Job Responsibilities 工作內容

• Handle Delivery Orders (DO) & invoices etc

處理送貨單及發票

• Data entry and record keeping

資料輸入與資料整理

• Communicate with customers

與客戶溝通聯繫

• Provide customer service support

提供客戶服務支援

• Monthly Inventory Reconciliation 庫存核對

Requirements 任職要求

• Basic accounting knowledge preferred

具備基本會計知識優先

• Basic computer skills (Microsoft Office)

會基本電腦操作（如Microsoft Office）

• Responsible, detail-oriented

做事細心、有責任感

• Able to communicate with customers

不怕與客戶溝通

福利待遇

• 定期團隊活動
• 個人休假
• 個人發展機會

職位描述

我們正在尋找一位可靠且精通多種語言的客服文員，負責處理客戶諮詢和行政事務。如果您做事有條理且樂於助人，請立即申請。

為什麼要加入我們？

• 固定工作時間：上午 8:30 至下午 6:00，週日至週四。
• 社區：在亞羅士打（Mergong 2）中心地帶工作。
• 包容性：一個真正重視您的多語言技能的職位。

要求：

• 最低學歷要求為SPM（馬來西亞教育文憑）。
• 至少一年有類似崗位的工作經驗。
• 具備基本的電腦知識（資料輸入、電子郵件等）。
• 能夠流利地使用英語、馬來語和中文進行溝通，以支持我們多元化的客戶群。

Requirements : 

• A general car driver's license is required
• Able to complete work independantly, sense of responsibility
• Provide training
• Monday to Friday : 8.30am - 6pm
• Saturday : 9am - 1pm
• Patience/good attitude
• Key in/Filling

要求：

• 語言-英語中文馬來語
• 須有普通車駕駛執照
• 能獨立完成工作，責任感
• 提供訓練
• 週一至週五：8.30am-6pm
• 星期六：9am-1PM
• 耐心/良好的態度

Perks & Benefits

• Medical
• Parking
• Career Development
• Monthly Rm100 Bonus Reward
• Casual dresscode

Requirements : 

• A general car driver's license is required
• Able to complete work independantly, sense of responsibility
• Provide training
• Monday to Friday : 8.30am - 6pm
• Saturday : 9am - 1pm
• Patience/good attitude
• Key in/Filling

要求：

• 語言-英語中文馬來語
• 須有普通車駕駛執照
• 能獨立完成工作，責任感
• 提供訓練
• 週一至週五：8.30am-6pm
• 星期六：9am-1PM
• 耐心/良好的態度

福利待遇

• 醫療的
• 停車處
• 職涯發展
• 每月100令吉獎勵
• 休閒著裝要求

Responsibilities:

• Liaise closely between Project Site and HQ on all the letters and correspondents
• Handle Reports, General correspondence, Email, Data entry, Document control and others daily routines
• In charge of all documentations and filing
• Assist Superior to follow-up on work documents
• Miscellaneous errands as assigned by superior
• Attend the site meeting if required

Requirements:

• Proficient in Microsoft Office

Perks & Benefits

• Employee equity
• Central location
• Open culture
• Personal development opportunities

加入我們不斷成長的製造團隊，與我們一起發展您的職業生涯！

工作職責：

• 每日系統檢查客戶採購訂單（PO）
• 審核新的客戶需求和技術圖紙
• 準備貨運單據並安排貨運預訂
• 監控客戶未完成訂單，防止逾期交貨
• 處理客戶投訴並協調解決方案
• 支援銷售及行銷活動及協調任務
• 履行與銷售營運相關的日常行政職責

要求：

• SPM 或以上文憑
• 1-2年行政、物流或銷售協調經驗（應屆畢業生亦可考慮）
• 對文件和協調流程有基本的了解
• 良好的溝通和解決問題的能力
• 能夠獨立工作，也能團隊合作。
• 精通微軟辦公室軟體（Excel、Word）
• 能說寫英語、馬來語和漢語

福利待遇

• 開放文化
• 個人發展機會
• 5個工作天

關鍵能力

• 領導力與團隊管理
• 分析思維
• 基於風險的思維
• 持續改進的心態

請在線申請或將簡歷發送至： purchase@geenscrew.com或透過 WhatsApp 聯繫 Joanne (012-6372688)

Responsibilities:

• Maintain proper record and organisation of filling system.
• Responsible for day-to-day accounts administration tasks.
• Helping at the receiving area for loading and unloading.
• Any other ad hoc assignment.

Requirements:

• Experienced in Accounting Assistant or Accounting Clerk.
• Possess good knowledge of basic bookkeeping procedures.
• Familiar with accounting standards and filling procedure.
• Advance level in MS Excel and good knowledge of accounting software - SQL SYSTEM.
• Organisation and multi-tasking skills.

Perks & Benefits

• Nearby public transport
• Central location
• Casual dress code
• Company trips

職責：

• 保持檔案系統的良好記錄和組織。
• 負責日常帳戶管理工作。
• 在收貨區協助裝卸貨物。
• 其他任何臨時性任務。

要求：

• 有會計助理或會計文員經驗。
• 具備良好的基本簿記程序知識。
• 熟悉會計準則和申報程序。
• 精通 MS Excel，並具備良好的會計軟體知識 - SQL 系統。
• 組織能力和多任務處理能力。

福利待遇

• 附近公共交通
• 中心位置
• 休閒著裝要求
• 公司旅行

Provides comprehensive administrative and operational support for the Entity. This role is responsible for ensuring smooth day-to-day Entity activities by handling general office administration, oversee maintenance, managing documentation, coordinating activities, supporting purchasing and finance processes.

Key Responsibilities

• Provide overall administrative support for the entity’s daily activities and general affairs - Oversee office and lab facilities maintenance, as well as supplies management
• Manage entity fixed assets, including inventory checks and scrap disposal
• Handle purchasing activities such as raising PR/POs and tracking approvals
• Support finance-related tasks, including invoice handling, documentation tracking, and staff claims
• Assist the Admin Manager with entity compliance and audits

The Reference Data Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories (e.g. Beverages, Food, Health and Beauty Products). As a Reference Data Specialist  at NielsenIQ, you create and deliver client outputs in a correct and timely manner.

• Responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories.
• Does cross coding and item-related quality checks on a daily basis
• May act as a back-up to other coders when needed; Keep track/document special instructions related to category assignment
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Ensure accuracy throughout the process, from validation before database setup to managing samples, and identify areas for improvement
• Answer external questions and act as a liaison with everyone from clients to stakeholders; To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Willing to be trained to be a category expert

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup into a trusted partner for some of Australia’s most complex data transformations. We’ve helped organisations move from legacy to modern cloud platforms, embed governance into decision-making, and bring AI into the hands of business users - responsibly and at speed.

Now, as we scale into Southeast Asia, we’re looking for a Data Engineer who’s passionate about modern, cloud-agnostic data platforms and building analytics-ready solutions on Snowflake. This is your chance to work on high-impact projects across the region and help shape how data is built, modelled, and used to drive meaningful outcomes.

About the Role

We’re seeking a hands-on Data Engineer with strong experience across cloud-agnostic data platforms, focusing on Snowflake, to design, build, and optimise data pipelines for clients across Southeast Asia and APAC.

You’ll be part of an integrated Intelligen consulting team, working closely with our architects, senior consultants, and client-side technical stakeholders. This role is ideal for engineers who are hands-on, delivery-driven, and comfortable working in fast-moving, iterative project environments.

What You’ll Do

• Design and build data pipelines across cloud environments (AWS, Azure, and/or GCP)
• Build and optimise data solutions in Snowflake
• Develop robust ETL/ELT solutions and data models to support enterprise analytics
• Optimise performance, scalability, and reliability across cloud data architectures
• Work closely with business stakeholders to translate needs into technical outcomes
• Contribute to data governance, quality, and lineage initiatives
• Collaborate with cross-functional teams across Australia and APAC
• Support pre-sales, technical design sessions, and proof-of-concept (POC) work

• 3–5+ years’ experience in data engineering roles
• Solid Snowflake experience is essential, including schema design, performance tuning, and warehousing best practices
• Strong, hands-on ETL expertise
• Ideally experience with SQL, data modelling (dimensional/domain), and modern data stack tooling.
• Ability to operate in “doer mode”, comfortable rolling up sleeves and delivering quickly in line with agreed standards
• Consulting experience is a plus but not required; strong communication and problem-solving skills are essential.
• Ability to deliver independently within a structured consulting engagement.

Purpose of the role – mission: The Data Scientist role is responsible for designing and managing universe studies, setting up the extrapolation for Retail Panels, documenting methodologies, ensuring quality assurance, and monitoring key performance indicators (KPIs) related to Panel Health. This role requires a strong background in data analysis, statistical modeling, and quality control processes as well as strong production system processes for PoS. This role supports the China market.  

Key activities:  

• Methodology and Universe Studies: Design and manage universe studies, including project management.  

• Document methodologies for transparency and provide clear explanations of existing methods.  

• Review results of universe studies and insert changes in the POS Manager.  

• Conduct impact analysis of universe studies.  

• Design and simulate extrapolation setups for new panels and sign off on the designs.  

• Quality Assurance: Optimize samples by analyzing shop contributions, detecting MDQC (Market Data Quality Check) outliers, meeting target sample requirements, and addressing issues like empty shops and slow sales.  

• Detect and address systematic methodological issues and prepare cleanup impacts for critical findings (end-to-end).  

• Modeling and Extrapolation: Model missing retailers completely outside the system and maintain complex models.  

• Support the setup of modeling missing retailers in the system and hand over to Stat Ops for ongoing maintenance and execution.  

• Implement new country-channel setups, including reviewing channel definitions, designing universes and samples, and providing setup instructions.  

• Quality Monitoring: Resolve Level 2 methodology clarification issues.  

• Monitor KPIs and conduct root cause analysis (RCA) for panel health, focusing on samples, missing retailers, universes, copy shops, and MDQC related to samples and extrapolation.  

• Define and specify improvement points for panel health.  

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive convergence of processes and tools 

• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices 
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction 
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

• Manage Lockout/Tagout (LOTO) procedures and ensure compliance across all contractors.
• Act as the primary liaison between construction, commissioning, and operations teams regarding energy safety.
• Review and approve energy isolation plans and permits.
• Conduct field inspections and audits to ensure adherence to safety protocols.
• Stop unsafe work practices and enforce OSHA and NFPA 70E standards.
• Monitor and report on energy usage and performance metrics.
• Validate mechanical and electrical system performance during commissioning.
• Assist in implementing energy-saving strategies and sustainability best practices.
• Maintain detailed records of energy control activities and compliance metrics.
• Train and mentor teams on electrical safety and energy isolation procedures.

Act as the key local expert and lead user for planning-relevant master data, ensuring high consistency, quality and reliability of data used in Blue Yonder to support holistic planning of the semiconductor production network.

Serve as a critical interface between business, specialty departments, IT, and external IT service providers, driving further development, stabilization and continuous improvement of master data and planning IT solutions.

Utilize cost advantages of LCL.

• Drive end‑to‑end planning master-data quality and governance, ensuring reliable, usable data across business functions
• Act as technical lead for analytics and data solutions (Power BI, SQL Oracle/MSSQL, KNIME, databases, web/UI tools)
• Responsible for maintenance and enhancement of master data applications and UIs (e.g. Tivity) aligned with business needs
• Drive dashboards and advanced analytics to enable planning excellence, transparency, and self‑service insights
• Lead root cause analysis of complex data issues, implementing sustainable, preventive solutions
• Define, monitor and improve data governance frameworks, validation rules, workflows, KPIs and operating models
• Identify data quality trends and drive automation, structural improvements and scalability
• Ensure data solutions effectively support planning processes (demand planning, logistics interfaces, master data flows)
• Manage global and local stakeholder expectations, priorities and dependencies with clear, business‑oriented communication
• Motivate and develop the team by setting technical standards, best practices and ways of working
• Foster a culture of ownership, continuous improvement, analytical thinking and knowledge sharing
• Lead and contribute to PJM1‑SO projects, driving innovation, efficiency and advanced analytics adoption

Get to Know the Team

The Integrity team is dedicated to safeguarding our users on Grab. We are building a centralized, unified Risk and Compliance technology platform using Grab's proven risk and compliance tech, GrabDefence. We use our datasets and advanced AI capabilities to address critical challenges, from ensuring safety and preventing fraud to achieving regulatory compliance. We are involved in the entire data lifecycle, including analyzing user behavior, identifying financial crime anomalies, and developing detection and prevention modules across user onboarding and transaction journeys.

Get to Know the Role

Reporting to the Senior Analytics Manager in the Integrity team, you will be a key analytics partner in operationalizing the Unified Risk Platform that manages risk across the Grab Ecosystem. You will conduct deep-dive analysis on user behaviors, product funnels, and transaction patterns to identify potential risks and new fraud typologies on our partner platforms. Your data-driven insights will directly guide the design of risk detection strategies, the optimization of shared AI/Machine Learning models, and the implementation of crucial risk controls to safeguard a diverse user base from multiple types of fraud and financial crime.

This role is based onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• You will be the subject matter expert in using data to analyze fraud loss, business/product performance, and the effectiveness of risk controls across different Grab business verticals.
• You will lead the identification of new fraud and risk patterns, developing data-driven rules and strategies to address potential risks using advanced methods like Graph-Based Detection.
• You will conduct statistical analyses to ensure the accuracy and efficiency of detection systems, maintaining data and rule integrity.
• You will architect automated self-serve capabilities for stakeholders to monitor key risk metrics, attack patterns, and the efficiency of fraud/AML detection systems.
• You will collaborate with Grab business teams to support data extractions, audits, and compliance requirements, ensuring all necessary data is provided for assessments.
• You will conduct experiments to evaluate the effectiveness of risk controls and recommend improvements based on findings.

We are looking for a curious and motivated Junior Data Management Engineer with foundational experience in machine learning, Computer Vision and GenAI  to join our growing data team. This role is perfect for someone early in their career who is eager to contribute to data engineering tasks while gaining hands-on exposure to machine learning workflows. You'll help ensure data pipelines are optimized for analytics and ML model development, supporting both operational and strategic decision-making. 

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work with multiple stakeholders to identify, diagnose and resolve manufacturing process related problems such as quality excursions, manufacturing excellence and cost improvement. 
• Apply computer vision algorithms to inspect production lines for defects, improve yield, and enhance overall quality control. Leverage techniques such as object detection, image segmentation, and defect localization to identify issues early in the manufacturing process. 
• Build, train, and validate machine learning models to address complex manufacturing challenges, such as defect detection, process optimization, and performance prediction. 
• Able  to deploy trained models into production environments, including APIs, edge devices, or embedded systems. Ensure seamless integration with manufacturing systems and establish real-time monitoring for model performance. 
• Design and develop scalable GenAI applications using LLMs tailored to manufacturing use cases.

Role Summary 

The CSA Cost Manager will be responsible for delivering full lifecycle cost management services for the Civil, Structural & Architectural (CSA) packages on a large‑scale data centre development.

This role focuses on ensuring cost certainty, commercial control, and value optimisation across complex base‑build works, including substructure, superstructure, building envelope, and architectural elements. You will work in a fast‑paced, mission‑critical environment, collaborating closely with project teams, consultants, and contractors.

Key Responsibilities

Cost Planning & Pre‑Contract Management

• Prepare and manage cost estimates, feasibility studies, and detailed cost plans for CSA works.
• Provide cost advice during design development on structural systems, construction methods, and architectural elements.
• Benchmark costs and identify value engineering opportunities to optimise project outcomes.

Procurement & Tendering

• Prepare tender documentation and commercial deliverables for CSA trade packages.
• Manage tender processes including pre‑qualification, tender analysis, evaluation, and recommendations.

Post‑Contract Cost Management

• Manage change control processes, including variation assessments and cost impact analysis.
• Review and certify contractor progress payments.
• Monitor cost performance and maintain accurate forecasts and records.
• Support final account negotiation and project close‑out.

Reporting & Financial Control

• Prepare regular cost reports, forecasts, and financial updates.
• Identify cost risks, trends, and mitigation measures.
• Ensure alignment with project budgets and financial governance requirements.

Stakeholder Coordination

• Work closely with Project Managers, consultants, contractors, and client representatives.
• Participate in design, coordination, and site meetings, providing commercial input for CSA scope.
• Coordinate closely with MEP teams to ensure integrated project delivery.

Governance & Risk Management

• Ensure compliance with project governance, procedures, and reporting standards.
• Identify and manage project cost risks proactively.
• Maintain transparency and accuracy in all cost management deliverables.

• Conduct routine inspections of mechanical or electrical installations (HVAC systems, chilled water piping, generator systems, switchgear, UPS, cabling, etc.)
• Ensure all works are executed in accordance with design drawings, technical specifications, and applicable codes
• Monitor contractor activities and verify quality of workmanship
• Identify non-conformances and ensure corrective actions are implemented
• Witness and verify testing & commissioning activities (FAT/SAT, pre-functional, functional testing)
• Maintain detailed inspection records, reports, and documentation
• Coordinate with project managers, consultants, and contractors to resolve technical issues
• Ensure compliance with safety standards and project QA/QC procedures
• Support handover documentation and final acceptance processes

• Lead and manage all CSA construction activities on-site for the data center project
• Oversee earthworks, substructure, superstructure, architectural, and finishing works
• Coordinate with design consultants, contractors, and project stakeholders
• Ensure CSA works align with MEP coordination, interfaces, and sequencing requirements
• Review and manage construction drawings, method statements, and shop drawings
• Monitor project progress, schedules, and budgets for CSA packages
• Ensure compliance with local authority regulations, building codes, and project specifications
• Implement and enforce quality assurance and quality control (QA/QC) processes
• Ensure strict adherence to health, safety, and environmental (HSE) standards
• Conduct site inspections, manage defects, and support handover and close-out activities

• Lead and manage all MEP construction activities on-site for the data center project
• Coordinate with consultants, contractors, vendors, and stakeholders to ensure project alignment
• Oversee installation, testing, and commissioning (ITC) of mechanical and electrical systems
• Ensure compliance with project specifications, design drawings, and international standards
• Monitor project timelines, budgets, and resource allocations
• Identify and mitigate risks related to MEP works
• Conduct regular site inspections and progress reporting
• Drive quality control and assurance processes across all MEP disciplines
• Ensure strict adherence to health, safety, and environmental (HSE) regulations
• Support client meetings, technical reviews, and project updates

• Implement and monitor site-specific HSE policies and procedures in line with local regulations and project requirements
• Conduct daily site inspections, audits, and safety walkabouts to identify hazards and ensure compliance
• Lead toolbox talks, safety briefings, and training sessions for site personnel and subcontractors
• Ensure proper use of PPE (Personal Protective Equipment) and enforce safety protocols at all times
• Investigate incidents, near-misses, and accidents, and prepare detailed incident reports and corrective actions
• Coordinate with project managers, engineers, contractors, and clients to maintain a safe work environment
• Oversee high-risk activities such as working at heights, confined spaces, electrical works, and chemical handling
• Maintain and update all safety documentation, permits-to-work, and compliance records
• Support emergency response planning and drills

We’re growing our onboarding and data implementation capabilities as more clients move onto MUFG’s platform, and we need someone who can take ownership of this critical work. In this role, you’ll lead the setup and migration of fund and client data, making sure everything is accurate, compliant, and delivered on time.

You’ll work closely with teams across the business to bring new funds live smoothly and improve how we do things along the way. Your work will directly shape the client experience at one of the most important moments in their journey with us.

What You’ll Own

• Lead end-to-end system setups and static data configuration for new fund launches and client onboarding
• Manage complex conversions, including data migration, reinitialization, and system reconfiguration
• Build and maintain accurate fund structures using offering documents and best practices
• Analyze NAV and share registry data to identify and resolve discrepancies before go-live
• Coordinate conversion plans and timelines with internal teams, keeping everyone aligned and informed
• Champion data quality by ensuring all setups meet internal standards and regulatory requirements (ISAE/SOC)
• Create and refine standard operating procedures to simplify and scale onboarding processes
• Partner with Technology and Product teams to automate and improve how client and investor data is managed

#LI-Hybrid

The Data Processing Specialist is responsible for instructions of client deliverables, coding and data input validation focusing on specific industry/category or set of categories. To create and deliver client outputs in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues.
• This role is to support Korea Market.