Total 361 data entry job vacancies

An exciting opportunity has arrived at The Garcha Group, Singapore’s boutique hotel group currently with the following hotels:

- Maxwell Reserve, Autograph Collection Hotel (Marriott);

- The Vagabond Club, a Tribute Portfolio Hotel (Marriott);

- The Serangoon Club, a Tribute Portfolio Hotel (Marriott).

Restaurants & Bars:

· Shikar, Isabel Brasserie, Polo Bar Steakhouse & Cultivate (Maxwell Reserve)

· Whiskey Library & Jazz Club (The Vagabond Club)

· GupShup (The Serangoon House)

Garcha Group Benefits:

- As an associate of a Marriott hotel, you, your parents or parents-in-laws, children, spouse/domestic partner and siblings are eligible for discounts on F&B and room rates in 7,000+ hotels world-wide.

- As an associate of a Marriott hotel, you have access to the “Global Learning + Development” tool which creates for you personalized learning experiences designed to help you thrive in their Marriott career journey. (see attached for full Marriott benefits)

- 2 nights yearly staycation in any of the Garcha Group hotels in Singapore.

- 20% off Food/Alcohol Bill at all Garcha Group restaurants and bars

Responsibilities include but are not limited to:
- Updating inventory count and maintaining inventory records to share with management and other stakeholders in the business
- Keep accurate and up-to-date records of all purchases, including prices, quantities, and delivery dates. Ensure that all information is documented and easily accessible for reference and reporting purposes.
- Conduct market research to identify new suppliers, products, and technologies. Stay updated on market trends, price fluctuations, and industry regulations to make informed purchasing decisions. Compare prices, quality, and delivery terms to select the best suppliers for the organization.
- Monitor stock levels and anticipate future needs. Coordinate with the warehouse or inventory team to ensure optimal inventory levels are maintained. Recognize potential stock shortages or excesses and take appropriate action to address them.
- Assist in developing and monitoring departmental budgets. Ensure that purchasing activities align with approved budgets and financial guidelines. Identify cost-saving opportunities and propose strategies to optimize procurement processes.
- Prepare regular reports on purchasing activities, including expenditures, savings, and supplier performance. Generate reports for management review to provide insights and support decision-making processes.

- Any other duties/tasks as requested by management.

Skills:

- Ability to accurately process and maintain detailed records and documents.
- Capable of managing multiple tasks simultaneously and prioritizing work effectively.
- Able to communicate clearly and professionally with suppliers, vendors, and internal stakeholders.
- Proficient in negotiating favorable terms, conditions, and prices with suppliers.
- Capable of conducting market research and analyzing data to make informed purchasing decisions.
- Experience with procurement software and systems to manage purchase orders, track inventory, and generate reports.
- Familiarity with procurement policies, procedures, and industry standards.
- Skilled in identifying and resolving issues related to purchasing, such as delivery delays or quality concerns.

Job Summary

Temporary Data Entry Clerk for 1 to 2 months to assist the Accounts & Admin department with data entry, filing, and administrative tasks. You will accurately input, update, and maintain operational records while ensuring data integrity and confidentiality.

Responsibilities

• Accurately input data into operational systems to maintain up-to-date records
• Update existing records to reflect current information for operational accuracy
• Maintain filing systems to organize documents for easy retrieval and reference
• Perform administrative tasks to support the Accounts & Admin department’s daily operations
• Ensure confidentiality and data integrity by handling sensitive information securely

Job Summary

We are seeking a detail-oriented and organized Data Entry Clerk to accurately input, update, and maintain data in company systems and databases. The ideal candidate possesses strong typing skills, attention to detail, and the ability to handle confidential information while meeting deadlines.

Key Responsibilities

• Enter, verify, and update data accurately into databases, spreadsheets, and internal systems.
• Review source documents for accuracy and completeness.
• Perform regular data audits and quality checks to ensure data integrity.
• Maintain and organize electronic and physical records.
• Generate reports and retrieve information as required by management.
• Identify and correct data discrepancies or errors.
• Ensure confidentiality and security of sensitive information.
• Collaborate with internal departments to obtain and validate data.
• Support administrative and clerical tasks when required.

Requirements

• Minimum GCE 'N'/'O' Level, Diploma, or equivalent qualification.
• Proven experience in data entry, administration, or clerical support is preferred.
• Proficient in Microsoft Office applications, especially Excel and Word.
• Fast and accurate typing skills.
• Strong attention to detail and organizational abilities.
• Ability to work independently and manage multiple tasks.
• Good communication and interpersonal skills.

Applicants who are keen to apply for this position can click "Quick Apply" or send latest resumes to alex.tang@paradigmrecruitment.com.sg

Alex
EA Reg No: R2197438
EA License No: 21C0434

We are a vegetable distribution company serving B2B customers. We are looking for a responsible and detail-oriented individual to support the team in daily sales and administrative operations.

Job Responsibilities

• Receive and process customer orders in system
• Handle basic customer enquiries
• Coordinate orders and indents
• Ensure orders are prepared on time
• Update, finalise and print/ send invoices
• Assist with general sales admin support duties
• Other ad hoc tasks or projects

Requirements

• Responsible with great attention to detail
• Able to work independently and prioritise tasks during busy period
• Positive attitude and able to work well with others
• Basic computer skills
• Bilingual in English and Mandarin (need to liaise with Chinese speaking customers)

Working Hours and Location

• 5.5 days work week: Monday to Friday 7.30am to 4.00pm, Saturday 7.30am to 12.00pm (timing can be discussed)
• Possible future transition to 5-day work shift arrangement
• Work location: Pasir Panjang Wholesale Centre (5 minute walk from Haw Par Villa MRT)

Shortlisted candidates will be notified.

Find out more about us at www.yongjoo.com.sg

• Perform deep-dive statistical analysis and build machine learning models for tasks like classification, regression, clustering, and recommendation.
• Design, develop, and maintain scalable and efficient data pipelines to automate data collection, cleaning, and feature generation.
• Collaborate with business stakeholders or cross functional team to define problems, identify key metrics, and present data-driven recommendations.
• Develop and implement A/B testing frameworks to validate hypotheses and measure model impact.

• Work with AI Engineers to prepare models for production, providing clean code and well-engineered features.

• Implement governance, quality checks, and compliance standards (PDPA).

• Provide insights to business units through advanced analytics and visualization.

Requirements:

• Advanced degree (Bachelor or Master’s degree) in Statistics, Mathematics, Computer Science, Economics, or another highly quantitative field.
• Minimum of 5+ years of experience in a data science role, with a proven portfolio of projects demonstrating impact.
• Significant experience (3+ years) in data engineering tasks (e.g., building ETL/ELT pipelines, data warehousing).
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills.
• Ability to manage multiple projects and deliverables simultaneously.

Location(s):

Seatrium (SG) Pte. Ltd.

Pioneer Yard

50 Gul Road, Singapore 629353

(Islandwide transport provided)

Working Hours:

Monday – Thursday: 8:00am – 5.15pm

Friday: 8:00am – 4.30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

Get to Know the Team

The Integrity team is dedicated to Trust, Identity, and Safety, safeguarding our users and transactions on Grab. We leverage our datasets to address critical challenges, protecting millions of users and transactions from fraudulent activities, identity compromises, unsafe offline interactions, and harmful platform content. Our core mission involves analyzing ambiguous threat patterns, building anomaly detection, and ideating on new signals to detect risks. To achieve this at scale, we use advanced AI, machine learning, and auto-adaptive systems as powerful tools to enhance our broader risk analysis and decision-making capabilities.

Get to Know the Role

Reporting to the Analytics Manager, you will be an important analytics partner focused on Trust and Safety for a specific Problem Space Team (PST). Your primary focus is to analyze user behavior and product funnels to identify potential risks. You will use our evolving auto-adaptive tools and GenAI capabilities to streamline your daily analytical workflow.

You will base onsite at our Grab Malaysia office.

The Critical Tasks You Will Perform

• Address analytical problems of low to medium complexity, delivering reliable and accurate insights to measure business and product risk performance.
• Analyze user behavior data to identify potential vulnerabilities across different risk domains, including account security, user safety, and content integrity, assisting in the building of anomaly detection systems.
• Ideate on new signals to detect risks, working with stakeholders to develop data-driven rules that mitigate bad actors.
• Use GenAI tools (like Cursor or Gemini) and basic system-thinking to automate routine metric reviews and alerts, freeing up your time for deeper threat investigations.
• Use components of our Auto-Adaptive risk frameworks as tools to help in the operational validation and refinement of safety and risk rules.
• Contribute to foundational data initiatives, such as metric onboarding, data pipeline cleanups, and architectural efficiency, ensuring the data we use for risk detection remains robust and reliable.

Job Responsibilities:

• Support data classification and taxonomy methods and standards, understand business, cooperate with data team.
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate.
• Support R&D team to improve algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels, put forward suggestions and basis for annotation/labelling, and participate in the discussion of algorithm model improvement solutions.
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database.
• Improve the data annotation operation process, optimize the label sampling and review mechanism, and improve the efficiency of manual standards.
• Participate in the functional optimization design of the annotation platform.

Qualifications:

• Bachelor’s Degree in Computer Science or IT related discipline.
• At least 1 year of working experience in data analyst or DBA, familiar with all kinds of data samples in storage.
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes.
• Willing to perform repetitive tasks effectively with a minimum of errors.
• Knowledge and keen interest in artificial intelligence and machine learning.

Job Summary

Role: Data Engineer

Start: ASAP

Duration: 12 Months

Location: Singapore

We are seeking an experienced Data Engineer with 6+ years of expertise in enterprise data warehouse (EDW), ETL/ELT development, and big data engineering. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and frameworks across Teradata-based data warehouse environments and modern Hadoop ecosystem platforms.

This role requires strong hands-on experience in ETL development using Informatica PowerCenter, Teradata SQL, and Spark, along with deep exposure to data pipeline automation, performance tuning, and CDC (Change Data Capture) frameworks. The candidate will also contribute to building enterprise-grade data ingestion, transformation, and governance solutions supporting both structured and semi-structured data across complex enterprise systems.

Requirements:

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

- Minimum 6+ years of experience in Data Engineering, ETL development, or Enterprise Data Warehouse environments.

- Strong hands-on experience in Teradata SQL and EDW/ETL development.

- Proven experience with Informatica PowerCenter for enterprise ETL development.

- Strong experience with Hadoop ecosystem technologies (Apache Spark, Hive, Kafka, NiFi, Iceberg, Impala, etc.)

- Strong expertise in performance tuning and optimization of large-scale data pipelines.

- Hands-on experience with shell scripting, BTEQ, and automation frameworks.

- Strong understanding of data pipeline orchestration and workflow automation.

- Experience with CDC (Change Data Capture) concepts, preferably with Java-based implementation.

- Experience building frameworks for data ingestion, transformation, and automation in enterprise environments.

- Strong understanding of data modeling, ETL design patterns, and data warehousing concepts.

- Experience working with enterprise systems such as SAP (Oracle) for data integration.

- Experience with Master Data Management (MDM) solutions including data validation and approval workflows.

- Strong analytical, problem-solving, and debugging skills.

- Experience working in Agile or enterprise-scale delivery environments.

Roles and Responsibilities:

- Design, develop, and maintain ETL/ELT processes using Teradata SQL, Informatica PowerCenter, Apache Spark, QueryGrid, and Trino.

- Build and optimize data pipelines to load and transform data into Teradata-based data warehouses and data marts.

- Develop and implement scalable data engineering frameworks to support end-to-end automation using GCFR, BTEQ, and shell scripting.

- Perform performance tuning and optimization of complex ETL jobs and data processing workflows to reduce resource consumption and improve efficiency.

- Build and maintain in-house CDC (Change Data Capture) frameworks using Java to process OLR logs from SAP (Oracle) systems and ingest data into Teradata.

- Design configurable and reusable CDC ingestion frameworks to support enterprise-wide data integration requirements.

- Develop and support Master Data Management (MDM) solutions for user data uploads, including data validation, enrichment, and approval workflows.

- Work with Hadoop ecosystem technologies including Hive, Impala, Spark, Kafka, Iceberg, NiFi, Ranger, Atlas, and Flink for data ingestion, processing, and governance.

- Implement data pipeline orchestration and scheduling mechanisms to ensure reliable and timely data delivery.

- Collaborate with business, analytics, and application teams to translate requirements into scalable data engineering solutions.

- Ensure data quality, consistency, and governance across enterprise data platforms.

- Support troubleshooting, root cause analysis, and production issue resolution for data pipelines and ETL processes.

- Continuously improve data engineering standards, frameworks, and automation capabilities.

Please send your application highlighting:

- Your relevant experience

- Current/expected salary

- Availability information

- A latest MS-WORD Resume

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, License No. 07C4453]

[2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]

Employment type - 1-year contract (Renewable)

Eligibility: Singaporean only

Role Overview

As a Data Engineer, you will design, build, and operate scalable, secure, and high-performance enterprise data platforms and ETL pipelines that enable analytics, reporting, and data-driven decision making. You will play a key technical role in delivering end-to-end data pipelines, analytics platforms, and integration solutions across hybrid and cloud environments, including Government Commercial Cloud (GCC) and MINDEF Commercial Cloud (MCC).

You will work closely with data and solution architects, business stakeholders, and infrastructure teams to translate requirements into robust, production-grade data solutions.

Job Responsibilities

1.     Data Engineering &Platform Design

·      Design and develop scalable and reliable data pipelines.

·      Build enterprise data platforms, including data warehouses, data lakes, and lake houses.

·      Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

2.     Data Integration &ETL/ELT

·      Lead ETL/ELT pipeline development with Talend as a core and highly preferred platform. Experience with other ETL/ELT tools will be considered.

·      Integrate structured, semi-structured, and unstructured data sources.

·      Implement and maintain data quality, validation, and error-handling frameworks.

3.     Storage & Data Management

·      Design and manage data storage solutions with a strong emphasis on object storage, data quality, and data governance.

·      Implement and maintain data lifecycle management and cost-optimization strategies.

·      Ensure data lineage, traceability, and auditability.

4.     Analytics Enablement& BI Integration

·      Engineer analytics-ready data models for reporting and self-service analytics.

·      Enable BI Dashboards, Reports, and analytics through performant and governed data pipelines.

5.     Security, Governance& Compliance

·      Ensure compliance with government security and privacy requirements.

·      Implement and maintain encryption, access controls, and secure data handling practices.

·      Implement and maintain security policies and procedures for the system

Job Requirements

Education - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Core Technical Skills

• Strong hands-on data engineering experience
• Expertise in ETL/ELT with Talend (highly preferred)
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems
• Qlik Sense Enterprise integration experience (highly preferred)
• Strong SQL and Python skills

Experience & Security Requirements

• Minimum 3+ years of experience in enterprise data engineering roles
• Prior CAT 1 / G50 security clearance(mandatory)
• Previous experience delivering MINDEF projects (mandatory)

Employment Type: 1-year contract (renewable)

Requirement: Singaporean only, due to security clearance requirements.

The Role

The Data Scientist will design, develop, and implement cohesive data integration and advanced analytics solutions involving both structured and unstructured data. The role supports mission‑critical initiatives, including predictive modelling, forecasting, operations research (optimization), text mining and network analytics, particularly within regulated and public‑sector environments.

Job Responsibilities

• Design, develop, and implement data analytics and data science solutions to support client projects and business initiatives.

• Manage the end-to-end analytics lifecycle, including requirement gathering, data scoping, modelling, deployment, and monitoring.

• Conduct or support analytics workshops with business and technical stakeholders to translate business needs into analytical and data requirements.

• Participate in project meetings and stakeholder discussions to support project delivery.

• Develop, implement, and validate data science models with considerations for explainability, scalability, security, integration, and operational efficiency.

• Apply software development best practices, including documentation, coding standards, and SDLC processes.

• Prepare high-quality client deliverables, technical documentation, and governance-related artefacts.

• Independently manage assigned workstreams in a fast-paced project environment with minimal supervision.

• Research industry trends, emerging technologies, and public-sector / government business domains to support solution development.

• Contribute to reusable analytical frameworks, templates, reports, and presentation materials for future projects.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Business Analytics, or equivalent.

• Minimum 2 years of experience in Data Analytics / Data Science.

• Hands-on experience in data processing, feature engineering, hyper-parameter tuning, model validation, and data visualization.

• Strong experience with AWS SageMaker and Python tools/frameworks such as Pandas, NumPy/SciPy, Scikit-Learn, XGBoost, and PySpark.

• Experience with Generative AI / LLM-based solutions (e.g. RAG, conversational analytics, knowledge assistants, document intelligence) is advantageous.

• Exposure to data engineering concepts including data ingestion, transformation, ETL pipelines, and data platforms / warehouses is preferred.

• Strong SQL skills with experience handling relational databases and large datasets.

• Familiar with software engineering best practices such as Git, CI/CD, code reviews, and test-driven development.

• Knowledge of object-oriented programming and applying it within data science pipelines.

• Ability to gather requirements, conduct analytics workshops, and translate business needs into actionable data solutions.

• Strong analytical, problem-solving, and stakeholder management skills.

• Able to work independently in a fast-paced and agile environment.

• Excellent written and verbal communication skills.

• Experience supporting Government / public-sector projects is highly advantageous.

• Candidates with existing or eligible MSD Security Clearance (CAT 1) will be strongly preferred.

• Singaporean only due to security clearance requirements.

About the Role

We are looking for a Streaming Data Engineer to design and build scalable real-time data pipelines and streaming data platforms. This role focuses on building high-throughput, low-latency data systems capable of processing large-scale event streams and enabling real-time analytics.

Key Responsibilities

1. Design and develop real-time streaming data pipelines

2. Build event ingestion systems using Kafka or similar messaging systems

3. Implement stream processing jobs using Flink / Spark Streaming

4. Develop scalable stream processing jobs

5. Build and optimize real-time analytical databases

6. Build and maintain data pipelines supporting both batch and streaming workloads

7. Support real-time dashboards and data APIs

8. Implement monitoring and alerting for streaming pipelines

9. Work closely with Data Scientists, Data Analysts, Backend Engineers, and Platform Engineers

What We’re Looking For

1. 3–6 years of experience in Data Engineering / Backend Engineering

2. Experience with real-time analytical databases (Starrocks / Clickhouse / Doris)

3. Experience with streaming data technologies (building distributed data systems)

4. Proficiency in Python / Java / Scala / SQL

5. Apache Kafka / Apache Flink / Spark Streaming

What We Offer

1. A collaborative and inclusive work environment.

2. Opportunities for professional growth and development.

3. The chance to play a pivotal role in shaping the future of our organization.

Job Description

• Work independently as a Data Engineering pipeline developer, either in Databricks or in INFORMATICA IDMC.
• Very Strong in Data Management and ETL concepts
• Very Strong in SQL or Python/PySpark
• Ability to monitor pipeline/ETL job loads and troubleshoot and fix

Requirements & Qualifications

• Experience: 2 – 5 Years
• Has more than 2 Years of experience in developing data lakes, and datamarts on the Databricks/Hadoop platform.
• 1-3 years of experience in INFORMATICA IDMC/PowerCenter Services (OR) 1-3 years of experience in Spark, Python, PySpark and SQL.
• Certified Data Engineer from Databricks or a Professional Cet. is an added advantage.
• Good understanding of developing data warehouses, data marts, etc.

Experience:

• Minimum 4–6 years of experience
• Strong experience in data cleaning and transformation using tools such as SQL, Python (Pandas), or R to ensure data accuracy and consistency.
• Hands-on experience in building and maintaining ETL/ELT pipelines using technologies like SSIS, AWS DMS, AWS Glue, Python, AWS Lambda, ECS, EventBridge, or Spring.
• Good knowledge of database design and experience working with databases such as PostgreSQL, MySQL, MongoDB, Cassandra, SQLite, Athena, and AWS S3.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience developing production-grade data pipelines and data integration solutions in big data environments.
• Understanding of system design, data structures, and algorithms.
• Familiar with data architecture concepts including Data Lakes, Data Warehouses, Data Marts, and Data Virtualization for efficient data storage and access.