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Experience:

5 years required

Skills:

Architecture, Leadership Skill, Python

Job type:

Full-time

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• 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 with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• 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.".

Skills:

Architecture, Big Data, Teamwork, SQL, ETL

Job type:

Full-time

• Data management developer is responsible for the successful delivery of business intelligence information to the entire organization and is experienced in BI development and implementations.
• Design stable, reliable and effective data architecture and data mart.
• Understand of BI best practices and be able to create relational structures, dimensional data modeling, structured query language (SQL) skill, data warehouse and reporting techniques, performing ETLs and validating results with business representatives ...
• Support implemented BI solutions by: monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance and communicating functional and technical issues.
• Bachelor or Master Degree in Computer Engineering, Computer Science, Technology information systems, or any other IT related field.
• E.
• xperiences in data warehousing development and architecture hands-on physical/logical database and data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and teamwork.

Experience:

8 years required

Skills:

Teamwork, SAP, ERP, English

Job type:

Full-time

• If you currently work for Brown-Forman, please apply by clicking the.
• Careers.
• icon on the Workday portal.
• For best results, use Google Chrome to view this page.
• Meaningful Work From Day One.
• This role leads the SEA Demand Planning and IBP strategy serving as the primary liaison between commercial teams, customers, and Supply Planning. You will collaborate across functions to refine demand forecasts using advanced analytics, transforming commercial goals into actionable supply plans. From supporting the timely phase-in of new products to identifying cost-saving optimizations, your work will directly impact our end-to-end supply chain performance. We are looking for a detail-oriented lead with the analytical prowess to solve complex logistical challenges and the communication skills to align diverse stakeholders.
• What You Can Expect.
• Forecasting.
• Lead the monthly IBP cycle by facilitating high-impact collaboration between Finance, Marketing, and Commercial teams to reach a consensus forecast.
• Develop long-term & short-term demand plans by combining statistical modeling with qualitative market intelligence, trend analysis, and sales exception management.
• Lead Sales Forecast meetings to challenge assumptions, reduce bias, and continuously improve forecast accuracy.
• NPD Management.
• Act as the supply chain lead for New Product Introductions (NPI), coordinating with Registration, Marketing, and Supply teams to ensure flawless, on-time market launches.
• Manage production transitions, packaging changes, and Route-to-Consumer (RTC) shifts, minimizing supply disruption and maximizing market responsiveness.
• Supply Chain Optimization.
• Ensure the Inventory in markets are optimal and take timely action to deplete the slow moving inventory.
• Partner with Global Supply Planning to manage inventory replenishment and mitigate potential shortages through proactive communication.
• Plan and oversee Value-Added Services (VAS) operations within the warehouse to ensure custom market requirements are met.
• Leverage your analytical prowess to audit end-to-end supply chain processes, identifying cost-saving opportunities and efficiency gains.
• Performance Management.
• Manage key supply chain metrics, providing transparent reporting and actionable insights to senior management.
• Support both local and global supply chain initiatives from conception through execution, serving as the regional subject matter expert.
• What You Bring to the Table.
• Experience: 8+ years of supply chain experience, with a minimum of 5 years dedicated to Demand Planning or a closely related strategic role.
• Education: Bachelor's degree in supply chain, Business, or a related quantitative field.
• Technical Savvy: High proficiency in ERP systems (SAP IBP & Kinaxis preferred) and the MS Office Suite.
• Analytical Mindset: A proven ability to translate complex data into business stories and strategic decisions.
• Interpersonal Excellence: A skilled communicator who can navigate diverse cultures and influence stakeholders at all levels of the organization.
• Adaptability: You thrive in a complex, changing environment and possess the organizational skills to manage multiple high-priority workstreams simultaneously.
• Language: Fluency in English is required.
• We believe great people build great brands. And we know there is Nothing Better in the Market than a career at Brown-Forman. Being a part of Brown-Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work.
• What We Offer.
• Total Rewards at Brown-Forman is designed to engage our people to ensure sustainable and profitable growth for generations to come. As a premium spirits company, we offer equitable pay structures for individual and company performance alongside a premium employee experience. We offer a range of premium benefits that reflect our company values and meet the needs of our diverse workforce.
• LI.
• Employee.
• Leader.
• L2.

Skills:

Statistical Analysis, Marketing Strategy, Digital Marketing, Social media, Recruitment, Big Data, Tableau, YouTube, Python, 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 Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world.
• Define Marketing strategy for Flights Vertical (outside of pricing).
• Spearhead the development, execution, and optimization strategy for growing Agoda's Flights business on different channels (e.g., CRM, Paid Performance marketing).
• Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights.
• Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth.
• Partner closely with various business functions, especially Marketing Accommodation, Flights product and flights supply, to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau to drive meaningful initiatives.
• Monitor and report on the effectiveness of business initiatives, providing insights and recommendations for continuous improvement.
• Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
• Lead, mentor, and develop a team of analysts and managers; participate in hiring and onboarding new team members.
• Extensive Experience.
• 8+.
• years in Data Analyst position or otherwise in projects involving big data preferably in the tech, e-commerce, or digital marketing industry.
• Bachelor's degree in computer science/Statistics/Math or Engineering or Economics and Finance.
• Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
• Stakeholder management.
• Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• People management.
• experience: including hiring, coaching, and developing team members.
• Entrepreneurial mindset.
• A proactive, entrepreneurial mindset with a strong sense of ownership and a get-thing-done attitude.
• Experience in digital or social media marketing.
• Experience in the online travel or e-commerce industry.
• Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
• London.
• PricingStrategy.
• Travel.
• 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.

Skills:

Project Management, Architecture, Power BI, Cloud Computing, English

Job type:

Full-time

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.

Experience:

3 years required

Skills:

Import / Export, Electronics, SAP, English, Thai

Job type:

Full-time

As we create a colorful, capable and cleaner world through chemistry, we invite you to join our team to harness the power of chemistry to shape markets, redefine industries and improve lives for billions of people around the world. CREATING ESSENTIAL CHEMISTRY THAT THE WORLD NEEDS At Chemours, our people are redefining how the world thinks of chemistry by approaching everything we do with a commitment to delivering Trusted Chemistry that creates better lives and helps communities thrive. That begins with how we use our science, data, and unmatched technical expertise to develop mar ...

Experience:

3 years required

Skills:

Data Analysis, Negotiation, Procurement, Recruitment, Purchasing

Job type:

Full-time

• Manage end-to-end purchasing activities for Metal parts and Components to ensure uninterrupted production.
• Review MRP, Production schedules, Forecasts, and Inventory levels and place Purchase orders based on material requirements.
• Coordinate with Material Planning team to monitor and expedite supplier deliveries to achieve On-Time Delivery (OTD) and prevent production line shortages.
• Manage supplier PO, delivery, capacity, and performance.
• Follow up and resolve supplier issues.
• Supplier relationships with Long Term Supply Agreement and implement Supplier scorecard to drive continuous delivery improvements.
• Identify and implement Cost Reduction opportunities, including VA/VE, material optimization, process improvement, localization, supplier competition, and alternative sourcing.
• Work closely with Program, Engineering, Production, Quality, Planning, and STA to resolve technical, quality, delivery, and production issues.
• Supplier Management: Manage supplier PO, delivery, capacity, and performance. Follow up and resolve supplier issues. Supplier relationships with Long Term Supply Agreement and implement Supplier scorecard to drive continuous delivery improvements. Ensure supply base delivers world class performance to quality and delivery requirements. Pro-actively identify and escalate risks and implement corrective actions when needed to protect the business. Identity and Implement Supplier reduction program and exclude non-performing suppliers.
• Material Planning / Production: Ensure material availability according to production plan and MRP. Monitor shortages, delivery priorities, and urgent requirements. Ensure material availability according to production plan and MRP.
• Sourcing Team: Manage commercial terms and purchasing conditions for SOP phase onward. Work closely with Legal dept. to ensure compliance of the supply agreement.
• Program & Engineering: Drive "Re-Design to Cost" initiatives, in order to deliver additional cost savings and reduce number of part numbers after SOP. Coordinate technical requirements with suppliers.
• STA & Quality: Coordinate supplier quality issues, NCR, corrective actions, and replacement parts.
• Logistics / Warehouse: Coordinate shipment, delivery schedules, inventory, and urgent material requirements.
• Reporting / KPI: Monitor and report Cost Saving, Inventory, and Supplier Performance.
• Metal Commodity SME: Provide metal commodity knowledge, supplier insights, cost benchmarks, and market intelligence to the Purchasing team.
• Coordinate with Finance on supplier payment terms, payment schedules, and cash-flow requirements. Ensure PO, invoice, GRN/receipt, and payment information are aligned and accurate.
• Resolve invoice discrepancies, price differences, credit/debit notes, and payment issues with suppliers and Finance.
• Coordinate supplier account setup and master data requirements. Support Finance in accrual, outstanding PO, and month-end closing activities.
• Monitor and resolve supplier payment delays that may impact supply continuity.
• Provide Finance with updated purchasing prices, contracts, and commercial conditions for financial control.
• Support budget, cost-saving, and purchasing spend analysis for the assigned metal commodity.
• Education/Certification;.
• Bachelor's degree in Engineering, Supply Chain Management, Business Administration, or a related field.
• Strong understanding of the automotive parts manufacturing processes, materials (metal and non-metal), and quality standards such as IATF 16949.
• Ability to read and interpret engineering drawings, specifications, and BOMs (Bill of Materials).
• Familiarity with APQP (Advanced Product Quality Planning), PPAP (Production Part Approval Process), and other automotive quality standards.
• Proficiency in MS Office (especially Excel for data analysis), ERP systems (like SAP), and procurement software.
• Strong negotiation skills and ability to build and maintain supplier relationships.
• Effective cross-functional collaboration with engineering, quality, and logistics teams.
• Proven experience in procurement or purchasing roles, preferably within manufacturing or automotive industries.
• Willingness and ability to work overseas or travel internationally as required.
• Detail-oriented with strong organizational skills.
• Fluent English is required.
• Proven experience in procurement or purchasing roles, preferably within manufacturing or automotive industries.
• Willingness and ability to work overseas or travel internationally as required.
• Strong communication and negotiation skills.
• Proficient in MS Office, especially Excel.
• Ability to work independently and as part of a team.
• Detail-oriented with strong organizational skills.
• RMA Group is an equal opportunity employer, with a diverse group of colleagues globally representing different cultures, backgrounds, and beliefs. Our values of Innovation, Integrity and Endurance are embedded in what we do, and we welcome applicants who are committed to respecting diversity of thought, and in living our values on a day-to-day basis.

Skills:

Project Management, Architecture, SQL, ETL, English

Job type:

Full-time

• A Business and Data Analyst is a data analytic expert, who identify the business needs into data model, analytics, and business intelligent solutions. The job holder must be able to design, build, and implement BI solutions, with a view to driving business results.
• Key Accountabilities.
• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs ...
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.
• Additional Desirable Qualification.
• CORE Competencies.

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:

4 years required

Skills:

ERP

Job type:

Full-time

• The MIS Manager is responsible for the oversight and development of the company's complete IT infrastructure, including networks, servers, Point of Sale (POS) systems, and Enterprise Resource Planning (ERP) systems. This role is crucial for analyzing data to support key business decisions.
• You will lead the IT team in managing various projects, ensuring data security, and providing technical support to all users, guaranteeing that our technology fully supports the company's business objectives.
• Develop and implement a comprehensive MIS strategy aligned with business goals.
• Oversee the integration of data from POS, ERP, CRM, e-commerce, and supply chain systems.
• Define and enforce data governance standards to ensure data integrity and consistency across stores and channels.
• Plan, design, and manage the entire corporate network, server, and database infrastructure to ensure high stability and availability.
• Oversee and enhance core retail business systems, including POS, Warehouse Management Systems (WMS), and ERP, to optimize performance.
• Manage data backup procedures and develop a Disaster Recovery Plan to ensure business continuity.
• Manage databases for sales, customer, and inventory data.
• Develop reports and dashboards using Business Intelligence tools (e.g., Power BI, Tableau) to provide actionable insights to management for strategic decision-making (e.g., sales analysis, customer behavior, promotional effectiveness).
• Lead IT projects from requirement gathering and planning to budget control and timely delivery.
• Coordinate with vendors for the procurement, negotiation, and implementation of new hardware and software.
• Establish and enforce IT security policies and measures to protect company data and systems, ensuring compliance with relevant standards and regulations (e.g., GDPR, PDPA).
• Lead, mentor, and develop the skills of the MIS team members.
• Supervise the IT Support/Helpdesk service to provide effective technical assistance to employees at the head office and retail branches.
• Bachelor's Degree or higher in Computer Science, Information Technology, or a related field.
• A minimum of 7-10 years of experience in MIS or a related IT field.
• At least 3-5 years of experience in a management or team leadership role.
• Crucially, direct experience in the retail, FMCG, or a multi-branch business environment is highly preferred.
• Expertise in managing Windows Server, Networks (LAN/WAN), and Virtualization (VMware/Hyper-V).
• Strong knowledge of database management (SQL Server).
• Hands-on experience with ERP systems (e.g., SAP, Microsoft Dynamics 365, Oracle) and retail POS systems.
• Proficiency in using Business Intelligence (BI) tools to create reports and dashboards.
• Solid understanding of IT security principles and data protection regulations.
• Strong leadership and team management abilities.
• Excellent project management, planning, and budgeting skills.
• Exceptional communication and interpersonal skills.
• Effective analytical and problem-solving capabilities.
• Proactive, innovative, and eager to learn new technologies.

Experience:

3 years required

Skills:

Architecture, Big Data, Teamwork, SQL, ETL

Job type:

Full-time

• Data management developer is responsible for.
• the.
• successful delivery of business.
• intelligence information to the entire organization and is experienced in BI.
• development and implementations.
• Design stable, reliable and effective data.
• architecture and data mart.
• Understanding of BI best practices and be able.
• to create relational structures, dimensional data modeling, structured query.
• language (SQL) skill, data warehouse and reporting techniques, performing ETLs.
• and validating results with business representatives.
• monitoring and tuning queries and data loads, addressing user questions.
• concerning data integrity, monitoring performance and communicating functional.
• and technical issues.
• Bachelor or Master Degree in Computer.
• Engineering, Computer Science, Technology information systems, or any other IT.
• related field.
• At least 3 years of experiences in data.
• warehousing development and architecture hands-on physical/logical database and.
• data mart design, experience in big data is advantage.
• Strong SQL development skills -- knowledge of.
• writing complex queries, and query tuning.
• Experience data processing with ETL/BI tools.
• Good communication, collaboration skills and.
• teamwork.