Total 4,639 Others data entry job vacancies

About the Company

Our client is a leading fire protection systems provider for construction worldwide.

Key Responsibilities

• Track, identify, and analyze business trends
• Achieve annual financial targets, including sales revenue and EBIT
• Participate in industry events, workshops, exhibitions, and other company functions as required
• Define the global strategic plan for customer segments and markets
• Identify, develop and manage strategic partnerships with customers, partners and suppliers
• Propose and negotiate contract terms with clients

Key Requirements

• Degree in Electrical / Electronics / Mechanical Engineering
• Min 6 years of sales experience in fire protection systems / products / solutions
• Experience in data centre / new energy environment will be a plus
• Connection / Network with M&E consultancy & LTA or other relevant authority will be a plus
• Comfortable to travel to S.E.A countries for work assignment (around 40%)

If you are interested in the position , kindly send your CVs in to yitwei.kwan(@)randstad.com.sg

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

Are you ready to unleash your potential?

At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. 

We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society’s biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. 

Hence, we seek talented individuals driven to excel and innovate, working together to achieve our shared goals. 

We are committed to creating positive work experiences that foster a culture of respect and inclusion, where diverse perspectives are celebrated, and everyone is recognised for their contributions.

Ready to unleash your potential with us? Join the winning team now!

Work you will do

This role sits within the Artificial Intelligence & Data team of Deloitte Southeast Asia, a group that leverages modern AI, machine learning, and data technologies to solve complex business challenges. As a leader in this space, you will drive the strategy, development, and delivery of AI-powered solutions across industries, focusing on Generative AI, agent-based AI, large language models (LLMs), and advanced data ecosystems.

You will be instrumental in guiding clients through their AI transformation journeys—from data readiness and governance to model deployment and enterprise-scale adoption—by building secure, scalable, and ethical AI solutions using the latest platforms from OpenAI, Microsoft Azure, Google Cloud, AWS, and other emerging leaders in the AI ecosystem.

As a Leader, you will:

Lead multidisciplinary teams in delivering AI transformation programs that embed advanced technologies, including LLMs, AI agents, and decision intelligence—into core business operations.

Design and scale intelligent systems using GenAI models (e.g. GPT, Claude, Gemini) for enterprise applications such as knowledge management, synthetic data generation, autonomous agents, and customer experience automation.

• Partner closely with clients to assess data and AI maturity, define responsible AI strategies, and design AI operating models aligned with business goals and regulatory standards.
• Ensure data and model governance, security, lineage, and ethical use of AI are embedded in all implementations, supporting compliance with evolving global standards.
• Develop thought leadership, lead proposal development, and identify market opportunities to expand Deloitte’s presence in the AI and data space across Southeast Asia.
• Mentor and grow a high-performing AI & Data team, fostering innovation and capability development in emerging AI technologies.

You must have strong implementation experience in one or more of the following areas:

1. AI and GenAI Platforms: Hands-on experience designing, deploying, or fine-tuning models on platforms such as OpenAI (Azure OpenAI Service), Google Vertex AI, AWS Bedrock/SageMaker, or Hugging Face. Familiarity with orchestration tools like LangChain, Semantic Kernel, or crewAI is highly valued.
2. Data Engineering & Real-time Data Pipelines: Building robust data architectures to support AI and analytics at scale using tools like Databricks, Snowflake, Google BigQuery, AWS Redshift, Azure Synapse, or Delta Lake. Integration experience with streaming data platforms (e.g., Kafka, Kinesis, Pub/Sub) is a plus.
3. Modern BI & Decision Intelligence: Developing real-time, interactive dashboards and executive decision platforms using tools such as Power BI, Looker, Tableau, ThoughtSpot, or Amazon QuickSight—often in combination with embedded AI insights.
4. AI Model Ops and Lifecycle Management: Experience with full model lifecycle—training, monitoring, retraining, and scaling—using MLOps platforms such as MLflow, Azure ML, Vertex AI Pipelines, or AWS SageMaker Pipelines.
5. Data Readiness & Governance for AI: Deep expertise in data governance frameworks (e.g., DAMA, DCAM), metadata management, master data management (MDM), and data privacy/security best practices that ensure high-quality, trustworthy data for AI use.
6. Responsible & Ethical AI: Knowledge of implementing responsible AI frameworks including bias mitigation, explainability, fairness, auditability, and alignment with governance standards such as ISO 42001, NIST AI RMF, and emerging regional regulations.

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Managers across our Firm are expected to:

• Understand the goals of Deloitte, align our people to these objectives by setting clear priorities and direction by establishing a positive relationship with a senior stakeholder.
• Influence teams, and individuals positively. Lead by example and provide equal opportunity for people to grow, develop and succeed.
• Delivers exceptional client service. Maximizes results and drives high performance from people while fostering collaboration across businesses and geographies.
• Manage diverse teams within a highly inclusive team culture where people are respected and valued for their contribution.
• Develop high-performing teams through challenging and meaningful opportunities and recognize them for the impact that they make.

• Business Development - Participate in all aspects of the proposal development cycle; contribute to the development of proposal technical content; participate in the development of sales presentation or market positioning material.
• Engagement Management - Manage a project or program team; develop work plans for the engagement; determine the client needs by selecting and applying appropriate approaches, tools, and techniques to the client's business.

• Practice Development & Eminence-- Participate in the development of market-valued intellectual capital; contribute to the development of practical solutions and methodologies; participate in third parties and partners relationship building.

Requirements

• A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Minimum of 15 years of relevant experience in the consulting industry with solid experience in the sales cycle and in leading project teams
• Strong experience directly interfacing with senior business and IT stakeholders for clients.
• Strong commitment to professional client service excellence.
• Ability to work independently, to work in a fast paced and demanding environment
• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
• You have strong understanding of either structured and unstructured data mining, visualisation and analytics or Intelligent Automation
• Drive, tenacity, entrepreneurship, client focused and results oriented. You enjoy working methodically and with a great attention to detail.
• Excellent interpersonal relations and demonstrated ability to work with others effectively in teams.
• Superior verbal and written communication skills including a proven track record in developing and conducting interviews, focus groups and presentations.
• Strong business acumen with the ability to develop and present new ideas and conceptualise new approaches and solutions.

Due to volume of applications, we regret that only shortlisted candidates will be notified.
 

Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

As a Senior Data Engineer, you will be working on:

• Translate data requirements from business users into technical specifications.

• Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

• Build out data product as part of a data team:

• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

• Construct, test, and update useful and reusable data models based on data needs of end users.

• Design and build secure mechanisms for end users and systems to access data in data warehouse.

• Research, propose and develop new technologies and processes to improve agency data infrastructure.

• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. • Maintain data catalogue to document data assets, metadata and lineage.

• Implement data quality checks and validation processes to ensure data accuracy and consistency.

• Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

about the job. An exciting opportunity has arisen for a technical specialist to spearhead the development and maintenance of cutting-edge data architecture and next-generation intelligence tools.

• Drive the design, deployment, and optimization of corporate analytics repositories and cloud-native architecture.

• Build and integrate highly scalable pipelines for data transformation, ingestion, and storage using cloud services.

• Oversee data quality, security protocols, governance frameworks, and overall infrastructural reliability.

• Conceptualize and implement advanced language model applications, cognitive assistants, and automated workflow solutions.

• Monitor industrial trends to implement modern digital capabilities and optimize current organizational operations.

skills and experience required.

- Strong hands-on experience in ETL/ELT pipeline development
- Proficient in data transformation, cleaning, and modeling
- Good experience with SQL and working with large datasets
- Familiar with Airflow, AWS Glue ,S3 , Redshift , Lambda
- Experience working with LLMs (e.g. OpenAI, Claude, or QWEN)

To apply online please use the apply function, alternatively you may contact Chloe Chen at chloe.chen(@)randstad.com.sg. (EA: 94C3609 /R1768253)

Responsibilities

• Create, update, and maintain client reference data within the system
• Scan, archive, and manage client onboarding and periodic review documentation
• Perform mark-to-market valuation and pricing of securities
• Assist with ad-hoc duties as assigned

Requirements

• Minimum 1 to 2 years experience in Static data management

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

M&E Project Engineer Cum Drafter (Data Centre)

• Up till $4000 basic + Variable Bonus

• Working Location: Bendemeer

• Working Days/Timings: Monday to Friday – 8am to 5pm AND Saturday – 8am to 12pm

Roles & Responsibilities

You will be responsible for drafting for construction project, these includes AutoCAD 2D and Revit 3D modelling. You must have experience in drafting for mechanical and electrical systems.

• Autocad 2d And Revit 3d Drafting For M&E Systems

• FSSD Authorities’ Submissions

• Assist Project Engineer And Reporting To Project Manager

Requirements:

• 1 year experience in Data Centre Construction project

• Revit Mep, AutoCAD And Microsoft Office Suite

This will be a 2-years direct contract position.

Responsibilities

• Data science developments.
• Lead project scoping discussions.
• Translate complex business requirements into technical solutions.
• Design, implement, and optimise end-to-end ML/AI solutions with improved performance and scalability.
• Systematically benchmark and evaluate multiple approaches, applying advanced techniques to solve complex business problems.
• Architect scalable solutions using cloud-based services and best practices, and design and implement robust data pipelines and LLM/MLOps workflows that improve efficiency and reduce operational costs.
• Deploy models to production environments with comprehensive monitoring, alerting, and maintenance procedures.
• Champion responsible AI practices, proactively identifying and mitigating ethical and governance risks.
• Collaborate with peers and stakeholders to ensure tasks are executed effectively, addressing minor conflicts constructively and respectfully, and suggesting improvements that enhance team effectiveness.

Requirements

• Bachelor's degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science, or related disciplines. Minimum 2 years of relevant experience in data science and/or public sector.
• Able to business use cases into analytical problems and identifying appropriate data sources.

Proficient in

• Writing scripts for data preparation and analysis, using modern analysis tools and programming methodologies.
• cleaning, imputing, and correcting anomalies in the collected structured or unstructured data.
• Exploring and analysing datasets, applying probability and statistical methodologies and techniques to discover insights from the data.
• Building machine learning models to identify, recognise patterns, and make predictions.
• Design principles and use of visualisations to best convey the intended information.
• Developing data visualisation from standalone graphs and charts on to highly customised tools and apps while tightly integrated into the data systems for real time visualisation of information.
• Translating results from analysis of work into actionable recommendations for stakeholders.
• Communicating results and business impact from analysis work in a coherent data story for stakeholders.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Key Responsibilities

• Develop and implement data analytics solutions to convert raw structured and unstructured data into meaningful insights.
• Apply data mining, data modeling, machine learning, and natural language processing (NLP) techniques to solve business challenges.
• Design and maintain scalable data pipelines, ETL processes, and data platforms to ensure data quality, accessibility, and reliability.
• Build dynamic dashboards, reports, and visualizations to communicate key findings and support decision-making.
• Establish data governance frameworks, data standards, metadata management, and asset catalogs to improve data consistency and compliance.
• Collaborate with cross-functional stakeholders to deliver data-driven solutions and optimize business processes.
• Evaluate emerging AI technologies and implement innovative solutions that enhance operational efficiency and business performance.

Preferred Qualifications

• Master's degree or above in Computer Science, Data Science, Engineering, Statistics,  Business Analytics or a related field.
• Proven experience in Data Engineering, Data Analytics, Machine Learning, AI Applications, or Data Governance.
• Strong proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI.
• Experience building ETL pipelines, data lakes, APIs, and large-scale data platforms.
• Solid understanding of machine learning, predictive analytics, data modeling, and NLP techniques.
• Excellent analytical, problem-solving, and stakeholder management skills.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518

Reporting into the Supply Chain Services Manager, Supply Chain Services Team is responsible for the design, deployment and adherence to key systems, tools and processes used by our client’s Global Supply Chain Teams. As a key member of this dedicated team, you’ll play a vital role in managing and enhancing these systems and processes, ensuring that they effectively empower our client’s Global Supply Chain operations.

As a key member of the team, you will ensure the seamless operation and improvement of our client’s Supply Chain Services Programs. Reporting directly to Supply Chain Services as an individual contributor, you will play a pivotal role in maintaining, supporting, and advancing our client’s applications.

Job Responsibilities

Maintenance and Support

• Develop new and maintain or update existing Power Apps and Power Automate flows for peak performance.

• Keep a close eye on application health, addressing issues swiftly and implementing enhancements.

• Identify and evaluate opportunities for improvement, ensuring accuracy in data and reports.

Issue Resolution

• Provide expert assistance to associates using Power Apps, Power Automate flows, Power BI, and SharePoint.

• Diagnose and resolve application issues promptly, documenting solutions for future reference.

User Training and Documentation

• Empower associates by training them on Supply Chain tools and applications.

• Develop and maintain user guides, FAQs, and conduct training sessions to ensure user proficiency.

Collaboration

• Work closely with the Program Lead to align on application requirements and updates.

• Participate in team meetings, contributing to the enhancement of processes and tools.

Compliance

• Ensure all activities comply with company policies and procedures.

Requirements:

• Proficiency with Power BI, Power Apps, and Power Automate.

• Innovative approach to solving complex enterprise challenges.

• Ability to convey technical information to non-technical users.

• Meticulous approach to data accuracy and application performance.

• Good foundational skills in HTML/CSS.

• Deep understanding of best practices in database management.

• Skills in SQL DB, Data Engineering, Data Analytics & python programming.

• Excellent stakeholder management and communication abilities.

• Solid grasp of analytical tools.

• Quick learner, adept at adjusting to new technologies and requirements.

• Knowledge of key business processes within supply chain is a plus.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions.

As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We currently have an opening for a Capacity Engineer (Data Center) role for our client in Singapore which is a leading global investment bank. The Data Centre Capacity Engineer is responsible for capacity planning and management across data centres and network equipment rooms.

This role ensures sufficient space, power, and cooling are available to support current operations and future growth, while maintaining resilience, compliance, and cost efficiency.

Key Responsibilities

Capacity Planning & Management

• Plan and manage data centre and network room capacity covering space, power, and cooling.
• Develop short‑, medium‑, and long‑term capacity forecasts based on IT demand and growth projections.
• Support phased load planning (e.g. IT load ramp‑up by phase).

Infrastructure Assessment

• Evaluate electrical infrastructure including UPS, transformers, PDUs, generators, and redundancy (N, N+1).
• Assess cooling infrastructure such as CRAH/CRAC units, chillers, and cooling towers to support projected IT loads.
• Identify capacity constraints, single points of failure, and mitigation options.

Design & Setup

• Support data centre and network room design, layout, and rack planning.
• Review and validate load calculations for electrical and cooling systems.
• Ensure new deployments align with data centre standards and best practices.

Tools & Inventory

• Maintain accurate capacity data in DCIM and asset management tools (e.g. Nlyte, Remedy).
• Validate inventory accuracy and ensure alignment between physical assets and system records.

Governance & Operations

• Support Method of Procedure (MOP) reviews related to capacity upgrades and changes.
• Work closely with Operations, Facilities, Network, Hosting, and Governance teams.
• Provide input to vendor designs, tenders, and technical reviews.

Reporting & Stakeholder Management

• Produce regular capacity reports and dashboards for management.
• Communicate risks, constraints, and recommendations clearly to stakeholders.

Required Skills & Experience

• Strong understanding of data centre power and cooling infrastructure.
• Experience in capacity planning for data centres and network rooms.
• Familiarity with redundancy concepts and resilience standards.
• Experience with DCIM and asset management tools.
• Ability to work across IT, facilities, and vendor teams.

Preferred Qualifications

• Background in data centre operations, facilities engineering, or infrastructure planning.
• Experience supporting large‑scale or regulated enterprise environments (e.g. financial institutions).

• Support General Price Increase (GPI) Exercise
• Assist in compiling monthly incentive plans for Global Customers’ GPI review.
• To clarify pricing terms.
• Maintenance of Rates
• Support rate setup or updates in Express Billing
• Maintenance of Global Agreements
• Support post-activation maintenance activities
• Update Global Customer Agreement information

Interestedapplicants can send their detailed resumes to janelui@recruitexpress.com.sgor call JANE @ 6735 1955.

JANE LUI JIE'EN

CEI: R1104482

Company Reg.No. 199601303W || EA Licence No. 99C4599

Key Responsibilities

• Plan and supervise a wide range of construction projects from start to finish
• Organize and oversee construction procedures to ensure they are completed in a timely and efficient manner
• Manage the overall implementation and completion of projects within the scheduled time, cost, and quality
• Recommend appropriate risk control measures to reduce or eliminate risks identified during assessments
• Monitor the progress of projects and update management regarding any schedule variances
• Develop, monitor, and review equipment and manpower deployment plans for project sites
• Assist in plan and specification analysis to provide clear and traceable designs and drawings for construction

Qualifications

• Bachelor’s degree or above in Electrical/Mechanical Engineering (A Master's degree is highly advantageous).
• 10+ years of DC construction / greenfield projects experience is required for the role
• Excellent knowledge of relevant rules, regulations, and quality standards
• Able to commence immediate or within a short notice period

If you are interested in the position

Please include your availability, expected salary and reason for leaving current job

We regret that only shortlisted candidates will be contacted

EA: 94C3609 / Reg: R1325913

WhatsApp: +65 90820021 (Kyler)
Email: kylergan.supreme@gmail.com

Location: Kallang (Nearest mrt: Bendemeer)
Working hours: 5 days, Mon – Fri, 8:30am – 5:45pm
Salary: $5000 to $8500 + AWS & VB

Reporting to Senior Managing Director

Job Summary:

Seeking a commercially minded and analytical Business Analytics Manager to drive data-driven decision-making and business performance across the organisation. This role will be responsible for delivering actionable insights, improving reporting and processes, analysing customer and market trends and partnering with cross-functional teams to support strategic growth initiatives.

Responsibilities:

Business Performance Management

• Analyse sales performance, profitability, inventory and operational metrics to identify trends, opportunities and risks.
• Develop and maintain management dashboards and key performance indicators (KPIs).
• Monitor business performance against budgets and forecasts and provide recommendations to improve results.
• Prepare regular business reviews and presentations for senior management

Customer & Commercial Analytics

• Analyse customer purchasing patterns, buying behaviours and product utilisation trends to identify growth opportunities and potential risks.
• Develop customer segmentation models based on revenue, specialty, purchasing frequency and profitability.
• Identify opportunities to improve customer retention, cross-selling and account penetration.
• Support the Sales and Operations teams with customer insights and data-driven strategies.
• Conduct pricing, product, and customer profitability analyses to support commercial decision-making.

Strategic Planning & Business Partnering

• Support annual budgeting, forecasting and strategic planning processes.
• Prepare business cases and financial models to evaluate new products, tenders and investment opportunities.
• Partner closely with Sales, Finance, Operations and Regulatory teams to support business objectives.
• Provide strategic recommendations and insights to management to support decision-making and business growth.

Data Management & Process Improvement

• Ensure the integrity, accuracy and governance of business data across systems.
• Identify opportunities to automate reporting and streamline business process

Requirements:

• Bachelor's degree in Business, Finance, Economics, Statistics, Data Analytics, or a related discipline.
• Minimum 7-10 years of relevant experience in business analytics, commercial finance, business intelligence, or strategic planning, preferably within the medical device, healthcare or distribution industry.
• Proven experience in a managerial role with strong stakeholder management skills.
• Advanced proficiency in Microsoft Excel and Power BI; experience with ERP systems such as Microsoft is an advantage.
• Able to translate data into actionable business insights and recommendations.

The Supreme HR Advisory Pte. Ltd | 14C7279
Gan Kai Le | R23112683