Total 4,052 job vacancies in Singapore

What if your first job could teach you skills that last a lifetime?

We are looking for motivated and driven individuals to join our growing sales and marketing team. This role is ideal for individuals who enjoy working with people, are eager to develop new skills, and are looking for an environment that encourages personal and professional growth.

As part of our team, you will be involved in executing marketing campaigns, representing clients, and engaging with customers to build brand awareness and drive results. Comprehensive training and mentorship will be provided to support your development in communication, sales strategy, and leadership skills.

Key Responsibilities

• Represent clients and support the execution of marketing campaigns
• Communicate with customers and build strong relationships
• Understand client products and present them effectively
• Work closely with the team to achieve sales and campaign targets
• Participate in training sessions focused on sales, communication, and leadership development

What We Look For

• Positive attitude and willingness to learn
• Strong communication and interpersonal skills
• Self-motivated and proactive mindset
• Ability to work well in a team environment

What We Offer

• Structured training and mentorship
• A supportive and dynamic team environment
• Opportunities for career progression and leadership development
• Exposure to real-world sales and marketing strategies

Candidates with no prior experience are welcome to apply. Shortlisted candidates will be contacted within 24 hours.

What if your first job could teach you skills that last a lifetime?

We are looking for motivated and driven individuals to join our growing sales and marketing team. This role is ideal for individuals who enjoy working with people, are eager to develop new skills, and are looking for an environment that encourages personal and professional growth.

As part of our team, you will be involved in executing marketing campaigns, representing clients, and engaging with customers to build brand awareness and drive results. Comprehensive training and mentorship will be provided to support your development in communication, sales strategy, and leadership skills.

Key Responsibilities

• Represent clients and support the execution of marketing campaigns
• Communicate with customers and build strong relationships
• Understand client products and present them effectively
• Work closely with the team to achieve sales and campaign targets
• Participate in training sessions focused on sales, communication, and leadership development

What We Look For

• Positive attitude and willingness to learn
• Strong communication and interpersonal skills
• Self-motivated and proactive mindset
• Ability to work well in a team environment

What We Offer

• Structured training and mentorship
• A supportive and dynamic team environment
• Opportunities for career progression and leadership development
• Exposure to real-world sales and marketing strategies

Candidates with no prior experience are welcome to apply. Shortlisted candidates will be contacted within 24 hours.

Responsibilities

• Design and implement machine processes to improve machine efficiency, reliability, and product quality.
• Conduct process corner studies to optimize key parameters and ensure machines operate within definedspecifications.
• Analyze machine performance data to identify trends, improve accuracy, and resolve process-related issues.
• Develop and validate process control strategies to maintain consistent equipment performance and meet customer specifications.
• Lead equipment qualification activities (FAT / SAT).
• Define and document machine technical requirements, including detailed specifications, SOPs, and risk assessments (PFMEA).
• Perform root cause analysis on equipment and process issues, implementing corrective and preventive actions using methodologies such as 8D and DMAIC.
• Collaborate with design engineering teams to ensure manufacturability and maintainability of new equipment.
• Support new product development by scaling prototypes for production readiness.
• Train manufacturing and customer service personnel on process standards, troubleshooting, and best practices.
• Evaluate new customer materials and components for compatibility with existing equipment and processes.
• Provide technical support for customer escalations, including in-house and on-site troubleshooting.
• Ensure machine compliance with regulatory requirements such as JDEC/EIA standards throughout productdevelopment and implementation.
• Apply statistical process control (SPC) and Six Sigma methodologies to reduce variation and improve machine process capability.
• Drive continuous improvement projects to enhance equipment performance and reduce operational costs.

Qualifications

• Bachelor’s degree in engineering or related discipline.
• Over 3 years of experience in process or application engineering within semiconductor equipment manufacturing/OEM environment.
• Strong data analysis skills and using tools such as MS Excel, JMP, or Minitab and methodologies (SPC, Six Sigma, Lean) is required.
• Strong understanding of semiconductor equipment design, process integration, and manufacturing principles.
• Excellent problem-solving skills and ability to work cross-functionally with engineering, manufacturing, andcustomer teams.
• Programming experience with MS Excel macros or Python is a plus.
• Six Sigma Green Belt certification or higher is highly desirable.
• Willingness to work onsite in customer environments approximately 20% of the time.

GMP Technologies (S) Pte Ltd | EA Licence 11C3793 | EA Personnel: Novita Widjaja | Registration No: R22105960

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and innovators with expertise in bioinformatics and A.I. Its mission is to act as a trusted research node that unlocks the value of digital health data to support cutting edge science and digital health solutions that will benefit Singapore and Singaporeans. BDH is a national initiative created by Singapore's Bioinformatics Institute and hosted by the Agency for Science Technology and Research (A*STAR) in partnership with Ministry of Health (MOH) Singapore and is funded by Singapore's National Research Foundation (NRF). 

Description:

As Senior Manager / Assistant Director - Partnerships and Product, you are responsible for shaping BDH's product and services offerings. Your ability to deeply understand user needs, both stated an unstated, and translate those into technical requirements are critical to your success. You also possess excellent judgement when it comes to prioritizing the product and services development pipeline. 

You are a systems thinker and excellent communicator who can strike a balance between speed and compliance. Your work will bring together users, developers, and operations teams.

Responsibilities:

• Maintain an up-to-date pipeline of data cohorts that could be supported by BDH by surveying local and overseas scientific and innovation activities
• Maintain and drive BDH product and development roadmap
• Map user journeys and workflows for entire data lifecycle and define standard processes for data on-boarding, management, analysis and off-boarding
• Create specifications for development and services teams to implement
• Create and maintain controlled forms and document templates
• Create and maintain standard toolset for BDH analytical environment

Requirements:

• Degree in Science, Biomedical Engineering, Business Administration or related field
• Strong people skills
• Detailed and process oriented
• Excellent written and spoken communication skills
• Basic financial and accounting literacy, including the ability to conduct benefit/cost analysis
• MS Office proficiency (esp. MS Excel and PowerPoint)
• Previous product management and/or services management experience a plus
• Working knowledge of data science / analytics software (e.g. R, Python) and related libraries 
• Previous experience in bioinformatics and/or data science strongly desired

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Management and Analytics:
• Collect, clean and transform data from multiple internal and external sources, including APIs, space and booking management systems and smart meters.
• Build interactive and user-friendly dashboards, reports and data models to support business decision-making.
• Gather business requirements from different functional teams and translate them into suitable data requirements.
• Ensure data quality, consistency and governance across the organization.
• Conduct thorough data analysis to identify trends, patterns, and performance metrics that influence business decisions.
• Generate actionable insights through advanced analytics performed on diverse data gathered from large longitudinal cohorts, continuous sensors, and combined datasets.
• Develop compelling data-driven narratives for impactful storytelling to both internal and external stakeholders.
• Maintain library of OCIS data, reviewing sources of data, and recommend improvements to data sources and collection.
• Ensure data integrity and establish standardized reporting processes.
• Integrate OCIS data with broader university analytics to inform decision-making.
• Dashboard Optimisation:
• Conduct usability audit on existing dashboards.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Optimize layout for clarity and user experience.
• Develop predictive models to forecast resource needs eg based on faculty expansion, student enrolment, and operational changes.
• Champion Experimentation:
• Design, implement, and analyse A/B tests and multivariate experiments to drive continuous improvement.
• Stay updated with the latest management technologies and automation tools.
• Propose, implement, and optimize technological solutions to enhance data analysis, reporting capabilities, and overall transportation efficiency.
• Stakeholder Engagement & Collaboration:
• Develop clear documentation of metric definitions and logic to ensure alignment across teams. Eg user Manuals and guidelines for stakeholders.
• Engage regularly with cross-functional stakeholders to understand their workflows, pain points, and evolving data needs.
• Translate business questions into actionable metrics and analytical solutions to support procurement and FMS operations.
• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Provide user training and develop user guide and documentation.
• Automate manual processes and create efficient digital workflows.
• Support Environmental Sustainability in the Workplace:
• Collaborate with other teams on Sustainability related data and functions.
• Ensure alignment and accuracy of OCIS-provided data for organization-wide Sustainability reports.
• Participate in relevant meetings to understand stakeholder needs.
• Develop visuals that support communication and decision-making during Sustainability related meetings and reviews.
• Other duties as assigned.

• Bachelor's degree or higher in Computer Science, Information Systems, Engineering, Business Analytics, Statistics or any related quantitative discipline/field.
• Other disciplines can be supplemented with additional qualifications and prior experience in Data Science / Data Analytics.
• 3 to 5 years of experience in Data Analytics, Business Intelligence, Data Engineering or relevant quantitative experience in the Real Estate / Facilities industry.
• Proficiency in data cleaning, analytics & visualisation tools (Power BI, Tableau, SQL).
• Good understanding of AI-driven scheduling and IoT-based tracking for real-time space monitoring.
• Strong proficiency in Excel and hands-on experience with querying and manipulating large, complex datasets with tools e.g. SQL, Python.
• Strong proficiency in statistical analysis and data mining techniques.
• Strong proficiency in Python (or R) for advanced statistical analysis, data modelling, and automation (e.g., pandas, numpy, scikit-learn).
• Proficiency with data visualization tools (e.g., Tableau, Looker, Power BI) to build effective and clear dashboards.
• Experience using dataflowgen 2/ Microsoft fabric.
• Experience writing PowerBI DAX function.
• Experience designing interactive and user-friendly dashboards with UI principles.
• Familiar with machine learning techniques and predictive modelling.
• Strong analytical mindset and problem-solving abilities.
• Strong stakeholder management (technical and non-technical) and communication skills.
• Willingness to challenge the status-quo and motivate the team to foster the data-driven culture.
• Proven experience in data analysis, reporting, and solution development within the real estate / infrastructure / Utilities industry.
• Familiar with resource and booking management systems.
• Familiar with Al tools, chatbot development, or workflow automation is a plus.
• Good understanding of space planning and facilities management principles and techniques to optimize the use of resources while adhering to regulatory compliance.
• Strong writing and presentation capabilities.
• Experience in space management software (Planon, AutoCAD).
• Knowledge and experience in data governance, data security, and privacy practices.

#LI-JN2

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

• Position : HVAC Sales Engineer/Sales Manager (Chiller / Data Centre Cooling)
• Working hours : Monday to Friday | 8.30am to 5.30pm
• Location: Alexandra (few bus stops from Commonwealth MRT)
• Salary (commensurate with experience) : Basic + Transport allowance/reimbursement + AWS + Variable Bonus + Medical Benefits
• -Sales Engineer : Up to $5500
• -Sales Manager : Up to $8000

• Duration : Permanent

• Industry : Electrical equipment
   
  

Main Responsibilities:

• Identify and develop new business opportunities across commercial, industrial, and residential sectors
• Execute sales strategies to achieve revenue targets and expand market share
• Prepare and deliver technical presentations and customized proposals
• Provide technical consultation and recommend suitable chiller solutions
• Collaborate with engineering teams to deliver tailored system solutions
• Manage full sales cycle from lead generation to deal closure
• Handle contract preparation and negotiation in line with company policies
• Build and maintain strong relationships with clients and stakeholders
• Monitor market trends and competitor activities to identify opportunities
• Prepare sales forecasts, reports, and updates for management
• Support marketing initiatives, including events and sales materials

Requirements:
 

• Degree in Mechanical, Electrical, or Energy Engineering, or relevant qualifications/experience in HVAC or technical sales
• At least 3 years of relevant experience in HVAC / chiller systems sales or related field
• Candidates with experience in chiller service engineering or related technical roles are encouraged to apply
• Strong commercial acumen with excellent negotiation and presentation skills
• Ability to translate technical concepts into customer-centric solutions
• Proven ability to manage complex, solution-based sales cycles

Email me at joie@searchpersonnel.com.sg

 ***We do not charge our candidates nor bind them with any contract.***

 Joie Chang

 Deputy Consulting Director

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.
 

• Contract role with leading bank in Singapore with 2 headcounts ending 31st Dec 2026
• This role will sit in Account Control Monitoring team.

Responsibilities:

• Execute remediation plans to cleanse and standardize client data in accordance with the bank’s requirements
• Ensure prioritized data quality issues raised are promptly identified and remediated
• Work with cross-functional teams to identify and implement more efficient solutions for data quality issues, including automation of manual tasks
• Investigate appropriate corrective actions by reviewing source documentation where required
• Perform the corrective actions and where deemed required, recommend process or systems change or preventive controls to avoid recurrence
• Provide weekly reports on the data remediation progress for efficient tracking
• Ensure appropriate and confidential handling/sharing of sensitive client data in compliance with the bank’s policies and procedures
• Identify red flags related to data quality or compliance and escalate in accordance with policy and procedures
• Ensure timely follow-up and/or escalation to relevant stakeholders as required
• Complete delegated and ad-hoc tasks within the established timeframes to support the overall data remediation objectives

Qualifications:

• Bachelor's degree or at minimum diploma holder
• Meticulous and detail oriented
• At least 2 years of experience relating to banking operations, preferably in Client Onboarding & Maintenance functions, client documentation and static data maintenance
• Able to conduct and apply quality testing approaches in day-to-day activities
• Good written and verbal communication skills
• Able to thrive in a team, is highly approachable and open minded
• Able to be proactive in establishing processes and adopting best practices
• Is methodological with an eye for details and possess the ability to work independently
• Proficient in MS Office, particularly Excel, PowerPoint

Next Steps

• Drop your resume and contact us to follow-up, or send your resume to amos.tan@adecco.com
• Only shortlisted candidates will be contacted

Amos Tan Jun Han

EA Licence Number: 91C2918

Personnel Registration Number: R23113385

Key Responsibilities:

• Design, build, and maintain scalable, reliable data pipelines to support AI/ML models and analytics in global supply chain and planning operations.

• Collaborate with data scientists and AI engineers to prepare and transform structured and unstructured data for modeling and simulation.

• Develop and optimize ETL/ELT processes using tools like Databricks, Spark.

• Ensure data quality, versioning, and lineage across the ML lifecycle.

• Support the deployment and monitoring of AI models in production environments.

• Translate business requirements into technical solutions, working closely with cross-functional teams.

• Contribute to the development of data services and APIs that power intelligent decision-making tools.

Functional Knowledge

• Masters Degree in Data Science, Computing, AI/ Analytics

• 7-10 years of expertise in SQL, Python, and distributed data processing (e.g., Spark, PySpark).

• Experience with cloud-based data platforms (Azure).

• Experience with LLM and Agentic AI

• Familiarity with MLOps tools and practices (e.g., MLflow) is a strong advantage.

• Experience working with AI/ML frameworks (e.g., TensorFlow, PyTorch) or supporting model training and deployment is a strong advantage.

• Understands the role of data in driving supply chain and planning decisions.

• Able to align data engineering solutions with business KPIs and operational goals.

• May lead technical workstreams or mentor other engineers.

• Takes ownership of data infrastructure components and contributes to architectural planning.

• Solves complex data challenges with creativity and precision.

• Proactively identifies and resolves data quality, performance, and scalability issues.

• Enables the success of AI/ML initiatives by ensuring robust, scalable, and high-quality data infrastructure.

• Supports real-time and predictive decision-making across global operations

• Communicates effectively with data scientists, AI engineers, and business stakeholders.

• Comfortable working in a fast-paced, collaborative environment with evolving priorities.