You will be responsible for designing, developing, and optimizing enterprise-scale data platforms on the Microsoft Azure Cloud. This role involves building scalable and secure ETL/ELT data pipelines to support Data Lake initiatives, analytics, and AI/ML projects. You will ensure high-quality, reliable, and cost-efficient data architecture while collaborating with cross-functional teams to deliver robust solutions and mentor junior engineers. Your day-to-day work includes designing cloud-based data architecture using Azure Data Factory, Databricks, and Microsoft Fabric. You will build ETL/ELT processes to integrate data from SAP, ERP systems, APIs, and Excel into the enterprise Data Lake. Additionally, you will develop and optimize SQL, Python, and PySpark scripts for large-scale data processing and monitor daily pipeline operations to troubleshoot complex technical issues.

LINE MAN Wongnai is Thailand's leading On-Demand Delivery and Lifestyle e-Commerce platform. We are seeking a Data Platform Engineer to design and manage scalable data infrastructure. You will work closely with product and data teams to build fault-tolerant systems that support millions of users. This role involves optimizing end-to-end data pipelines and ensuring high availability for our core services. You will be responsible for defining architecture patterns and enforcing best practices to ensure platform reliability. The role requires deep expertise in distributed computing and cloud infrastructure. You will also manage production deployments and monitoring systems to maintain system health.

You will lead and manage forensic investigations and financial crime advisory projects across Thailand and Southeast Asia. This role involves supervising engagement teams, reviewing financial documents, and calculating the financial impact of fraud or misconduct. You will draft and review reports for clients, regulators, and legal counsel, while mentoring junior staff to develop their skills. Additionally, you will contribute to business development initiatives, including creating proposals and participating in market eminence activities to grow the practice. As a Manager, you will demonstrate leadership within a mixed team of local and JCS members. You are expected to drive high performance, ensure quality and risk management on engagements, and influence stakeholders positively. You will align your team with key objectives, make informed decisions that enhance financial performance, and apply your understanding of emerging fraud trends and regulatory requirements to deliver superior value.

This role reimagines traditional IT operations by positioning you as the team's core builder and creator of efficiency tools. You will leverage deep technical expertise and scripting mastery to transform everyday operational challenges into practical, high-impact automated systems. By designing and enhancing modern device management while developing automation across our entire SaaS and enterprise software ecosystem, you will solve complex system integration challenges and drive internal innovation at scale. You will lead the administration of Unified Endpoint Management (UEM/MDM) platforms to ensure all laptops and mobile devices are strictly hardened against threats. Your responsibilities include continuously building, updating, and monitoring device configurations while defining and enforcing robust security baselines to achieve 100% compliance. You will also configure automated security workflows to instantly detect and isolate non-compliant endpoints while maintaining comprehensive documentation of security baselines and incident response procedures.

This role reimagines traditional IT operations by positioning you as the team's core builder and creator of efficiency tools. You will leverage deep technical expertise, scripting mastery, and modern AI/GenAI applications to design and enhance Modern Device Management while developing automation across our entire SaaS and Enterprise Software ecosystem. By joining our team, you will step into a role where you can solve complex system integration challenges, drive internal innovation, and elevate both security and operational efficiency at scale. You will lead the administration of Unified Endpoint Management (UEM/MDM) platforms to ensure all laptops and mobile devices are strictly hardened against threats. You will continuously build, update, monitor, and troubleshoot device configurations while defining and enforcing robust security baselines to achieve 100% compliance. Additionally, you will design and maintain automation scripts and internal bots to eliminate manual IT and cross-team workflows, ensuring seamless integration of core work platforms with internal tools for real-time data sync.

The AI Engineer plays a critical role in designing, building, and deploying AI and Generative AI solutions to drive business value. This position focuses on enhancing customer experience and operational efficiency by developing enterprise-grade AI applications, agents, and automation workflows. The role requires close collaboration with cross-functional teams to gather requirements and implement solutions across various business domains, including customer care and network operations. Additionally, the engineer will contribute to the development of foundational AI platforms and services, ensuring robust MLOps and LLMOps practices are in place for scalable production environments. Key responsibilities include supporting the full lifecycle of AI/ML and GenAI solutions, from initial design and development to deployment and monitoring. The engineer will work on building and enhancing AI platforms, including APIs, orchestration components, and foundational capabilities such as RAG and vector databases. They will also participate in data pipeline development, model deployment, and governance activities to ensure security and compliance. The role offers the opportunity to work on cutting-edge AI initiatives, including proof-of-concepts and experimentation with internal teams and technology partners.

The Data and Automation Analyst Intern will provide data analysis and operational support for recovery and clawback activities by identifying, tracking, and analyzing lost and damaged shipments across the end-to-end logistics journey. This role involves designing, developing, and maintaining data tools, dashboards, and reporting solutions to support recovery and related business functions. The intern will drive automation initiatives through RPA, AI-powered solutions, and business intelligence platforms such as Power BI. Responsibilities include maintaining and continuously improving recovery automation systems to ensure data accuracy, system reliability, and up-to-date information while identifying process improvement opportunities to optimize operations and enhance accuracy, productivity, and turnaround time.

The Digital Twin Engineer will support digital twin initiatives within SCG Chemicals by collecting and analyzing data to build simulation models. The role focuses on applying CAE tools such as CFD and FEA to petrochemical processes to deliver measurable operational benefits. Key activities include designing and validating digital twin systems, documenting technical specifications, and providing ongoing maintenance and troubleshooting support. The position is based at SCG Headquarters in Bang Sue, Bangkok, and requires close collaboration with engineering teams to integrate simulations into real business workflows. Candidates should hold a Bachelor's or Master's degree in Mechanical or Chemical Engineering with proven experience in CAE simulations for industrial plants. Proficiency in ANSYS tools and Python is essential, along with strong English communication skills.

We are seeking a Process Management and Data Analyst Associate to support GrabFin's lending operations in Thailand. The role involves overseeing end-to-end execution of lending projects while collaborating with internal teams such as Commercial, Credit Risk, and Collection, as well as external banking partners. You will report to the Head of Product and Operations and work onsite at the Grab office in Bangkok. This position requires strong analytical skills to identify process gaps and drive improvements in the lending workflow. You will perform data analysis, validate datasets, support UAT activities, and prepare presentation materials for regional and partner meetings. The role also includes working with the Regional Data and Product team on system enhancements and new product launches. Ideal candidates are self-directed professionals with a background in finance or operations who are passionate about financial inclusion and micro-economy empowerment in Thailand.

This internship role focuses on analyzing and improving HR operational workflows at Shopee. You will map processes such as onboarding and data management, identify bottlenecks, and develop automation solutions using scripting and data tools. You will collaborate with HR Business Partners to implement user-friendly scripts and applications that handle repetitive tasks. The position emphasizes data integrity, solution testing, and creating technical documentation for sustainable use. Ideal for students in engineering or data-related fields, this role builds practical experience in process improvement and HR technology within a dynamic e-commerce environment.