Total 1,213 Full-time data entry job vacancies in Islandwide

About the Role

We are looking for a meticulous and detail-oriented Data Entry Associate to support our Clients, Export Department of a leading global logistics company. This is a 3-month contract role based in Changi South, suitable for entry-level candidates who are organized, quick to learn, and comfortable working in a structured environment.

Key Responsibilities

• Perform accurate and timely data entry of export shipment records into internal systems
• Verify and update shipping documentation and export-related data
• Liaise with internal teams to ensure data completeness and accuracy
• Generate and maintain reports using MS Excel
• Assist with general administrative and operational support for the Export Department

Requirements

• Proficient in Microsoft Excel (e.g. formulas, data sorting, vlookup)
• Good typing speed with a high level of accuracy
• Meticulous, responsible, and able to work independently
• Able to commit to a 3-month contract

Salary: $2,300 per month
Location: Changi South
Working Hours: Monday – Friday, 9:00 AM – 6:00 PM
Contract Duration: 3 months (commitment required)

*On-the-job training provided

• Exposure to the export operations of an established global logistics organization

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

Liz Ooi Li Chen
EA Registration No.: R1104561
Recruit Express Services Pte Ltd
EA Licence No.: 13C6614

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)

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)

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.

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.

We are looking for a talented Data Scientist to join a growing team within a global technology organisation, helping shape the future of AI quality operations. This role sits at the intersection of LLM / AI, data science, and quality engineering, ensuring that AI systems deliver reliable, accurate, and high-quality outputs at scale.

This is a high-impact role supporting systems used by millions of users globally, where data integrity and model reliability are critical.

About the Role

You will be responsible for validating and improving outputs from LLM and machine learning models, while building scalable systems to ensure data quality and model reliability. Working closely with cross-functional teams, you will apply statistical methods, automation, and engineering best practices to strengthen AI quality processes.

Key Responsibilities

• Audit and validate AI/LLM model outputs to ensure accuracy, consistency, and relevance
• Design and implement data quality metrics, sampling strategies, and audit frameworks
• Perform statistical analysis and anomaly detection to identify risks and improve output quality
• Build and enhance automation tools, dashboards, and self-serve platforms for quality monitoring
• Develop Python-based solutions to process, evaluate, and improve data reliability
• Collaborate with data engineering, product, and operations teams to ensure high-quality datasets and workflows
• Identify risks, propose action plans, and continuously improve quality control processes
• Contribute to building scalable systems for large-scale AI validation and monitoring

Key Requirements

• Proven experience as a Data Scientist with strong foundations in statistics and data analysis
• Hands-on experience working with or validating LLM / ML models in production environments
• Strong proficiency in Python (e.g. Pandas, NumPy, Scikit-learn) and SQL
• Experience applying statistical methods for validation, experimentation, or anomaly detection
• Demonstrated ability to build tools, automation workflows, or data pipelines
• Solid understanding of data quality, risk identification, and validation methodologies

Preferred Skills

• Experience with LLM / agentic AI frameworks (e.g. RAG pipelines, embeddings, evaluation techniques)
• Experience building self-serve tools, dashboards, or internal platforms (e.g. Flask, Streamlit, Tableau, Power BI)
• Exposure to advanced statistical models or machine learning techniques
• Experience working within large-scale, service-oriented or high-volume data environments
• Strong problem-solving skills with a focus on scalability and risk mitigation

Why Join Us?

• Work at the forefront of AI validation, LLM quality, and data reliability
• Build airtight, scalable systems that directly impact products used by millions
• Join a fast-moving, high-impact team spanning data science, AI, and engineering
• Collaborate with global stakeholders across data, search, and AI domains

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

EA Registration No.: R2414837, Garey Gan Chia Wen

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA Licence No. 10C4544

• Strong Learning & Career Growth Opportunities
• Opportunity to work with large-scale/real-time data

About Our Client

The hiring organisation is a well-established company within the technology and telecoms sector, known for its innovative solutions and commitment to excellence. They operate on a global scale and are dedicated to fostering a collaborative and forward-thinking environment.

Job Description

• Develop and maintain scalable and efficient data pipelines and workflows.
• Collaborate with cross-functional teams to identify and address data requirements.
• Optimise data architecture to ensure performance and reliability of systems.
• Monitor and troubleshoot data infrastructure to ensure smooth operations.
• Implement data security and governance best practices.
• Support data integration from various sources to drive business insights.
• Create and maintain technical documentation for data solutions.
• Stay updated on emerging trends and technologies in the technology industry.

The Successful Applicant

A successful Data Engineer should have:

• A strong educational background in a relevant technical field.
• Proficiency in data engineering tools and programming languages.
• Experience with database management systems and data modelling.
• Knowledge of cloud-based data platforms and solutions.
• Excellent problem-solving skills and attention to detail.
• The ability to work effectively in a team-oriented environment.

What's on Offer

• Opportunity to work on meaningful projects in the technology industry.
• Exposure to a collaborative and innovative work culture.
• Temporary role offering flexibility and career development.

If you are passionate about data engineering and eager to contribute to a leading organisation, we encourage you to apply today

Contact

Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)

Quote job ref

JN-062026-7039991

Phone number

+65 6643 9741

Michael Page International Pte Ltd | Registration No. 199804751N   

Ready to kickstart your career in Marketing, Brand Activation, Events, and Customer Engagement?

Whether you're a fresh graduate

Job Summary

We are seeking an ambitious Marketing Executive to increase brand awareness and grow the customer base by promoting products and services at event sites in Singapore.

Responsibilities

• Execute event marketing campaigns by coordinating tasks and ensuring timely completion to meet campaign goals
• Engage with existing and potential customers to communicate product and service benefits clearly and effectively
• Collaborate with the Marketing team to develop and implement promotion strategies that drive customer interest and sales growth

Preferred competencies and qualifications

• Experience in Sales, Marketing, or related roles to support campaign execution and customer engagement
• Strong communication and presentation skills to effectively convey marketing messages
• Openness to learning and adapting to new marketing techniques and strategies

Candidates with no prior experience are welcome to apply

Job Summary

We are seeking an ambitious Marketing Executive to increase brand awareness and grow the customer base by promoting products and services at event sites in Singapore.

Responsibilities

• Execute event marketing campaigns by coordinating tasks and ensuring timely completion to meet campaign goals
• Engage with existing and potential customers to communicate product and service benefits clearly and effectively
• Collaborate with the Marketing team to develop and implement promotion strategies that drive customer interest and sales growth

Preferred competencies and qualifications

• Experience in Sales, Marketing, or related roles to support campaign execution and customer engagement
• Strong communication and presentation skills to effectively convey marketing messages
• Openness to learning and adapting to new marketing techniques and strategies

Candidates with no prior experience are welcome to apply

Job Summary

We are seeking an ambitious Marketing Executive to increase brand awareness and grow the customer base by promoting products and services at event sites in Singapore.

Responsibilities

• Execute event marketing campaigns by coordinating tasks and ensuring timely completion to meet campaign goals
• Engage with existing and potential customers to communicate product and service benefits clearly and effectively
• Collaborate with the Marketing team to develop and implement promotion strategies that drive customer interest and sales growth

Preferred competencies and qualifications

• Experience in Sales, Marketing, or related roles to support campaign execution and customer engagement
• Strong communication and presentation skills to effectively convey marketing messages
• Openness to learning and adapting to new marketing techniques and strategies

Candidates with no prior experience are welcome to apply

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

Salary & Benefits

• Basic Salary: Up to $2,600+ monthly
• Night Shift Allowance: $20 per shift
• 1-Month Sign-On Bonus

 Job Scope

• Maintain, troubleshoot, and repair machines
• Perform routine inspections and preventive maintenance
• Diagnose electrical/electronic faults

 Requirements

• Basic electrical/electronic knowledge
• No colour blindness
• Entry-level candidates are welcome
• Full training provided

 Working Hours

• 12-hour rotating shifts (Day/Night)
• 2 Days Work, 2 Days Off

Why Join Us?

• Training provided, no gaming experience required
• Attractive sign-on bonus
• Stable schedule with plenty of rest days
• Career growth opportunities in a specialized industry

Seize This Opportunity!

Click Apply Now to upload your updated Resume/CV, and take the first step toward an exciting new career!

Only shortlisted candidates will be contacted.

Chong Zhe Hui (Fiona)

Registration No: R1984570

EA Licence no.: 14C7121