Total 1,302 data entry job vacancies in Information Technology category in Singapore

Responsibilities:

• Support the organisation's data centre services through monitoring and management for system, network and facilities
• Perform computer operations including account and tape management
• Incident management and act as escalation point to any facilities and system / network
• Manage and administer the service desk operations
• System alert monitoring and perform necessary escalation
• Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
• Assist in planning and execution of disaster recovery activities
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Review of the data centre operations and report any gaps and issues
• Maintain proper IT documentation and prepare monthly reporting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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

• Reg. R23118506, Goh Li Min

Location: Singapore (Office-based)

Contract Duration: 1-2 months (with possibleextension based on performance and business needs)

Responsibilities:

• Perform accurate data input for accounting records, invoices, receipts, and ledgers into company systems (e.g., Excel, accounting software).
• Verify and cross-check data for errors or discrepancies.
• Assist in filing and organizing accounting documents digitally and physically.
• Support basic data sorting, reporting, and ad-hoc tasks as assigned by the Accounts team.

Requirements:

• Minimum O-Level or equivalent; basic accounting knowledge preferred but not essential.
• Proficient in Microsoft Excel (data entry, basic formulas).
• Reliable, able to commit to full-time hours for short-term contract.
• Singaporean/PR preferred (local candidates prioritized).

Application: Interested candidates, please email resume to lihoon.teo@asiasync.com.sg with subject "Accounts Data Entry Contract Application". Shortlisted applicants will be contacted for interview.

Job Summary

You will manage financial transactions and records to ensure accuracy and compliance in daily operations for the logistics and supply chain business.

Responsibilities

• Verify invoice accuracy by checking charges against supporting documents to ensure correct billing
• Execute daily banking transactions to maintain smooth financial operations
• Prepare detailed customer outstanding aging lists to track overdue payments and support collections
• Monitor GST payments and fines to ensure timely compliance with tax regulations
• Maintain accurate and up-to-date accounts to support financial reporting and auditing

About the Role

We are seeking a talented and driven Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and architectures that support business analytics and data science initiatives. As a Data Engineer, you will work closely with data analysts, AI engineers, and other teams to ensure the efficient flow of data across the organization and enable data-driven decision-making. The role requires strong technical expertise in data systems, databases, and cloud infrastructure.

Responsibilities:

• Design, implement, and maintain scalable data pipelines to collect, process, and store large volumes of data from various sources.

• Develop and optimize ETL (Extract, Transform, Load) processes to integrate data from internal and external systems.

• Work with data analysts and other teams to ensure data is accessible and prepared for analysis and modelling.

• Manage and maintain databases, data lakes and warehouses, and other data storage systems.

• Collaborate with cross-functional teams to ensure data integrity, quality, and security.

• Implement data governance best practices to ensure data consistency and reliability across platforms.

• Optimize and troubleshoot data storage and query performance for large-scale datasets.

• Stay current with emerging data engineering technologies and methodologies to continuously improve processes and systems.

• Automate data collection and processing tasks where applicable to enhance operational efficiency.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 5 years’ experience in data engineering, architecture, or relevant software development.

• Proficiency in programming languages such as Python, Java, or Scala.

• Strong experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, SQL Server, MongoDB).

• Expertise in data modelling, ETL processes, and data warehousing solutions.

• Experience with big data tools and frameworks (e.g., Hadoop, Spark, Hive, Kafka).

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Familiarity with data visualization tools (e.g., Power BI, Tableau) and business intelligence concepts.

• Strong problem-solving skills and the ability to work with large and complex datasets.

• Excellent communication skills and ability to work in a collaborative environment.

• Knowledge of AI/ML techniques and integration of AI/ML into production data pipelines.

• Knowledge of banking systems and financial data.

• Knowledge of data privacy, security, and compliance regulations.

By submitting your application, you have given your consent for us to collect, use and retain your data for a year as according to our prevailing data retention and PDPA policies. Should you have any enquiries on our data policy, please contact us at CustomerSupport@glbank.com

Description

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Engineer

You will work in Singapore Government Agencies

Internal Code: A26141

This is a fixed term contract role. The engagement is 1 year.

What will you do?

• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

Requirements

What are we looking for?

• Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency.
• Proficient in building ETL pipeline (eg. SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, mongodb, postgres/gis, mysql, sqlite, voltdb, cassandra, etc).
• Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
• Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge about system design, data structure and algorithms.
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualisation and Data Warehouse for efficient storage and retrieval.
• Familiar with rest api and web requests/protocols in general.
• Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka,RabbitMQ).
• Familiar with W3C Document Object Model and customized web scraping (e.g. BeautifulSoup, CasperJS, PhantomJS, Selenium, Nodejs, etc).
• Familiar with data governance policies, access control and security best practices.
• Comfortable in at least one scripting language (eg. SQL,Python).
• Comfortable in both windows and linux development environments.
• Interest in being the bridge between engineering and analytics.

Benefits

What do we offer in return?

• Competitive Compensation

Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.

• Benefits

Outpatient medical, specialist medical coverage and generous customisable flexi benefits, or flexi allowance; life and health insurance, thoughtful perks like special occasions “red packet” and CNY goodies, etc.

• Employee Wellness

Support for your physical, mental, and overall well-being through year-round initiatives.

• Growth & Development

Learning programmes, certification support, and a dedicated staff development budget. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

• Career Progression

Structured career pathways that enable you to grow along a technical/domain expert track or a leadership track.

• Competency Framework

A structured and practical framework to support you to develop, perform, and succeed.

• Flexible Work Arrangement

Staff may choose to work flexi-place, flexi-time, and flexi-load based on existing framework

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

 Job Requirements:

·       Degree in Information Technology or equivalent.

·       Must have minimum 2-4 years of experience as Data Analyst

·       Must have hands-on experience in SQL, Athena and BigQuery

·       Must have experience in A/B Testing methodology and Statistical Analysis

·       Experience in any Data Visualization Tools – Looker,Tableau, Google Data Studio

·       Good to have experience in Product Analytics Tools (GA4,Firebase), Experimentation Platforms and Feature Flagging tools.

·       Good to have experience working in Media, Publishing or Subscription based products.

·       Excellent written and verbal communication skills

* 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.

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)

Job Summary

You will maintain accurate data inputs into the company database by organizing, updating, filing, and scanning documents. You will assist with internal document distribution and perform data entry for invoices, bills, and service reports while supporting office administrative tasks.

Responsibilities

• Organize, update, file, and scan documents to maintain accurate records
• Assist in internal distribution of documents, including stamping, photocopying, and scanning
• Prepare and enter data for invoices, bills, and service reports to ensure timely processing
• Regularly update and maintain existing data records for accuracy and completeness
• Perform office administrative and clerical tasks to support daily operations
• Handle ad-hoc duties as assigned to meet team and organizational needs
• Maintain confidentiality and securely handle sensitive information
• Use data entry software, Microsoft Office applications (Excel, Word), and Cloud-based applications effectively
• Manage time and tasks efficiently to meet deadlines and support team goals
• Collaborate reliably as a self-motivated team player

Other Information

• Working hours: Monday - Friday, 8:30am - 6:00pm
• Flexi time arrangement available
• Work Location: Kaki Bukit
• In Heatology, we are committed to creating an inclusive environment for all employees.

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

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements

- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

We regretto inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you aredeemed to consent to PERSOL Singapore Pte Ltd and its local and overseassubsidiaries and affiliates to collect, use and disclose your personal data toprospective employers/companies based in any country for purposes ofevaluating  suitability for employment, conducting reference checks,administering employment related services, complying with Government’s healthadvisories and such other purposes stated in our privacy policy. Our fullprivacy policy is available at https://www.persolsingapore.com/policies.  Ifyou wish to withdraw your consent, please drop us an dataprotection@persolapac.com) to let usknow. Please feel free to contact us if you have any queries

PERSOL Singapore Pte Ltd •RCB No. 200007268E • EA License No. 01C4394• Reg No: R25158902 (Goh Bi LanAngelica)

Job Descriptions

As the Senior Data Analytics, you will be responsible for architecting the data ecosystem and
bridge the gap between raw engineering and business strategy. This position will design scalable
data models (Star/Nested Schema), orchestrate complex workflows using Airflow/Prefect, and
maintain a high-integrity Modern Data Stack via dbt and CI/CD. This position need to be proficient
in SQL and Python who can build intuitive self-service tools while translating technical complexity
into actionable business insights.

Job Responsibiities

• Design and implement robust data structures using Star Schema and Nested Schema methodologies to support complex business logic.
• Build and manage scalable data workflows using Airflow or Prefect, ensuring high availability and performance.
• Leverage dbt for transformation, Git for version control, and CI/CD pipelines to maintain a rigorous development lifecycle.
• Define and implement data quality tests (schema checks, null value alerts, and referential integrity) within the pipeline to catch upstream breaking changes.
• Create intuitive, high-impact dashboards in Tableau, Power BI, or Sigma that allow stakeholders to find answers independently.
• Implement monitoring tools to ensure data health, proactively identifying and resolving quality issues before they reach the business.
• Utilize Python (Pandas, NumPy) or R to perform complex, repeatable analyses that go beyond standard SQL.
• Act as the bridge between technical infrastructure and business strategy, translating complex data findings into actionable insights for non-technical leadership.

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)

Working Arrangement: Hybrid, Full Time

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.  

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Conversion Rate Optimization analytics.
• Turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges. 
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs. 
• Help to design and analyze A/B experiments to improve conversion rate outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define data requirements, foundational datasets and ensure high-fidelity tracking.
• Contribute to the planning & execution of the Growth team within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.  

Who we’re looking for

If this sounds like you, please get in touch! 

Experience & expertise

• 5+ years in a web analytics, product analytics, or business intelligence role
• Proven track record of designing, executing and evaluating A/B experiments, with the ability to recommend next steps through iterative testing
• Outstanding analytical skills — from querying data to unearth insights, to creating compelling visualisations for ease of understanding
• Strong problem-solving skills with the ability to think beyond the obvious

Data mindset & ownership

• Passionate about data and using it to influence business decisions
• Detail-oriented in ensuring data quality and integrity across everything you present
• Self-starter with a strong sense of ownership — you bring insights to life, not just report them
• Comfortable navigating ambiguity and able to lead complex, loosely-defined projects from first principles through to a clear outcome

Business partnership

• Adept at integrating with business teams to truly understand their challenges and define how data can help — as early as possible
• Strong business acumen with a business-first approach to problem framing
• Track record of delivering clear, actionable business value from data — fit for purpose, not just technically impressive

Communication & storytelling

• Excellent communicator who uses storytelling to make insights land at the business level
• Able to connect data narratives to commercial outcomes in a way that resonates across teams
• Fluent in English
• Thrives working alongside intelligent, passionate people

Technical skills

• High proficiency in SQL and/or other querying languages
• Hands-on experience in Tableau or equivalent data visualisation tools
• Comfortable working with AI tools and incorporating them into your workflow to move faster and think sharper

Nice to have, but not required 

• You are comfortable talking about technology and communicating with developers on technical topics.
• A desire to elevate the team by mentoring junior analysts and fostering a culture of peer review and best practices.

What we can offer you

• Challenging work in a fun and collaborative environment
• Smart, passionate, and intelligent colleagues
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

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