Total 4,052 job vacancies in Singapore

Location: Woodlands

Working hours: Mon to Fri, 830am to 530pm

The Job:

• Establish standard operating procedures for product engineering and manufacturing processes on the testing floor
• Conduct Failure Mode and Effects Analysis (FMEA) to identify and mitigate potential process failures
• Review and analyze test yield data to identify issues and implement yield improvement actions
• Determine disposition for hold lots based on yield and quality analysis
• Perform device and hardware tester qualification, correlation, and generate associated reports
• Develop and execute Design of Experiments (DOE) to optimize testing and manufacturing processes
• Resolve technical issues related to device testing to support manufacturing operations effectively
• Liaise with customers to understand and implement new production specifications during New Product Introduction (NPI)
• Coordinate device startup and transfer activities to ensure smooth production transitions

The Talent:

• Degree in Electrical & Electronics Engineering with min 1 year of relevant working experience.
• Fresh graduates are welcome.
• Strong team player with good communication skills.
• High level of ambition and a strong desire to learn.
• Singaporeans only.

Next Step:

• Interested applicants, please send your resume to yingchong.koh@adecco.com with your current and expected salary.
• All shortlisted candidates will be contacted.

Koh Ying Chong

EA License No: 91C2918

Personnel Registration Number: R23116418

Requirements:

• Excellent ethics and positive learning attitude

• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)

• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm

• Lead and drives a team towards a common goal

• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system Performance based

• BUSINESS ADVANCEMENT

• Highly motivated, FUN and FAMILY-liked environment

• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE!

We regret to inform you that only shortlisted candidate will be notified.

!ASAP!! B2B Junior Sales and Marketing Role

Key responsibilities:

✨ Liase with customers and clients professionally

✨ Build positive client relationships

✨ Attend to customers enquires and close followups

Who we are looking for:

Looking for a fun and vibrant environment that supports growth? We welcome you!

Responsibilities:

• Face to face interactions with customer
• Assist in coaching for newer trainees
• Developing yourself through workshops provided here

✈️Opportunities:

• Frequent overseas trips (Getaway almost everyone!)

• Leadership roles

• Personal development workshops by performing individuals

Requirements:

• Team player

• Good learning attitude

• Hungry for growth

If you are keen to find out more, kindly click apply! We regret that only suitable candidates will be notified!

Data Engineer

Roles &Responsibilities

We are seeking Data Engineer to establish and lead our data infrastructure. The successful candidate will be responsible for building our data engineering practice from the ground up, implementing robust data systems for industrial AI applications, and establishing best practices that will power our semiconductor manufacturing AI solutions.

About Innowave Tech Singapore

Innowave Tech is an Artificial Intelligence (AI) company offering solutions for the Semiconductor and Advanced Manufacturing industry. Utilizing deep industrial domain knowledge, proven experience, and innovation, we provide expert AI solutions and systems to address various industry pain points.

CLT Programme Overview

This role is part of a structured Company-Led Training (CLT) Programme designed to accelerate capability development in data engineering, AI, and industrial data applications.

Selected candidates will undergo structured On-the-Job Training (OJT), supported by real-world projects, mentorship, and targeted training courses. Participants will gain hands-on experience in building data infrastructure, developing ETL pipelines, managing industrial datasets, and supporting AI/ML and LLM applications within advanced manufacturing environments.

This programme equips participants with practical skills in data governance, data platforms, and secure deployment practices to support industrial AI solutions in the semiconductor and advanced manufacturing industries.

Your Role and Impact

As our Data Engineer, you will have a foundational role in building robust data infrastructure to handle manufacturing data and LLM applications, while establishing secure data practices that power our AI solutions for advanced manufacturing operations.

What You’ll Do

1.      Select and manage on-premises technologies suitable for secure and efficient operations.

2.      Build robust pipelines to collect, clean, and transform diverse datasets including process data, sensor data, image data, and human annotations.

3.      Ensure secure, maintainable, and scalable deployment of data infrastructure.

4.      Define and enforce best practices in data governance, privacy, and access control.

5.     Collaboration & Deployment.

What We’re Looking For

* Educational Background:

·      Minimum Poly or Bachelor Degree in Computer Science, Engineering, or a related field.

·      Only Singaporean, Singapore PR can apply due to project requirements.

* Technical Expertise:

• 3+ years of experience in data engineering roles, ideally with on-premises or hybrid infrastructure.
• Proven track record of building scalable data systems from ground up in a startup environment.
• Proficiency in Python and/or Java for data pipeline development.
• Solid experience with ETL frameworks (e.g., Apache Airflow, Dagster) and streaming systems (e.g., Kafka).
• Experience designing and maintaining SQL and NoSQL databases.
• Experience building and operating data lakes and data catalog.
• Familiarity with containerization (Docker), version control (Git), and CI/CD practices.

* Soft Skills:

• Excellent communication skills and ability to collaborate with cross-functional technical and non-technical teams.
• Excellent problem-solving and debugging abilities.
• Ability to balance engineering tradeoffs.

* Bonus Skills:

• Experience with manufacturing data systems, especially SPC, SCADA, and industrial sensor protocols (e.g., OPC UA, MQTT, Modbus).
• Familiarity with AI/ML pipelines and tools (e.g., ML flow).
• Knowledge in vector databases and LLM data infrastructure.
• Prior experience working in or with regulated industries (e.g., semiconductor, automotive, aerospace).

Position:                          Data Processor (CAD)

Department :                  Hydrographic Survey Operations

About the Role

We are seeking a skilled and detail-oriented Data Processor (CAD) to join our Hydrographic Survey team. The successful candidate will be responsible for processing hydrographic and geospatial survey data, preparing CAD deliverables, ensuring data quality, and supporting offshore and nearshore survey projects.

Key Responsibilities

·      Process hydrographic survey data acquired from multibeam echo sounders, single beam echo sounders, side-scan sonar, motion sensors, and other survey equipment.

·      Prepare bathymetric charts, seabed maps, survey plans, profiles, and as-built drawings using AutoCAD and related software.

·      Perform data cleaning, validation, quality control, and quality assurance checks.

·      Generate survey deliverables in accordance with client specifications and industry standards.

·      Maintain survey databases, project files, and document control records.

·      Assist in the preparation of technical reports, charts, and project submissions.

·      Coordinate with Hydrographic Surveyors, Party Chiefs, and Operations Manager to ensure timely delivery of project outputs.

·      Support offshore and nearshore survey projects by processing and interpreting survey data.

·      Maintain processing records, logs, and documentation.

·      Ensure compliance with company QHSE and ISO requirements.

Requirements

·      Diploma or Degree in Surveying, Geomatics, Geospatial Science, Engineering, GIS, or a related discipline.

·      Minimum 2 years of experience in survey data processing, CAD drafting, or hydrographic survey operations.

·      Proficiency in AutoCAD.

·      Experience with hydrographic processing software such as Qimera, Terramodel, Qinsy, ArcGIS, or similar software is an advantage.

·      Knowledge of hydrographic survey principles and bathymetric data processing.

·      Familiarity with IHO standards and offshore survey deliverables is preferred.

·      Strong attention to detail and analytical skills.

·      Ability to work independently and meet project deadlines.

·      Good communication and teamwork skills.

Preferred Experience

·      Hydrographic Survey and Offshore Survey projects.

·      Bathymetric data processing and chart production.

·      GIS and geospatial data management.

·      Offshore construction support, dredging, cabler route, pipeline route, or port development projects.

What We Offer

·      Competitive salary and benefits package.

·      Training and career development opportunities.

·      Exposure to local and international marine survey projects.

·      Opportunity to work with advanced hydrographic and geospatial technologies.

Interested applicants are invited to submit their updated resume, expected salary, and availability for consideration. Only short listed candidate will be notified.

Fresh graduates with strong AutoCAD and GIS skills are encouraged to apply.

About the Role

We are looking for a technically strong and analytically driven Data Scientist to design, build, and maintain end-to-end data and AI/ML solutions.

You will work across the full data lifecycle — from developing ETL pipelines and managing cloud platforms to deploying machine learning models and collaborating with stakeholders to drive meaningful outcomes.

What You Will Do

Data Engineering & AI/ML Development

• Design, build, deploy, and maintain end-to-end data and AI/ML projects across big data and cloud platforms
• Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured and unstructured data from on-premise and cloud sources
• Build and manage enterprise data systems including data lakes, analytics platforms, and AI platforms

Project & Product Management

• Perform project management and product owner activities for the development, testing, and maintenance of enterprise data systems
• Apply Agile methodology across the full development lifecycle — from requirements gathering and sprint planning through to testing and deployment
• Manage timelines, deliverables, and stakeholder expectations across concurrent workstreams

Stakeholder Collaboration & Innovation

• Collaborate with business users, project teams, government agencies, and industry partners to explore and evaluate new AI/ML and data technologies
• Identify and develop deployable solutions that address operational needs and advance strategic goals
• Stay current with emerging data, AI, and cloud technologies — particularly Generative AI and LLM applications

What We Are Looking For

• Degree in Computer Science, Data Science, Statistics, Economics, or a related discipline with strong quantitative content
• Hands-on experience in data analytics, data engineering, or AI/ML project development

• Proficiency in programming languages such as Python, R, Java, Scala, or SAS for data science and data processing applications
• Strong knowledge of cloud platforms (e.g. AWS, Azure, GCP) and big data technologies
• Demonstrable experience with data/ML techniques — data mining, data engineering, machine learning, natural language processing, or similar
• Experience with Generative AI technologies and LLM models is a strong advantage
• Singaporeans Only

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Meta designs, builds, leases and operates innovative and efficient data centers. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring capacity availability, speed to market, risk management, flexibility, and capital and operational cost efficiency. Meta is seeking an experienced, organized and driven development (program) manager to join the Data Center Site Development team and help build our rapidly scaling data center portfolio.

A successful Development Manager candidate demonstrates the ability to think both analytically and strategically, to dive into the details and also assess projects from a global view, and to develop creative solutions and navigate the challenges that accompany projects of large magnitude and scale. The Development Manager is also an experienced project manager who communicates effectively, forms partnerships, and influences and drives desired outcomes with internal and external stakeholders.

Responsibilities

• Site Evaluation & Selection
• Evaluate opportunities for new data center sites, campus expansions, and strategic land acquisitions by conducting market assessments, including analysis of power availability, fiber connectivity, labor markets, land costs, tax environments, and natural hazard exposure
• Lead the diligence and development process to vet prospective sites and assess site risks and opportunities by analyzing regional and site-specific information pertaining to:
• Permitting and land-use data
• Federal, state, and local tax structures, incentive programs, abatement opportunities, enterprise zone designations, and economic development agreements
• Energy availability, cost, and reliability — including renewable energy procurement pathways, grid capacity, interconnection timelines, and utility rate structures — as well as water supply, capacity, and long-term sustainability
• Natural hazard, floodplain, seismic, and climatological data
• Legal, physical risk, and financial implications, including title encumbrances, easement constraints, environmental liabilities, and geotechnical conditions
• Develop and maintain site evaluation scorecards and comparative frameworks that enable data-driven decision-making across multiple candidate locations
• Conduct preliminary desktop and in-person site visits to validate data findings and assess physical site conditions, access, and surrounding land use compatibility
• Regulatory & Permitting
• Facilitate compliance efforts related to real estate, land use, and utility regulatory matters
• Facilitate application and management of environmental permitting processes, including preparation of environmental impact assessments, stormwater management plans, wetland delineation reviews, air quality permits, noise studies, and endangered species consultations
• Facilitate interpretation of regulations and assess their impact on Meta's data center footprint, operations, and future expansion plans
• Monitor legislative and policy developments related to energy, water, land use, and data center operations, proactively identifying risks and opportunities for Meta's portfolio
• Ensure ongoing compliance with all conditions of approval, permit requirements, and development agreements throughout the construction and operational lifecycle of each site
• Utility & Infrastructure Negotiations
• Facilitate negotiations with electric utility companies to secure reliable, cost-effective power supply agreements, including terms related to capacity, redundancy, rate structures, renewable energy commitments, interconnection timelines, and infrastructure cost-sharing
• Facilitate negotiations with water and wastewater utility providers to establish supply agreements, secure adequate capacity for cooling and operational needs, and ensure compliance with discharge and conservation requirements
• Maintain strong working relationships with utility planning and engineering teams to stay ahead of infrastructure constraints and future capacity limitations
• Advocate for infrastructure improvements or upgrades necessary to support data center development, including transmission line extensions, substation upgrades, and water main improvements
• Stakeholder coordination & communication:
• Take the lead role in organizing cross-functional communications and tracking progress toward on-time delivery of projects by key internal and external stakeholders in support of site selection and development efforts
• Work closely with the Site Selection Manager and other key project team members to ensure alignment among all internal stakeholders and to identify creative, efficient ways to overcome obstacles in the site development process
• Coordinate cross-functional responses to external parties such as government authorities, utility companies, regulatory bodies, industry associations, economic development organizations, and community groups
• Serve as the primary liaison between internal teams and external consultants (land-use attorneys, environmental engineers, civil engineers, lobbyists, and real estate brokers) to ensure deliverables are completed on time and to specification
• Facilitate regular project status meetings, maintain action item trackers, and produce executive-level progress reports for leadership review
• Strategy & Portfolio Management
• Support the development of Meta's near-term and long-term data center location strategy and leased portfolio plan
• Support the preparation of project recommendations, business cases, and investment proposals for presentation to senior management for approval
• Support a portfolio of existing sites under construction or in operation to facilitate on-time and quality delivery
• Track and monitor ongoing site development activities, including agreement management, milestone tracking, financial obligation compliance, and renewal/amendment negotiations
• Maintain a comprehensive database of site-specific entitlements, permits, agreements, and regulatory commitments for all sites within the assigned portfolio
• Process Improvement & Tools
• Develop scalable, efficient tools and processes to improve delivery, communication, and knowledge management for data center site development activity
• Create and maintain standardized templates, checklists, and workflows for site evaluation, permitting, and stakeholder engagement
• Identify opportunities to leverage technology to enhance team productivity and decision-making
• Document lessons learned from completed projects and incorporate best practices into future development activities
• This role requires 25-50% travel

Minimum Qualifications

• Bachelor's degree in Real Estate, Engineering, Computer Science, Operations or Business
• 5+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Experience in managing multiple projects and coordinating with internal staff, external consultants, vendors, and other stakeholders across multiple time zones
• Experience with a range of project management tools and software, (e.g., Google Suite, Excel, PowerPoint, project management software, etc.)

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 7+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Advanced / Master’s degree in the academic fields listed above
• 7+ years of experience with evaluation and planning for land use diligence, power and water utilities, cooling technology, site development, entitlements, permitting

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

• MNC Company

• Basic $4000 - $4600 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Kallang

• Working day: Monday to Friday

• Working hours: 9am to 6.15pm
  

Job Responsibilities:

• Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and Keyence software.

• Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

• Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

• Other ad hoc duties as assigned.

Job Requirements:

• Minimum Bachelor's Degree in Marketing, Business and Engineering or related field with minimum 3 years professional marketing experience (B2B preferred).

• Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

• Knowledge of Power Automate is a plus.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Build Scalable Data Solutions
• Drive Impact Through Data

About Our Client

This organisation is a well-established player in the insurance sector, known for its focus on technology-driven solutions. With a strong presence in the industry, it prioritises innovation and efficiency to deliver exceptional services to its customers.

Job Description

• Oversee day-to-day data operations to ensure seamless functionality and compliance.
• Collaborate with cross-functional teams to address data-related challenges and implement solutions.
• Monitor and maintain data quality, accuracy, and integrity across platforms.
• Develop and optimise workflows to enhance operational efficiency.
• Generate reports and insights for stakeholders, highlighting key metrics and trends.
• Ensure adherence to industry regulations and internal governance policies.
• Provide leadership and support to the data operations team.
• Identify opportunities for process improvements and drive their implementation.

The Successful Applicant

A successful Data BAU Lead should have:

• Relevant qualifications in data management, technology, or a related field.
• Experience in managing data operations within the insurance industry.
• Strong analytical skills and a keen eye for detail.
• Proficiency in data tools and technologies relevant to the role.
• Proven ability to lead and manage teams effectively.
• Excellent communication and stakeholder management skills.
• Knowledge of compliance requirements within the insurance sector.
• At least 8+ years of Data Engineer Experience
• Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
• At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue.
• 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred)

What's on Offer

• Temporary role offering valuable experience in the insurance industry.
• Opportunity to work in a technology-driven environment.
• Exposure to key stakeholders and cross-functional collaboration.

If you are ready to take on the challenge of a Data BAU Lead role in the insurance sector, apply now to join this innovative tea

Contact

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

Quote job ref

JN-062026-7039066

Phone number

+65 6643 9741

Michael Page International Pte Ltd | Registration No. 199804751N   

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Position Summary:

We are seeking a highly skilled and motivated Senior Data Engineer to join our team and play a crucial role in building and maintaining our common unified framework, data pipelines, data models, data products, and data engineering tooling.

Position Responsibilities:

• Design, develop, and maintain a common unified data framework that enables seamless integration of data from various sources and systems.

• Create and optimize data pipelines for ingesting, processing, transforming, and storing large volumes of structured and unstructured data.

• Work closely with data scientists and analysts to understand their data requirements and translate them into robust data models.

• Develop and maintain data engineering tooling to improve data ingestion, data quality, data monitoring, and data governance processes.

• Troubleshoot and resolve data pipeline and data-related issues to ensure uninterrupted data flow.

• Monitor data pipeline performance, identify bottlenecks, and optimize data processing and storage for efficiency.

• Evaluate and integrate third-party data tools and technologies to enhance the data engineering capabilities of the organization.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Position Requirements:

• Proficiency in any object oriented or/and functional programming languages such as Python, Scala, or Java for data processing and data manipulation.

• Solid understanding of data quality, data governance, security, and lineage concepts.

• Strong ability to troubleshoot data-related issues effectively.

• Excellent communication and collaboration skills to work effectively with cross-functional teams.

• Demonstrated passion for data engineering, automation, and continuous learning

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.

Preferred Experience/Education/Skills:

• Bachelor's or master's degree in computer science, Engineering, or a related field.

• At least 6 years of experience working as a Data Engineer with a proven track record in designing and building production grade data pipelines and data models.

• Experience applying AI or intelligent techniques to improve data quality, monitoring, or development workflows.

• Knowledge of C# web development using Microsoft .NET would be advantageous.

Want to be part of a team that values real personal growth, mentorship, and celebrating wins together?

This is an entry-level position designed for candidates looking to build valuable life skills and start their career journey. Join us to gain real-world experience in marketing while receiving mentorship and development opportunities in a high-energy team environment.

Join our team to develop professional customer relationship skills while supporting sales and marketing initiatives.

Responsibilities

• Understand customer needs and provide suitable solutions
• Support customer engagement activities
• Assist with marketing campaigns and promotions
• Work with the team to improve customer experience

Requirements

• Customer-oriented mindset
• Strong communication skills
• Responsible and adaptable
• Enjoy interacting with people
• Training will be provided

Benefits

• Comprehensive training programme
• Career growth opportunities
• Improve customer service and communication skills
• Collaborative working environment
• Incentive opportunities
• Exposure to different business activities and events

Work with a team that believes in growth, mentorship, and celebrating wins together.

We are looking for enthusiastic individuals to join our sales and marketing team and grow alongside a group of motivated professionals.

If you’re motivated, eager to learn — we want to meet you.

This isn’t your typical 9–5. It’s an opportunity to grow from day one, gain real-world experience, and be part of a team that genuinely wants to see you win. No prior experience needed — just a positive mindset and learning attitude. Structured training will be provided from Day 1.

The Opportunity

We work with established brands to bring their campaigns to life through creative and strategic execution. You’ll take on meaningful work, learn practical skills, build confidence, and develop professional and personal skills with strong mentorship and team support.

What You’ll Be Doing

• Collaborate with the team to execute and support marketing campaigns
• Create meaningful customer engagement experiences
• Brainstorm campaign ideas and contribute to problem-solving
• Develop communication, confidence, and leadership skills

What’s in It for You

• Travel Exposure – Regional and international opportunities 
• 1-on-1 Mentorship - Personalised coaching and development support
• Clear Career Growth – Clear progression and advancement pathways
• Supportive Team Culture - A team that grows with you
• Flexible work arrangement 
• Performance-based incentives (details shared during interview)

Job Details

Position: Full-Time

Location: Singapore (Hybrid work arrangement; office-based activities required)

Schedule: Monday to Friday

Start Date: Immediate / Within 1–2 Weeks

No Experience? No Problem.

We hire based on attitude, not background. If you’re hungry to learn, open to growth, and be part of a high-energy team, we want to meet you. 

Shortlisted candidates will be contacted within 24 hours.

✔ Semicon MNC
✔ Tampines - Transport provided to/Fro

Job Details:

• Duration: 6 months contract (can renew/convert)
• Salary: Up to $2,900 Basic + Fixed $130 Allowance (Food/Transport) + AWS + VB
• Working hours: Mon to Fri 830am to 530pm (until Oct 2026), after Oct 2026 will be 4 days work, 3 days off (8am to 8pm)

Job Scope:

• Coordinate import & export shipments with forwarders & vendors
• Prepare shipping documents – invoices, delivery orders, Certificate of Origin
• Handle permit checking & ensure compliance with Singapore Customs
• Liaise with forwarders on import/direct shipment arrangements
• Maintain accurate records for audits & reporting
• Update stakeholders on any shipment issues (delays, cargo damage, etc.)

Requirements:

• Some experience in logistics / shipping / import & export preferred but entry level candidates welcome too
• Familiar with import/export processes & logistics operations
• Proficient in Microsoft Excel

*To apply, send your CV/Resume to josephyap[at]recruitfirst.com.sg with reason(s) for leaving past employments, last drawn and expected salary.

All applications will be treated with strictest confidentiality. We regret that only shortlisted candidates will be notified. Thank you.

RecruitFirst Pte Ltd E.A. 13C6342

Joseph Yap Shi Hao (R1767577)