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Skills:

Research, ETL, Automation

Job type:

Full-time

• Lead the design and development of data architecture, ensuring scalability, security, and alignment with business strategy.
• Oversee the collection, transformation, and integration of data from multiple internal and external sources.
• Conduct advanced research and troubleshooting to address complex business and technical problems.
• Design, build, and optimize data pipelines and ETL processes to handle large-scale and real-time data.
• Implement automation solutions to minimize manual intervention and improve data efficiency.
• Provide technical leadership and mentorship to junior engineers, ensuring best practices in coding, testing, and deployment.
• Collaborate with cross-functional stakeholders including Data Scientists, Analysts, and Business Leaders to deliver actionable insights.
• Evaluate and recommend new tools, frameworks, and technologies to enhance data engineering capabilities.
• Job SpecificationBachelor s Degree in Information Technology, Computer Science, Statistics, Mathematics, Business, or a related field (Master s Degree is a plus).
• Minimum of 5 years experience in data engineering, with at least 2 years in a senior or lead role.
• Proven expertise in the data analytics lifecycle, including business problem framing, KPI/metrics design, exploratory analysis, and presenting data insights.
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and advanced programming skills in Python, Java, PySpark.
• Solid knowledge of data processing, ETL frameworks, data warehousing, and messaging queue systems (e.g., Kafka).
• Demonstrated experience in designing highly scalable, resilient, and secure data systems.

Skills:

Compliance, Python, SQL

Job type:

Full-time

• Lead System Analyst/Senior Data Engineer assigns to work on IECC Project and Finance-Risk and Compliance Data initiatives to support solution design and data integration between upstream applications, downstream applications, and business users.
• To design, build, and operate reliable data pipelines across batch, near-real-time, and real-time workloads.
• To utilize multiple technologies (e.g. Python, SQL/Stored Procedures, ETL/ELT tools) to ingest, transform, and deliver governed, audit-ready data.
• To orchestrate and monitor jobs, implement data quality controls, and ensure security, lineage, and observability, while modernizing existing workflows with automation, testing, and performance tuning.
• Build and maintain ingestion, transformation, and delivery pipelines that produce governed, audit-ready datasets.
• Use Python, SQL/Stored Procedures, and ETL/ELT frameworks (or any relevant technologies) to implement scalable and reusable data pipeline components.
• Orchestrate and monitor workloads (e.g., DAGs/schedulers), ensuring reliability, idempotency and rerun ability.
• Enforce data quality (completeness, validity, accuracy, timeliness, uniqueness) and reconciliation checks.
• Ensure security and compliance: access control, PII handling, encryption, and audit logging.
• Design and manage workflow orchestration for reliable execution, monitoring, and failure recovery with Airflow/Control-M/ESP (DAGs, retries, backfills, idempotency).
• Collaborate with Architects/Stewards to apply a Shared Canonical Model (CDM) and data standards.
• Implement security controls (RBAC/ABAC), PII masking, encryption in-transit/at-rest, and auditable logs.
• Maintain runbooks, technical specifications (e.g. data mapping), and contribute to CI/CD (Git, artifacts, release notes).
• Monitor pipelines (SLIs/SLOs), diagnose incidents, and drive continuous performance and cost improvements.
• Promote data literacy and a data-driven culture through cross-functional collaboration..
• Apply now if you have these advantages.
• Bachelor's / Master degree in Computer Engineer, Computer Science, Information Technology, or related fields.
• At least 8-12 years as System Analyst / Data Engineer, 2-3 years in banking industry.
• Strong background in one or more: large-scale data processing, data infrastructure engineering, or data modeling.
• Solid grasp of CDC patterns, schema-drift control, robust error handling, and recovery/replay.
• Proven track record improving pipelines via automation, testing, and performance tuning.
• Exposure to cloud data platforms (AWS/Azure/GCP), Databricks/Spark Structured Streaming is a plus.
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Strong SQL (complex queries, optimization) and Python (DB-API/pandas or PySpark) comfortable with Unix shell.
• Experience with one or more: Talend, IBM DataStage, Airflow, Kafka, Spark, Trino/Presto.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Financial services, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank..
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

Skills:

Compliance, AutoCAD

Job type:

Full-time

• Assist in the design and development of mechanical systems including HVAC, Fire protection, and Hydraulic systems tailored for data center needs.
• Help plan and manage maintenance activities for mechanical systems, ensuring adherence to industry standards and operational efficiency.
• Maintain accurate records of mechanical system designs, maintenance activities, and compliance with safety regulations.
• Participate in site inspections to assess mechanical systems' condition and ensure compliance with design specifications.
• Assist in coordinating with third-party vendors for maintenance and upgrades, ensuring that all work meets established standards.
• Be available to respond to on-site incidents and assist senior engineers in troubleshooting mechanical failures.
• Engage in ongoing training and professional development opportunities to stay updated on the latest technologies in the data center industry.
• Job QualificationsBachelor s degree in mechanical engineering or a related field is required.
• more than 5 years of experience in mechanical engineering, preferably within a data center or critical environment.
• Basic understanding of HVAC systems, mechanical design principles, and relevant software tools (e.g., AutoCAD).
• Strong problem-solving abilities to identify issues and propose effective solutions.
• Good verbal and written communication skills for effective collaboration with team members and vendors.
• Ability to work well within a team environment while also being capable of taking initiative when necessary.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Experience:

5 years required

Skills:

Python, ETL, Java

Job type:

Full-time

• Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark.
• Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud.
• Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow.
• Implement data security and compliance measures to protect data privacy and ensure regulatory compliance.
• Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data.
• Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team.
• Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise.
• Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure.
• Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python.
• Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP.
• Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink.
• Knowledge of data modeling principles and experience working with SQL databases.
• Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Location: True Digital Park, Bangkok (Hybrid working).

Job type:

Full-time

• The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
• Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
• Oversee the development and management of complex ETL/ELT processes for data ingesti ...
• Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
• Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
• Administer and optimize cloud-based data warehouse solutions and associated data lakes.
• Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
• Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
• Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience working in a data engineering or related position.
• Proficient in advanced SQL, including query optimization and performance tuning.
• Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
• Skilled in using Python for data processing and advanced pipeline development.
• Experienced with tools and technologies for data ingestion, connectivity, and management.
• Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
• Excellent analytical and problem-solving skills.
• Communication and teamwork skills.
• Ability to plan and manage tasks effectively.

Skills:

Big Data, SQL, Hadoop

Job type:

Full-time

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Experience:

5 years required

Skills:

Statistical Analysis, SQL, Excel

Job type:

Full-time

• Develop and enhance business intelligence solutions, directly contacting stakeholders and top management to transform data into actionable insights.
• Establish and maintain robust relationships with stakeholders, ensuring alignment with business goals and optimally communicating updates, feedback, and addressing concerns.
• Complex Data Analysis and Operational Excellence Analyze large, critical data sets and conduct sophisticated statistical analysis to derive meaningful insights.
• Build and operationalize processes to ensure timely data loading and maintain data accuracy, using tools such as SQL, Snowflake, Microsoft Excel, Tableau, and Microsoft Power BI.
• Define key performance measures, supervise capacity and service status, and assess risk levels across infrastructures, addressing issues with relevant teams and progressing open actions.
• Insight Generation and Continuous Improvement Conduct trend analysis to detect patterns and anomalies in service metrics, performing root cause analysis and driving continuous improvement initiatives.
• Track and analyze mean time metrics for incident, case, and alarm handling, providing actionable insights for operational excellence and customer experience.
• Optimize resource utilization through regular analysis of system capacity, developing and implementing risk management strategies for individual products.
• Collaboration and Communication Facilitate review forums to unify stakeholders and drive collective decision-making, providing regular reports to key customers to communicate current status and drive timely actions.
• Liaise with global development teams to troubleshoot, analyze, and investigate performance-related issues in the infrastructure.
• Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Minimum of 5 years of experience in data analysis or a related field.
• Proficiency in data analysis tools i.e. SQL, python, R, and Tableau/Power BI.
• Strong analytical and problem-solving skills with focused attention to detail.
• Strong organization and project management skills.
• Superb communication and presentation skills.
• Ability to communicate complex data insights optimally to stakeholders.
• Preferred: Experience with Datadog or Big Panda.
• Experience with data modelling.
• Experience in tech industry.
• LSEG is an equal opportunities employer, that seeks to offer an inclusive environment to all colleagues. Furthermore, LSEG has committed to reduce its carbon emissions by 50% by 2030, and to reach net zero by 2040. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it s used for, and how it s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Skills:

Apache, Compliance, Automation

Job type:

Full-time

• Design, develop, and maintain robust and scalable data pipelines using tools such as Apache Airflow, PySpark, and cloud-native services (e.g., Azure Data Factory, Microsoft Fabric Pipelines)..
• Manage data ingestion from APIs, files, and databases into data lakes or data warehouses (e.g., Microsoft Fabric Lakehouse, Iceberg, DWS)..
• Ensure seamless data integration across on-premise, cloud, and hybrid environments..
• Implement data validation, standardization, and transformation to ensure high data quality..
• Apply data encryption, masking, and compliance controls to maintain security and privacy standards..
• AI & Intelligent AutomationCollaborate with Data Scientists to deploy ML models and integrate predictive insights into production pipelines (e.g., using Azure Machine Learning or Fabric Notebooks)..
• Support AI-powered automation and data insight generation through tools like Microsoft Co-pilot Studio or LLM-powered interfaces (chat-to-data)..
• Assist in building lightweight AI chatbots or agents that leverage existing datasets to enhance business efficiency..
• Qualifications & Skills3-5+ years of experience in Data Engineering or AI Engineering roles.
• Proficiency in Python, SQL, and big data frameworks (Apache Airflow, Spark, PySpark)..
• Experience with cloud platforms: Azure, Huawei Cloud, or AWS.
• Familiar with Microsoft Fabric services: OneLake, Lakehouse, Notebooks, Pipelines, and Real-Time Analytics..
• Hands-on with Microsoft Co-pilot Studio to design chatbots, agents, or LLM-based solutions..
• Experience in ML model deployment using Azure ML, ModelArts, or similar platforms.
• Understanding of vector databases (e.g., Qdrant), LLM orchestration (e.g., LangChain), and prompt engineering is a plus.

Experience:

2 years required

Skills:

Assurance, Statistics, Risk Management

Job type:

Full-time

• Work as a specialist team under IT, Data, and Analytic team (ITDA) for both IT Audit Support and IT Assurance/Advisory engagements.
• Analyze & formulate IT and Business cases into practical analytics solutions.
• Provide Data Analytics & Visualization services to support Financial Audit team or Clients directly in order to meet their requirements.
• Develop analytics models and solutions by using predictive analytics, statistics, optimization, machine learning, optimal sampling, experimental design and other techniques.
• Deliver clear and actionable recommendations to all stakeholders, esp for Data-related.
• Perform any other tasks or assignments related to Data Analytics & Visualization and others IT Audit services.
• Your role as a leader.
• At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Consultants / Senior Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• RequirementsBachelor's Degree or above in quantitative fields such as Data Science/Analytics, AI, Engineering, Computer Science/Engineering, Statistics, Mathematics, or related fields.
• At least two years experience in Data Analytic & Visualization related fields.
• Experiences in IT Audit & Advisory or IT Audit / Risk Management / Compliance in other corporate companies (e.g., Financial Service, Telecommunication, Consumer Products) would be advantage.
• Hands-on experiences in using Data Analytic & Visualization tools (e.g., R, Python, Tableau, PowerBI, SQL, etc) is a must.
• Ability to analyze and break down complex items and interpret technical findings into business implication that can be communicated to Financial Audit team and Clients Management.
• Basic understanding of Audit concept, IT regulatory requirements (e.g., BOT, SEC, OIC, PDPA), and IT-related controls & standards (e.g., ISO27001, COBIT, ITIL, NIST).
• Can do and professional "get it done" attitudes, and fast moving.
• Good analytical, problem-solving, communication and presentation skills.
• Can work under pressure both independently and a part of team.
• Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorized Deloitte Recruiters via firm s business contact number or business email address. Requisition ID: 109800In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Job type:

Full-time

• Design and implement the methods for storing and retrieving the data and monitoring the data pipelines, starting from the ingestion of raw data sources, transforming, cleaning and storing, enrich the data for promptly using for both of structured and unstructured data, and working with the data lake and cloud which is the big data technology.
• Develop data pipeline automation using Azure technologies, Databricks and Data Factory
• Understand data, reports and dashboards requirements, develop data visualization using Power BI, Tableau by working across workstreams to support data requirements including reports and dashboards and collaborate with data scientists, data analyst, data governance team or business stakeholders on several projects
• Analyze and perform data profiling to understand data patterns following Data Quality and Data Management processes
• 3 years+ experience in big data technology, data engineering, data analytic application system development.
• Have an experience of unstructured data for business Intelligence or computer science would be advantage.
• Technical skill in SQL, UNIX and Shell Script, Python, R Programming, Spark, Hadoop programming.

Job type:

Full-time

• We are looking for a skilled Data Engineer to join our team and help build and maintain our data infrastructure. The ideal candidate will be responsible for designing, implementing, and managing our data processing systems and pipelines. You will work closely with data scientists, analysts, and other teams to ensure efficient and reliable data flow throughout the organization.
• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Implement ETL processes to extract data from various sources and load it into data warehouses or data lakes.
• Optimize data storage and retrieval processes for improved performance.
• Collaborate with data scientists and analysts to understand their data requirements and provide appropriate solutions.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security measures and access controls.
• Troubleshoot data-related issues and optimize system performance.
• Stay up-to-date with emerging technologies and industry trends in data engineering.
• Document data architectures, pipelines, and processes.
• Bachelor's degree in Computer Science, Engineering, or a related fields 2. 2-4 years of experience in data engineering or similar roles 3. Strong programming skills in Python, Java, or Scala 4. Proficiency in SQL and experience with relational databases (e.g., Databrick, PostgreSQL, MySQL) 5. Familiarity with cloud platforms (AWS, Azure, or Airflow) and their data services 6. Knowledge of data warehousing concepts and ETL best practices 7. Experience with version control systems (e.g., Git) 8. Understanding of data cleansing, data modeling and database design principles 9. Solid problem-solving skills and attention to detail 10. Good communication skills and ability to work with technical and non-technical team members.
• Experience with Azure data platform (ADF, Databrick) 2. Familiarity with data visualization tools (e.g., Tableau, Power BI) 3. Knowledge of stream processing technologies (e.g., Kafka, API, Google Big Query, MongoDB, SFTP sources) 4. Experience with containerization technologies (e.g., Docker).
• Experience to deal with large data and optimization skill in development.
• Understanding of machine learning concepts and data science workflows.

Skills:

System Security, Good Communication Skills, Project Management

Job type:

Full-time

• Follows operational processes and ensures that IT services and infrastructure meets operational service level agreements (SLAs).
• Provides non-routine technical support for computer / IT data center operations, including troubleshooting software and hardware failures.
• Performs installation, repair, and preventative maintenance of computer systems and related technologies.
• Tracks and records system performance and utilization metrics.
• Analyses IT systems to identify areas for improvement and developing solutions to optimize business processes and IT operations.
• Participates in the development of IT infrastructure projects.
• Maintains access control, data integrity, and file system security for computer / data center environment.
• Performs any other duties as required by the IT Operations management team.
• To thrive in this role, you need to have: Developing knowledge of data center applications and systems.
• Developing proficiency in hardware and software systems like servers, networks and databases.
• Ability to collect and analyse system performance data to identify issues and improve IT systems.
• Ability to effectively communicate technical information to non-technical people.
• Good communication skills, both written and verbal.
• Good analytical and problem-solving skills to troubleshoot issues and devise efficient solutions.
• Developing project management skills.
• Academic qualifications and certifications: Bachelor's degree or equivalent in Computer Science or Information Technology or related field.
• Relevant vendor certifications such as ITIL foundation.
• Additional beneficial certifications such as CNET and CDCDP etc.
• Required experience: Moderate level experience in data center applications, as well as server and non-desktop computer hardware, software, systems and other resources within a data center setting.
• Moderate level experience in a similar role, with strong understanding of IT and data center operations.
• On-site Working About NTT DATA
• NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
• Equal Opportunity Employer
• NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Skills:

Business Development, Project Management

Job type:

Full-time

• Engineering role in business development, project development, and project execution phases from inception to commercial operation.
• Performing technical feasibility study, technical due diligence study, and preparing technical inputs/proposals for business development of projects.
• Conceptual design and operation philosophy of Waste to Energy, Power Plant and interconnecting transmission lines and substations.
• Pre-construction development of the projects: Defining scope and specification of work, in order to procure engineering, procurement, and/or construction works, and biding and evaluating for engineering, procurement, and/or construction works.
• Execution phase of the projects: Reviewing electrical engineering document e.g. power system study, single line diagrams, schematic & wiring diagrams, calculations, specifications and datasheets and reviewing, coordinating, controlling, and following up works with contractors in order to ensure that the engineering, procurement and construction works are in accordance with the project specification, on time and on budget, in accordance with the objective of the project.
• Coordinating with team and providing supports on relevant issues in order to complete project effectively.
• Job QualificationsBachelor s degree or higher in Electrical Engineering or related fields.
• Minimum 6-8 years experience in project engineer especially in EPC.
• In-depth knowledge of solar components and solar project development.
• Project management capability. Solar components sourcing.
• Familiar with local grid code for solar plants.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Ability to travel/ work upcountry and abroad.
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Procurement

Job type:

Full-time

• Support construction and commissioning of hydropower plant control systems ensuring performance, safety, and reliability.
• Support the EPC team in engineering, procurement, and construction of control and instrumentation systems for the hydropower project.
• Review design and develop human-machine interfaces (HMI) for plant operation and monitoring.
• Review and specify instrumentation (flow, pressure, level, temperature sensors, control valves, actuators) for auxiliary systems.
• Review datasheet / calculation for control valves, safety relieve valves, flow elements, restriction orifice; thermowell wake frequency and selection of the suitable valve, etc.
• Support installation, calibration, and commissioning of control systems and field instruments.
• Participate in technical bid evaluations and ensure all C&I deliverables meet hydropower construction standards and project requirements.
• Job Qualifications.
• Bachelor s Degree or higher in Control and Instrument Engineering or a related field.
• At least 5 years experience in Control Engineering.
• Experience in power generation, renewable energy, solar, hydropower, gas and infrastructure & utilities would be an advantage.
• Strong understanding of control system principles, including feedback loops, signal processing, and PID control.
• Proficient in using C&I engineering software tools (e.g., DCS/PLC programming languages, HMI development tools).
• Experience with relevant C&I codes and standards (e.g., ISA, IEEE).
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Ability to travel/work upcountry and abroad.
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Business Development, Procurement, Civil Engineering

Job type:

Full-time

• Engineering role in business development, project development, and project execution phases from inception to commercial operation.
• Performing technical feasibility study, technical due diligence study, and preparing technical inputs/proposals for business development of projects.
• Conceptual design and operation philosophy of the Hydro Power Plant.
• Pre-construction development of the projects: Defining scope and specification of work, in order to procure engineering, procurement, and/or construction works, and biding and evaluating for engineering, procurement, and/or construction works.
• Execution phase of the projects: Reviewing hydro-mechanical engineering documents, and reviewing, coordinating, controlling, and following up works with contractors in order to ensure that the engineering, procurement and construction works are in accordance with the project specification, on time and on budget, in accordance with the objective of the project.
• Coordinating with team and providing supports on relevant issues in order to complete project effectively..
• Job QualificationsBachelor s degree in Mechanical Engineering or a related field..
• Minimum 5-10 years of experience in mega infrastructure or construction projects (experience in renewable energy projects is a plus but not mandatory)..
• Strong knowledge of civil engineering principles, construction methodologies, and site management.
• Strong leadership, problem-solving, and cross-cultural communication skills.
• Professional Engineering (PE) license or equivalent is a plus.
• Be able to work permanently outside of Thailand for an international project.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Business Development, Procurement

Job type:

Full-time

• Engineering role in business development, project development, and project execution phases from inception to commercial operation.
• Performing technical feasibility study, technical due diligence study, and preparing technical inputs/proposals for business development of projects.
• Conceptual design and operation philosophy of the Hydro Power Plant and interconnecting transmission lines and substations.
• Pre-construction development of the projects: Defining scope and specification of work, in order to procure engineering, procurement, and/or construction works, and biding and evaluating for engineering, procurement, and/or construction works.
• Execution phase of the projects: Reviewing electrical engineering document e.g. power system study, single line diagrams, schematic & wiring diagrams, calculations, specifications and datasheets and reviewing, coordinating, controlling, and following up works with contractors in order to ensure that the engineering, procurement and construction works are in accordance with the project specification, on time and on budget, in accordance with the objective of the project.
• Coordinating with team and providing supports on relevant issues in order to complete project effectively.
• Job Qualifications.
• Bachelor s degree or higher in Electrical Engineering.
• Minimum 6-8 years experience in project engineer and/or engineering design.
• Experience in hydropower projects, transmission and distribution system would be an advantage.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Ability to travel/work upcountry and abroad.
• Goal-Oriented, Unity, Learning, Flexible.

Job type:

Full-time

• We are inviting applications for the position of Senior R&D Engineer / Scientist in our Resin for Paint and coating division. The ideal candidate will be responsible for leading the development and improvement of coating and resin systems with a focus on quality, innovation, sustainability, and regulatory compliance. This is a leadership role requiring a deep understanding of polymer science, surface chemistry, and coating applications across various industries.
• Lead and execute complex R&D projects from concept to commercialization.
• Lead formulation and development of advanced paints, resins, and coatings, including water-based, solvent-based, and hybrid systems as well as the low VOC products.
• Innovate and optimize product formulations for enhanced performance, cost-effectiveness, and environmental compliance (e.g., low-VOC, eco-friendly technologies, Green Label, LEED).
• Ensure compliance with company policies, safety standards, and regulatory requirements.
• Plan and execute laboratory experiments, analyze results, and provide actionable insights or prototypes to validate new technologies.
• Evaluate new raw materials, resins, pigments, additives, and suppliers.
• Collaborate with cross-functional teams (production, QC, sales, marketing, and procurement) to support scale-up, troubleshooting, and commercialization.
• Ensure adherence to applicable industry standards and regulatory guidelines (e.g., VOC regulations, LEED, Green Label, ISO etc.).
• Generate and maintain all relevant technical documentation, test reports, and formulation records.
• Provide technical support to customers and internal stakeholders, including training and troubleshooting.
• Mentor junior R&D staff and interns and contribute to knowledge-sharing within the team to enhance their technical knowledge and skill.
• Monitor emerging trends and technologies in coatings and resin systems to support long-term R&D strategy and business strategy.
• Manage timelines, budgets, and resource allocation for assigned projects..
• M.Sc./M.Tech/Ph.D. in Polymer Science, Chemical Engineering, Surface Coating Technology, Organic Chemistry, or a related discipline.
• Minimum 20 years of R&D experience in the paint, coatings, or resin manufacturing industry, preferably in a senior or leadership capacity.
• Strong expertise in formulation chemistry of various coatings: architectural, industrial, automotive, protective, etc.
• Hands-on experience with analytical and performance testing equipment (e.g., viscometer, spectrophotometer, gloss meter, FTIR, DSC, TGA).
• Knowledge of resin synthesis and polymerization techniques is a plus.
• Excellent problem-solving, project management, and analytical skills.
• Strong communication (verbal and written) for internal reporting and external collaboration.
• Leadership skills with the ability to mentor and develop junior staff.
• Experience in low-VOC, water-based systems, or bio-based coatings.
• Exposure to patent filing, technical papers, or international formulation standards.
• Familiarity with SAP, LIMS, or digital R&D systems.
• This position is based at TOA Paint (Thailand) Public Company Limited, Head Office. Working hours: 5.5 days / Monday to Friday, with every other Saturday and Sunday off.
• Interested applicants are requested to send their English resume to.
• [email protected], [email protected], [email protected].

Skills:

Compliance, ISO 14001, ISO 9001, English

Job type:

Full-time

• Monitor the EPC contractor s mechanical installation works (boilers, turbines, conveyors, pumps, etc.) for conformance to design and quality standards.
• Conduct daily site inspections to verify safety compliance and work progress.
• Coordinate with the owner s engineering, QA/QC, and HSE teams to manage issues arising at site.
• Participate in mechanical testing, commissioning, punch list inspections, and system handover processes.
• Support documentation review such as O&M manuals, test reports, and equipment data sheets for handover readiness.
• Attend site coordination meetings and report progress/issues to the Site Manager.
• Supervise mechanical personnel in the safe and timely execution of their duties on a day to day basis.
• Supervise mechanical repair and troubleshooting and assist in the training of the mechanical personnel.
• Set up preventive/predictive maintenance program and prepare all necessaries spaceports and consumable materials for mechanical repair.
• Improve technical information of mechanical equipment in maintenance database system.
• Maintain journals, logs, maintenance and equipment records and various reports.
• Provide general direction, control and evaluate to subordinate classifications.
• Initiate purchase requisition for any maintenance parts required and submit for approval.
• Job Qualifications.
• Bachelor s degree in Mechanical Engineering or related field.
• Minimum 8 years of experience in mechanical work in power plant, energy, or large-scale industrial settings..
• Experience in both construction supervision and plant O&M is strongly preferred.
• Must have knowledge of and actively support quality, environmental, safety, and social management systems (e.g., ISO 14001, ISO 9001, ISO 45001, and ESMS).
• Familiarity with mechanical systems in WtE (waste-to-energy), thermal power plants, or heavy industrial facilities.
• Sound knowledge of preventive maintenance planning, condition monitoring, and mechanical failure analysis.
• Strong leadership, communication, and team coordination skills.
• Able to work full-time on-site and adapt to changing project/operation conditions.
• Proficiency in Thai; basic English for technical documents and reporting is a plus.

Skills:

Automation, Compliance, ISO 27001

Job type:

Full-time

• Design, implement, and maintain enterprise IAM solutions supporting identity lifecycle, authentication, and authorization.
• Manage user onboarding, access provisioning, and deprovisioning workflows integrated with ITSM and ITAM platforms.
• Develop and enforce access policies, governance standards, and automation processes for managing users and assets.
• Integrate IAM systems with core productivity, communication, and collaboration platforms.
• Implement and monitor privileged access controls to safeguard critical systems and infrastructure.
• Oversee secure remote access and connectivity across networks and cloud environments.
• Collaborate with IT, Security, and Operations teams to align IAM practices with ITSM change, incident, and request processes.
• Maintain accurate asset and account inventories through ITAM integrations to ensure compliance and visibility.
• Troubleshoot identity-related incidents and support audits, reviews, and internal controls.
• 3-5 years of experience in identity and access management engineering or IT administration.
• Strong understanding of IAM concepts: SSO, OIDC, SCIM,MFA, RBAC, lifecycle automation, and access governance.
• Experience integrating IAM with ITSM and ITAM systems for end-to-end user and asset lifecycle management.
• Hybrid Identity & Access Management, Managed AD and Google Workspace.
• Familiarity with privileged access controls, VPNs, and secure network access solutions.
• Knowledge of IT operations and service delivery processes (incident, change, and request management).
• Scripting or automation experience to streamline access and provisioning workflows.
• Strong documentation, communication, and cross-team collaboration skills.
• Nice to Have.
• Experience in fintech, blockchain, or crypto environments.
• Exposure to zero trust and identity governance models.
• Understanding of compliance and security frameworks (SOC 2, ISO 27001, NIST).
• Knowledge of basic network and infrastructure.

Experience:

5 years required

Skills:

English

Job type:

Full-time

• Gather project requirements and provide technical consulting to customers
• Create technical project documents. (Micro design, Work-Plan, Final Document)
• Responsible for implementation-engineer role
• Control 3rd-party vendor to perform implementation as commitment
• Control Project Safety, Quality and Deliverable
• Proactive tracking and observe issue then define prevention and escalate to leader
• Provide logical problem serving in both technical and process until the project is completely done.
• Experienceat 6-10 years
• At least 3 years of experience in networking/project engineering
• Experience in Enterprise network design and implementation
• Hand on experience in LAN Network; Cisco based
• Hand on experience in Wireless Network; Cisco and Aruba Wireless Solution
• Having knowledge in Network Security component e.g. firewall, ACL
• Having knowledge in Public cloud e.g. AWS and Azure, will be an advantage.
• Good command in English
• Good communication skill
• Excellent problem-solving, analytical including Root-cause identification skills
• Adaptability
• Problem solving
• Logical thinking
• Service mind
• Management Skill
• Good team player.