Total 1,147 data entry job vacancies in Information Technology category

Job Description

1.     Perform detailed cooling load calculations and thermal analysis for data halls, including rack-level heat load assessments.

2.     Design, review, and optimize ACMV systems, including:

- CRAC/CRAH units

- Chilled water systems

- Cooling towers and pumps

3.     Lead and support cooling system upgrades and retrofits, ensuring minimal disruption to live data center operations.

4.     Evaluate system performance using KPIs such as:

o  Power Usage Effectiveness

o  System Efficiency

5.     Conduct energy optimization studies and recommend improvements (e.g., air flow management, containment strategies, setpoint optimization).

6.     Support capacity planning and future expansion work based on IT load growth.

7.     Review engineering drawings, method statements, and ensure compliance with design intent and operational requirements.

8.     Work closely with operations teams to implement EOPs/MOPs for mechanical system interventions.

9.     Participate in risk assessments, failure mode analysis, and incident investigations related to cooling systems.

10.  Ensure all works comply with relevant standards and regulatory requirements in Singapore

Required Qualifications
1.     Bachelor’s Degree / Degree in Mechanical Engineering or related field

2.     Additional certifications relevant to theindustry is an added advantage 

3.     1-2 years’ experience maintainingelectrical, mechanical, fire protection system in a data centre environment

4.     Experience and knowledge of MEP equipmentsuch as CAHU, CRAC, ACMV systems, pumps, cooling towers, UPS, generators, etc.

5.     Strong technical expertise in thermalmanagement, cooling load calculations, and energy efficiency improvements,supporting design and upgrading of cooling systems in data centre environments.

6.     Strong problem-solving abilities,communication skills, and the ability to work independently and as part of ateam

7.     Strong written and verbal communicationskills

8.     Proficient in Computer skills eg.Microsoft office, google emails , docs etc.

9.     Shift work & Standby Duty is required(Shift allowance available)

• Develops, implements, and maintains technical quality assurance and control systems and activities.
• Defines and specifies the implementation of standards, methods, and procedures for inspecting, testing, and evaluating the precision, accuracy, and reliability of the construction and future operation management.
• Participates in the reviewing of engineering designs to contribute quality requirements and considerations.
• Assists construction support areas in gathering and analyzing data.
• Demonstrable experience in the managing of multi-disciplined semiconductor projects and/or other relevant industries is strongly preferred.
• Implement construction quality management in construction activities.
• Collaborate with core team to perform the audits to validate and confirm Contractors’ QA/QC (Quality Assurance and Quality Control) activities.
• Focal Point for specific discipline, excellent familiarity with the project scope and drawings.
• Review and follow up the Contractors’ QA/QC plans and relevant Quality Documentation and verify execution is done per latest and updated IFC.
• Review and follow up the Contractors’ Quality records.
• Issues and tracks NCR (Non-Conformance Record) items till closure.
• Supports and coordinates Mock-ups.
• Escalation path for relevant Lead Project Manager.
• Performs incremental checks to validate and confirm Contractors’ installations.
• Attend mutual QC walk down with Owners.
• Supports Design Verification (DV) Process and start-up and commissioning quality issues.
• Root cause analysis and problem-solving program. Tracking defect rectification and closure in time.
• Perform Quality training for Subcontractors.
• Summarize and categorize all kinds of Quality inspection statistic data and list down for supervision, analysis and outcome report for improvement and recovery.

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Key Responsibilities

·       Design, develop, and maintain software applications that support customizable data analysis and AI-driven functionalities.

·       Build and enhance an Amoeba-based modular system that enables flexible configuration of data structures, workflows, and analytical components.

·       Develop and maintain data processing and transformation pipelines to support analytical and AI use cases.

·       Implement, integrate, and optimize AI and machine learning models for data analysis, automation, and intelligent insights.

·       Develop and maintain web-based applications and websites, ensuring reliability, performance, and security.

·       Create, document, and manage technical libraries and reusable components, including AI-enabled APIs and functions.

·       Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

·       Conduct testing, debugging, and performance optimization throughout the software development lifecycle.

·       Ensure code quality, maintain ability, and compliance with development standards and best practices.

·       Maintain technical documentation and participate in code reviews and system enhancements.

Required Qualifications

·       Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

·       Proficiency in one or more programming languages such as Python, Java, JavaScript, C++, or similar.

·       Strong understanding of data processing, data analytics, and system integration.

·       Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or equivalent).

·       Experience in web application development (frontend and backend).

·       Familiarity with modular, microservices, or plugin-based system architectures.

·       Knowledge of software version control systems (e.g., Git).

About the Role

Key Responsibilities

• Develop and continuously iterate the data platform
• Build and maintain data pipelines for user behavior data processing based on Flink, ensuring the completeness, accuracy, and stability of tracking data.
• Design and maintain the user tagging system, including tag generation, quality validation, and tag governance.
• Build and maintain data application pipelines to support downstream data needs from product, operations, analytics, and algorithm teams, including behavior and user tag data.
• Collaborate closely with product managers, data analysts, and business teams to drive the application of user data in refined operations and product optimization.
• Continuously improve the performance, observability, maintainability, and scalability of the data application pipeline.

Qualifications

• Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, or related fields. At least 5 years of experience in complex system development.
• Proficient in Java, Python, and SQL for data application development or data processing.
• Familiar with the Apache Flink framework and experienced in real-time or near real-time processing of user behavior data.
• Solid understanding of event tracking systems, including event definitions, attributes, user ID mapping, and tracking data flow.
• Familiar with common user tag categories (e.g., behavioral tags, attribute tags, statistical tags) and their production mechanisms.
• Experience with relational databases (RDBMS), NoSQL databases, and analytical data systems (OLAP), such as MySQL, Redis, HBase, Doris, and ClickHouse.
• Strong problem-solving and troubleshooting skills, with the ability to translate business requirements into data processing solutions and collaborate effectively across teams.
• Able to use Chinese and English as dailying working language to work with chinese-speaking stakeholders

JOB DESCRIPTION

As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities;

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML  techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)

KeyResponsibilities

• Lead and develop a team of data centre engineers and technicians, ensuring effective 24/7 operations.
• Oversee day-to-day data centre operations, ensuring high uptime and service availability.
• Manage critical infrastructure including UPS, generators, cooling systems, and BMS.
• Plan and coordinate maintenance activities, upgrades, and capacity expansion.
• Monitor capacity utilisation, optimise energy efficiency, and control operational costs.
• Handle incident management, including root cause analysis and implementation of corrective actions.
• Manage vendors and contractors, ensuring performance standards and service delivery.
• Oversee preventive and corrective maintenance across electrical, mechanical, and IT systems.
• Ensure compliance with safety, regulatory, and industry standards.
• Act as the main point of contact for stakeholders and provide regular operational updates.

Requirements

• Degree in Engineering, Information Technology, or a related field.
• Minimum 8 years of experience in data centre operations, including at least 5 years in a leadership role.
• Strong understanding of data centre infrastructure, including electrical, mechanical, and IT systems.
• Experience in data centre setup, operations, and infrastructure management.
• Familiarity with industry standards (e.g., ISO 27001).
• Strong leadership, communication, and stakeholder management skills.
• Experience in budgeting, planning, and continuous improvement initiatives.
  
  HOW TO APPLY:
• Interested applicants, please click on “Apply Now” and provide the below details in your resume.
• We regret only shortlisted candidates will be notified.
• Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
• Please read our privacy statement on our corporate website www.trustrecruit.com.sg.
• Trust Recruit Pte Ltd
• EA License No: 19C9950
• EA Personnel: Ang Ren Jing (Dino)
• EA Personnel Reg No: R25146829R

Responsibilities:

• Operate as the technical partner to Growth, Marketing, Sales and Data Science leaders to define and implement Airwallex’s growth strategy
• Mentor the team in applying a variety of data science techniques—root-cause analysis, statistical modeling, and experimentation—to identify opportunities and drive product-led growth (acquisition, activation, retention, reactivation)
• Establish insight-driven approaches to address key business problems and drive business impact
• Build scalable measurement frameworks that enable consistent, data-driven decision-making across teams and inform growth strategy
• Clearly and persuasively communicate data insights and recommendations to technical and non-technical audiences, ensuring findings influence stakeholders
• Translate open-ended business problems into clearly defined data science initiatives for the team to implement

Qualifications

• 5+ years industry experience and a degree in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics). Advanced degree (PhD or MS) preferred
• Excellent communication and interpersonal skills; proven ability to influence strategy in high-growth environments
• Demonstrated experience applying data science to drive growth initiatives with concrete impact
• Strong skills in SQL and Python/R; experience with data modeling a plus
• Experience in technology, financial services and/or a high growth environment is advantageous

Location: Raffles Place

Duration: May - July

Working Hours: Mon - Fri

Salary: Up to $15/hour

Job Responsibilities:

• Clean, update, and de-duplicate contact and company records in HubSpot
• Perform accurate data entry and bulk uploads into HubSpot
• Validate data completeness, accuracy, and consistency across records
• Flag data gaps, inconsistencies, or system issues to the team
• Support basic reporting and data extraction when required
• Assist in processing membership applications and updates
• Coordinate with internal teams on incomplete or unclear submissions
• Maintain proper data documentation and audit trails
• Provide administrative support to the team as required

Job Requirements:

• Comfortable working with CRM systems (HubSpot preferred)
• Basic data management skills, including data cleaning, validation, and standardisation
• Strong attention to detail and high level of data accuracy
• Basic proficiency in Excel (e.g. filtering, sorting, simple formulas)
• Able to follow structured processes, data standards, and governance guidelines
• Able to manage repetitive data tasks with consistency and accuracy
• Good organisational, documentation, and follow-up skills
• Prior administrative, data-entry, or data support experience preferred

Ally
The Outsourcing Team
Recruit Express Pte Ltd
EA: 99C4599

Work scope, duties and responsibilities

1. Perform Quality administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time

Working Day/ Time : Sunday to Thursday, 8.30am to 6pm (5 days)

* Can use Microsoft Word & Microsoft Excel.

* Sometimes need to wear jumpsuit work inside clean room.

* Can speak in simple English.

* Simple Computer Knowledge.

* Require teamwork in order to complete tasks and accomplish common goals.

* Good communication, interpersonal skill and responsibility.

* Provide onsite training.

Job Summary

We are looking for a detail-oriented and reliable Data Entry Executive to join our team. The ideal candidate will be responsible for accurately inputting, updating, and maintaining data in company systems while ensuring high levels of accuracy and efficiency.

Responsibilities

• Enter, update, and maintain data accurately in internal databases and company systems to support operational needs
• Verify data entries for accuracy and completeness to ensure data integrity
• Review and correct data discrepancies to maintain reliable records
• Maintain confidentiality of sensitive information in compliance with company policies
• Generate reports and retrieve data promptly as requested by team members or management
• Organize and maintain digital and physical records to facilitate easy access and retrieval
• Support administrative tasks as needed to contribute to smooth office operations
• Meet deadlines consistently by managing time effectively and prioritizing tasks
• Follow instructions carefully and demonstrate willingness to learn new processes and tools

Preferred competencies and qualifications

• Basic computer literacy, including typing skills and familiarity with Microsoft Excel or similar tools
• Attention to detail to ensure high accuracy in data handling
• Responsible work attitude and ability to meet deadlines

Other Information

• Job Type: Full-time
• Working Hours: Monday to Friday, 9:00 AM – 5:00 PM
• Salary: Competitive salary package
• Benefits include training for new hires, a friendly and supportive work environment, and opportunities for growth and development

· Azure Data Factory (ADF) – metadata-driven pipelines

· Basic Cloudera working knowledge

· Cloudera → Cloud migration (mandatory)

· Large-volume historical data migration

· Azure Databricks (Spark / SQL)

· Data reconciliation and audit sign-off

· Framework-based data ingestion / migration

Good-to-Have

· Azure Data Box–based migration experience

· Bulk history extraction using Data Box

· Landing data into ADLS Gen2

· Processing history in Databricks (Delta)

· Orchestrating incrementals via ADF

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).