Total 4,209 data entry clerk job vacancies

Join a fast-paced freight forwarding company where no two days are the same. As a Customer Service Executive, you’ll play a key role in ensuring smooth and timely delivery of shipments across the globe — keeping customers informed, operations running efficiently, and solving challenges along the way.

Responsibilities:

• Act as the main point of contact for customers regarding shipment status, inquiries, and issue resolution

• Coordinate with internal departments (operations, documentation, warehouse) to ensure smooth shipment handling

• Liaise with carriers, airlines, shipping lines, and overseas agents for booking and shipment updates

• Prepare and process shipping documents (e.g. Bill of Lading, Air Waybill, invoices, packing list)

• Monitor shipment progress and ensure timely delivery to customers

• Handle customer complaints professionally and provide effective solutions

• Ensure compliance with import/export regulations and company procedures

• Maintain accurate records of shipments and customer interactions in the system

Requirements:

• Diploma/Degree in Logistics, Supply Chain, Business, or related field

• At least 1–2 years of experience in freight forwarding or logistics industry preferred

• Familiar with import/export procedures and shipping documentation

• Knowledge of shipping systems (CargoWise, WiseNet) and warehouse management systems (SAP EWM, WMS) will be an advantage

How to Apply:

Qualified or interested candidates, please submit your updated resume by using the 'Apply Now' Button
We regret to inform that only shortlisted candidates would be notified.

Foong Sue Lee (Sophia)

Registration Number: R24119357
EA License Number: 18C9027

• 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.

Job Responsibilities:

• Handle quotation, delivery orders, invoices
• Filing of documents
• Perform basic data entry
• Generating and send out the statements of accounts
• Monitor and follow up on outstanding balances to ensure timely collection and payment
• General administrative support
• Any other ad-hoc tasks as given by Management from time to time

Job Requirements:

• Min. GCE 'N', 'O', NITEC Level or equivalent.
• Able to work independently and a good team player
• Able to multi-task and meet deadlines
• Proficient in Microsoft Office (Excel, Word)

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.

* 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 : Tuesday to Saturday, 8.30am to 6pm (5 days)

Job Description

Monitor and maintain records of construction materials and stock inventory.

Receive, check, and record incoming materials and deliveries.

Issue materials to site personnel according to approved requests.

Maintain stock movement reports and ensure inventory accuracy.

Coordinate with suppliers, the procurement team, and the project site.

Conduct regular stock counts and reconcile discrepancies.

Prepare inventory and material usage reports for management.

Ensure proper storage and housekeeping of materials.

Assist in monitoring material shortages and arranging replenishment.

Follow company safety and documentation procedures.

Requirements

Experience in construction / warehouse / inventory controlpreferred

Familiarity with Excel, inventory systems, and ERP is an advantage

Good communication and coordination skills

Able to work independently and under pressure

Knowledge of construction materials is preferred

Attention to details and good recordkeeping

We are seeking a diligent and organized General Office Clerk to provide administrative and clerical support to ensure the smooth day-to-day operations of our office.

Key Responsibilities:

·       Perform general administrative and clerical duties, including filing, photocopying, scanning, and document management.

·       Maintain accurate records and databases, ensuring all information is up to date.

·       Handle incoming and outgoing correspondence, including emails, letters, and courier arrangements.

·       Assisting preparing reports, forms, and other business documents.

·       Organize and maintain office files and records in both physical and electronic formats.

·       Support scheduling of meetings, appointments, and office activities.

·       Assist with data entry and updating company systems.

·       Coordinate office supplies inventory and place orders when necessary.

·       Provide administrative support to management and other departments as required.

·       Handle ad-hoc administrative duties assigned by supervisors.

Qualifications:

·       Minimum secondary school education or equivalent qualification.

·       Good organizational and time management skills.

·       Ability to work independently and as part of a team.

·       Attention to detail and accuracy in handling documents.

·       Good communication and interpersonal skills.

·       Positive attitude and willingness to learn.

·       Proficient in Microsoft Office – Word, PowerPoint and Excel

ABOUT US

As Southeast Asia’s #1 integrated logistics provider, Teleport is all about making logistics fast, affordable and reliable. 

Our mission? To move things across Southeast Asia better than anyone else. We’re focused on making next-day delivery a reality for all.

#TeamTeleport is guided by our values: Move with urgency — because time is crucial; Aim to pioneer — constantly innovating to stay ahead; Do it with intent — delivering with purpose and precision; and Keep it real — maintaining authenticity and transparency in all we do.

Learn more about Teleport here: https://www.teleport.it/ 

Key Responsibilities :

• Data Consolidation and Simplification :

- Collect, clean, and consolidate raw data from various sources or improvise it.

- Transform complex data sets into clear, understandable formats that can be easily interpreted by the team.

• Data Analysis and Insight Generation :

- Analyze data to identify trends, patterns, and anomalies.

- Provide actionable insights and recommendations based on data analysis to support business improvement and decision-making.

• Data Presentation :

- Develop and deliver presentations that communicate complex data and findings in a simplified and visually engaging manner.

- Utilize Google Sheets, Google Slides, and Google Docs to create clear and professional reports and presentations.

Qualifications:

• Analytical Skills : Strong numerical and analytical abilities with a keen eye for detail.
• Data Interpretation : Ability to interpret complex data and present it in a user-friendly format.
• Technical Proficiency : Proficiency in Google Workspace (Google Sheets, Google Slides, Google Docs) is preferred.
• Communication : Excellent written and verbal communication skills, with the ability to present data-driven insights effectively.
• Problem-Solving : Strong problem-solving skills and the ability to think critically about data and its implications for the business.
• Team Player : Collaborative mindset with a willingness to contribute to team efforts and learn from others.

Preferred Qualifications:

• Pursuing or completed a degree in Data Science, Statistics, Mathematics, Economics, Business, or a related field.
• Previous experience or coursework in data analysis or data visualization is a plus.

At Teleport, we’re all about creating a diverse and inclusive team where everyone feels valued. We believe that different perspectives make us stronger and help us do logistics better across Southeast Asia. We welcome people from all walks of life and celebrate what makes each of us unique. If you’re passionate about making a difference, we’d love to hear from you!

• Gain practical experience and exposure to real-world data analysis challenges.
• Opportunity to work with a dynamic and innovative team.
• Networking opportunities and potential for future employment.

Work-Life at #TeamTeleport

Unlimited training -You will have access to a wide range of learning resources including Notion!

Ditch the Suit & Tie - Be comfortable as you are, express your inner Fashionista… as long as it's not a birthday suit!

Growth opportunities - We embrace and take on opportunities to learn and grow at Teleport as we reimagine the way we do things. Yes, we meet the challenge head on as a team, and we celebrate together with you when you succeed and reap the rewards when the hard work pays off!

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.