Lumentum is seeking a Senior Data Engineer to join our Data Science and Data Engineering team. In this role, you will design, build, and optimize scalable data platforms, pipelines, and analytics solutions that enable data-driven decision-making across the enterprise. You will work closely with business leaders, data scientists, analy ...
• This is an opportunity to play a key role in advancing Lumentum's enterprise analytics capabilities by developing modern data architectures, improving data quality and accessibility, and enabling AI and advanced analytics initiatives. You will collaborate across functions including Sales, Operations, Manufacturing, Supply Chain, and Finance to deliver impactful solutions in a fast-paced and innovative environment.
• Design, develop, and maintain scalable data pipelines, data products, and enterprise data models that support analytics, reporting, machine learning, and AI initiatives across Lumentum.
• Build and optimize modern data architectures using Databricks, Delta Lake, Spark, SQL, and cloud-native technologies to enable high-performance analytics and trusted business insights.
• Develop and maintain curated semantic layers, business metrics, and governed datasets that power self-service analytics and conversational AI solutions such as Databricks Genie and other natural language query platforms.
• Partner with business stakeholders across Sales, Operations, Manufacturing, Supply Chain, Finance, and HR to translate business requirements into scalable data solutions and reusable data assets.
• Enable business users to interact with enterprise data through natural language interfaces by designing data models, metadata frameworks, business glossaries, and governance standards that improve AI-generated insights and query accuracy.
• Collaborate with Data Scientists, Analytics Engineers, and BI developers to support advanced analytics, predictive modeling, and AI-driven decision-making.
• Establish data quality, lineage, observability, and governance frameworks to ensure trusted, secure, and compliant enterprise data assets.
• Design and implement enterprise-wide KPI frameworks and metric definitions to create a single source of truth across functional domains.
• Optimize data performance, reliability, and scalability while reducing technical debt and improving platform efficiency.
• Support the development of AI-enabled analytics capabilities, including retrieval-augmented generation (RAG), vector search, knowledge repositories, and semantic search solutions that enhance data discovery and business productivity.
• Drive adoption of modern data engineering best practices including CI/CD, Infrastructure as Code, automated testing, and data lifecycle management.
• Partner with leadership and analytics teams to advance Lumentum's vision of a centralized, AI-enabled analytics organization.
• Degree in Computer Engineering, Computer Science, IT, or related fields.
• 10+years of hands-on experience as a Data Engineer or similar role.
• Strong SQL and data modeling skills, including Databricks, Delta Lake, Spark, SQL, and cloud-native technologies.
• Strong analytical, troubleshooting, and problem-solving skills with the ability to support production environments.
• Good communication, problem solving skills, and teamwork mindset.
• Excellent English proficiency (reporting to foreign national).
• We are an equal opportunity employer and value diversity at our company. *.
• We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. *.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. *.
• Please contact us to request accommodation.*.

Experience:

3 years required

Skills:

Microsoft Azure, Python, Apache, Kafka, SQL

Job type:

Full-time

• You have hands-on experience delivering end-to-end data solutions and a strong foundation in areas such as large-scale data processing, data infrastructure engineering, or data modeling.
• You are proficient in Python and SQL, and apply solid engineering practices including testing, version control, CI/CD, and writing maintainable code.
• You have strong, practical experience with Databricks and Apache Spark, and are capable of building, optimizing, and operating production-grade data pipelines.
• You have experience working with streaming data or event-driven pipelines using Kafka or similar technologies.
• You are familiar with workflow orchestration using tools like Airflow, Azure Data Factory, or similar platforms for scheduling, monitoring, and managing data pipelines.
• You have experience working with cloud-based data platforms, particularly on Microsoft Azure; exposure to AWS is a plus.
• You collaborate effectively across teams, communicate clearly, and use strong data intuition to design valuable analytical or operational solutions.
• You are curious, resilient, and thoughtful comfortable learning new technologies, embracing feedback, and improving how things are done.

Experience:

5 years required

Skills:

Big Data, Teamwork, Kafka, SQL, ETL

Job type:

Full-time

• 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.

Experience:

1 year required

Skills:

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

Job type:

Full-time

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

Skills:

Project Management

Job type:

Full-time

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

Experience:

3 years required

Skills:

Architecture, SQL, ETL

Job type:

Full-time

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

Experience:

6 years required

Skills:

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

Job type:

Full-time

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

Experience:

3 years required

Skills:

node.js, Python

Job type:

Full-time

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

Experience:

3 years required

Skills:

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

Job type:

Full-time

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

Job type:

Full-time

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

Experience:

5 years required

Skills:

Microsoft Azure, Architecture, Python, DevOps, SAP, ERP, SQL, ETL

Job type:

Full-time

• Design, develop, and optimize enterprise-scale data platforms on Microsoft Azure Cloud.
• Build scalable and secure ETL/ELT data pipelines to support Data Lake, analytics, and AI/ML initiatives.
• Ensure high-quality, reliable, and cost-efficient data architecture while driving continuous improvement and technical best practices.
• Collaborate with cross-functional teams to deliver robust data engineering solutions and mentor junior engineers.
• Design and develop scalable data pipelines and cloud-based data architecture using Azure Data Factory (ADF), Databricks, Microsoft Fabric, and SSIS.
• Build ETL/ELT processes to integrate data from multiple sources such as SAP, ERP systems, APIs, and Excel into enterprise Data Lake and databases.
• Develop and optimize SQL, Python, and PySpark scripts for large-scale data processing.
• Monitor daily data pipeline operations, troubleshoot complex technical issues, and perform root cause analysis.
• Ensure data quality, accuracy, security, and optimize database performance.
• Prepare technical documentation, operation manuals, and share best practices with the team.
• Support continuous improvement by adopting emerging technologies and mentoring junior data engineers.
• Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or related fields.
• Minimum.
• 5 years.
• of experience in Data Engineering or related roles.
• Strong experience with.
• Microsoft Azure., Azure Data Factory (ADF), Databricks, Microsoft Fabric, and Data Lake.
• Strong proficiency in.
• SQL Server, T-SQL, Python, and PySpark.
• Experience in designing Data Warehouse, ETL/ELT processes, and integrating data from ERP/SAP systems and APIs.
• Knowledge of Cloud Architecture, CI/CD, DevOps practices, and Database Performance Tuning.
• Strong analytical and problem-solving skills with the ability to perform root cause analysis.
• Passion for learning new technologies and mentoring team members.

Experience:

5 years required

Skills:

Project Management, Procurement

Job type:

Full-time

Our people are ambitious and humble, believing in what they do and convinced that our purpose is shaping a world of trust. With responsibility and openness, they daily serve our 400.000 clients in 140 countries, to bettering society. Across all our businesses and countries, each one of our people leaves their mark in shaping society. > We believe that leaving a mark is a true challenge and opportunity for every one of us. > We believe that leaving a mark is a sign of trust and impact. > We believe that leaving a mark is a bond with the future. > We believe that leaving a mark is pr ...

Skills:

Teamwork, Teaching

Job type:

Full-time

• Cognitive Architectures.
• Machine Learning.
• Computer Vision.
• Natural Language Processing.
• Human-centered Design for AI applications.
• Data Science & Data Engineering.
• Cyber security.
• We are interested in applicants who are committed and have a passion for a culturally diverse environment in research and/or teaching, and demonstrate a willingness to nurture a uniquely inclusive environment. By partnering with public & private partners, our researches are focused towards practical AI applications in logistics, retail, agriculture, finance and entertainment technology. We are collaborating with Carnegie Mellon University and leading universities in Thailand in providing top-tier collaborative research and engineering degree programs in Thailand.
• Our core faculty carry a moderate teaching load that allows time for quality research and close involvement with students. We expect you to establish and grow a strong research program, contribute to our teaching mission, and show your passion for mentoring and advising students. We are seeking individuals who have demonstrated commitment to our core values: creativity, quality, innovation, and engineering solutions, all within a diverse and tight-knit community guided by respect and joy of doing.
• Provide a continuing high level of personal commitment to, and achievement in, a particular scholarly area and asa result, generating high level research outcomes.
• Leading research projects and secured supporting resources for research teams.
• Contribute to developing, mentoring and providing feedback to junior researchers.
• Make an effective contribution to teaching and learning in their discipline, modeling teamwork and flexibility to ensure the pedagogical and commercial success of the Faculty and University.
• Contribute to curriculum, resource, program and subject design, development, management and review as required to ensure that learning and teaching in the Faculty and across disciplines reflect best practice and a command of the field.
• Conduct lectures, tutorials, workshops, practical classes, demonstrations, field excursions, clinical sessions and other appropriate learning activities as required.
• Act as a subject coordinator and/or area or discipline coordinator including: managing the area/discipline including providing feedback and contributing to performance management; supervising tutors; carrying out related planning and coordination responsibilities; organizing the preparation and marking of assignments and all examinations; invigilating examinations; and submitting grades.
• Continuously improve their own teaching and learning, including developing a comprehensive teaching portfolio, and contributing to the continuous development and improvement of learning and teaching across the university.
• Ensure that the graduate attributes of the University are embedded in subjects or discipline areas for which they are responsible and that there is explicit relationship between learning and teaching to University objectives.
• Comply with all policies and procedures relating to teaching and learning, making every effort to contribute to the continuous improvement and effectiveness of the administration of teaching and learning.
• Flexible Work Schedule.
• Five-day work per week.
• Group-based health insurance plan.
• Provident Fund.
• Paid Time Off (10 days - annual leave).

Skills:

Business Development, Civil Engineering, Procurement

Job type:

Full-time

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

Experience:

7 years required

Skills:

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

Job type:

Full-time

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

Experience:

7 years required

Skills:

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

Job type:

Full-time

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

Experience:

5 years required

Skills:

Electrical Engineering, Mechanical Engineering, English, Thai

Job type:

Full-time

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