Total 62 service engineer job vacancies in Transportation / Logistics category in client site sgp singapore 14 tuas ave 1

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

Job Description:

• Day-to-day customer service and procurement activities - Responsible for managing daily customer service operations and manage entire supply chain process from procurement to distribution to ensure timely and cost-effective delivery of products.
• Demand planning - Work closely with sales and marketing teams to forecast demand accurately.
• Production Planning - Collaborate with Operations team to develop production schedules and optimize the production planning that align with demand forecasts.
• Inventory Management - Work within the team to implement robust inventory control measures to maintain optimal stock levels. Monitor and analyze inventory turnover, taking proactive measures to prevent shortages or overstock situations.
• Logistics Coordination - Coordinate logistics activities, including transportation, shipping, and customs clearance. Optimize transportation routes and methods to reduce costs and enhance efficiency.
• Relationship Management - Build and maintain strong relationships with local and overseas suppliers and customers. Develop good vendor management with warehouse personnel for effective inventory control.
• Licensing - Manage all license requirements for Import/Export & transportation with compliance to Government Authority of Singapore.
• Collaboration and Communication - Work with product management team to review product specification/technical data. Collaborate with quality control teams to ensure that all products meet industry standards and customer specifications.
• Perform any other ad hoc tasks assigned by Team leader / Management.

Job Requirements:

• Degree in Chemistry / Chemical Engineering or any Engineering field.
• Minimum of 2 Years of working experience in a related field.
• Preferably with related experience in Chemical Distribution/ Semiconductor industries.
• Excellent written and spoken communication skills in English and ideally proficient in Chinese (in order to negotiate and handle queries with overseas Mandarin speaking suppliers/vendors in regards with the import & export shipment arrangement matters).
• Hands on experience using SAP/Navision system, strong in Microsoft Office, especially Excel would be an advantage.
• Experience in ISO9001, ISO14001 and ISO 45001.
• Ability to prioritize workload, make systematic decisions under pressure.
• Possess an entrepreneurial ‘can do’ mindset, able to work in a start-up environment.
• Possess excellent interpersonal skills, strong problem-solving skills and sense of ownership.
• Willing to travel if required.

Job Description:

- Prepare weekly reports on vehicle repair status.

- Assist in writing meeting minutes to track outstanding issues.

- Conduct team briefings before starting work.

- Coordinate and manage team assignments and vehicle parking allocation.

- Plan and monitor vehicle sequencing and status for operational tasks.

- Provide documentation support to the Operations Leader for work-related needs.

Job Requirements:

- Degree in Engineering (Mechanical, Electrical, Hydraulic, Automotive, Electrical & Electronics, Mechatronics) or a Diploma in a related field with 5 years of relevant industry experience.

- Strong team player.

- Ability to lead a team effectively.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

• 5 days, Tuas, Transport provided
• Hybrid mode arrangement
• Lots of learning opportunties
• $4000 - $4200 basic, AWS
• Allowances, performance bonus

Administrative Support:

• Manage customer orders and data in ERP systems.
• Ensure timely reporting to stakeholders and maintain accurate records.

Sales and Customer Support:

• Provide solutions and technical advice to customers.
• Evaluate customer requirements and ensure compliance with company terms and conditions.
• Coordinate cost estimations and timelines for deliveries.

Order Management:

• Oversee order handling, ensuring timely delivery and accurate reporting.
• Coordinate with supply chain teams for logistics and transportation.

Teamwork and Innovation:

• Identify process improvements and support the development of innovative solutions.
• Foster collaboration among departments.

Quality Control:

• Inspect products to meet quality standards and customer expectations.

Requirements:

• Possess a Diploma in Engineering or Supply Chain Management
• MInimum 2-3 years of relevant experience in Engineering, Marine/Oil & gas environment
• Strong knowledge of parts sourcing, order processing, and client engagement.
• Ability to manage delivery and invoicing efficiently.
• Responsible and with positive attitude

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

• 5 days, Jurong, Transport provided
• $4200 - $5000 basic salary, AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year of experience in Process Engineering relating to Supply Chain
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

• Ensure standards for food quality and preparation
• Co-ordinate with logistics department for timely collection and delivery schedules
• prepare dally delivery list for frozen meats and others
• Manage all frozen meat delivery and assist to production and others
• Able to multi-tasks and dwork under pressure
• Able to handle heavy stuffs around 20-30kg
• Able to work long hours and work on weekend

QUALIFICATIONS

• Physically fit
• Able to work in cold environment
• Class 3 Licence
• Forklift Licence (if have is a plus point)

We are looking for a candidate to independently administrate the transport operation of our company's various projects.

The role is multi faceted, and has deep involvement in customer service, transport co-ordination, planning and deployment of routes. Having an eye for transport co-ordination and safety procedures as well as being careful and meticulous is an important attribute of this position.

The ability to multi-task, communicate and manage drivers is critical for the success in this role.

The candidate is required to:

1. Receive route orders and plan on-boarding procedures for passengers;

2. Co-ordinate with customers and other stakeholders on their queries in process of onboarding;

3. Ensuring that routes are running effectively and efficiently;

4. Plan, route and co-ordinate with suitable drivers on their routes;

5. Assist in training and ensuring that service quality is upheld;

6. Deal with feedback, queries and complaints positively and effectively;

7. Other duties as required to fullfil the requirement of the position.

To succeed in this role, the candidate must have the following attributes:

1. Strong spoken and written communication skills, is patient and able and comfortable in communicating with people at all levels and from all walks of life;

2. Meticulous, able to multi-task and is focused in cordinating the tasks on hand to ensure deliverables are met to customers' satisfaction;

3. Enjoys multi-faceted co-ordination and is a strong team player;

4. Able to adopt IT processes, is adept in the use of technology and will train crew and drivers in the use of technology to facilitate the workflow;

5. Good sense of road direction;

6. Able to adapt and work independently as well as in a team and can function competently under pressure;

7. A willing and cheerful learner, worker and leader.

Brief Summary

• Basic $4000 + AWS + VB + Medical benefits
• 5 Days : 8.30am-5.30pm
• Working Location @ West
• AL 14 Days, Birthday Leave, Annual health check-up, Customized Gift for holiday season
• Required to attend a 2-week training session in Shanghai HQ
• New Headcounts

Responsibilities

• Assembly, testing, and maintenance of mechanical, electronic, or automated equipment.
• Adhere to operational protocols to ensure quality control and proper functionality of equipment.
• Collaborate with engineers to diagnose malfunctions and enhance system performance.
• Assist in documenting testing procedures and results.
• Maintain a safe and organized work environment, complying with workplace safety standards.
• Conduct wafer testing on the wafer platform according to the schedule.
• Perform die testing on the die platform as scheduled.
• Execute die sorting on the sorting platform based on the timeline provided.
• Uphold and manage 6S standards within the Fab environment.

Requirements:

• Min 1 year relevant experience
• Proficiency in handling mechanical, electronic, or automated equipment.
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY Now” or email to [email protected]

**Only shortlisted candidate would be notified**

EA Reg. No: R1988238

Responsibilities:

• Transport waste materials
• Inspect vehicles for mechanical/safety issues and perform preventative maintenance
• Document and log work
• Report defects, accidents or violations

Requirements:

• Have experience as Truck Driver
• Minimum Class 4 driving licence
• No recent driving violations
• 6 days work week
• Location : Tuas

Job Descripton

• Repair and Maintenance of Heavy Vehicle (10 wheels lorry)
• Repair and Maintenance of Excavator (including Kobelco, komatsu and caterpillar excavator)
• Repair and Maintenance of Forklift
• Prior Hands-on experience is a must.
• Must guide junior mechanic in repair and maintenance of all company's fleet

Requirement

• Possess at least a class 3 Driving licence
• 6 days work week
• willing to work in hot and dusty environment.

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only

Are you a skilled mechanic with experience in servicing and repairing buses and heavy vehicles? You just found yourself the right place! We are currently hiring Workshop Mechanics for Heavy Vehicles and Buses to join our dedicated team. With us, you will have the opportunity to grow professionally and contribute to the success of our workshop.

5.5 days’ work week

Mondays to Fridays: 8:00 AM to 5:00 PM

Saturdays: 8:00 AM to 12:00 PM

Work Location: 8 Gul Circle Singapore 629564

Opportunity to work in a well-ventilated and well-lit repair workshop

Exposure to a wide range of bus and truck models

Continuous learning and skill development

Supportive and collaborative work environment

Competitive salary and benefits package

Your responsibilities will include but not limited to:

Perform servicing and repairs on buses and heavy vehicles

Conduct component overhaul as required

Carry out fault diagnosis to identify and address mechanical issues

To succeed in this role, you should possess the following qualifications and skills:

Minimum of 2 years of hands-on experience in servicing and repairing buses and heavy vehicles

Candidates with proven strong technical and diagnostic skills will be considered for a senior technician position

Possession of a valid Singapore LTA-issued Class 3 driving license will be advantageous

If you are a dedicated individual with a positive attitude, excellent technical skills and a desire to succeed, we would love to hear from you. To apply, click the "Apply" button.

We look forward to welcoming you on board.

Note: ONLY shortlisted candidates will be contacted for further selection processes.

• Ensure standards for food quality and preparation
• Co-ordinate with logistics department for timely collection and delivery schedules
• prepare dally delivery list for frozen meats and others
• Manage all frozen meat delivery and assist to production and others
• Able to multi-tasks and dwork under pressure
• Able to handle heavy stuffs around 20-30kg
• Able to work long hours and work on weekend

QUALIFICATIONS

• Physically fit
• Able to work in cold environment
• Class 3 Licence
• Forklift Licence (if have is a plus point)

We are looking for a candidate to independently administrate the transport operation of our company's various projects.

The role is multi faceted, and has deep involvement in customer service, transport co-ordination, planning and deployment of routes. Having an eye for safety procedures and being careful and meticulous is an important attribute of this position. The ability to communicate and manage bus crew is critical for the success in this role.

The candidate is required to:

1. Receive route orders and plan on-boarding procedures for passengers;

2. Co-ordinate with customers and other stakeholders on their queries and process of onboarding;

3. Plan, route and co-ordinate with suitable drivers on their routes;

4. Assist in training and ensuring that service quality is upheld;

5. Deal with feedback, queries and complaints positively;

6. Other duties as required to fullfil the requirement of the position.

To succeed in this role, the candidate must have the following attributes:

1. Strong spoken and written communication skills, patient and is able and comfortable in communicating with people from all walks of life;

2. Meticulous, able to multi-task and is focused in cordinating the tasks on hand to ensure deliverables are met to customers' satisfaction;

3. Strong team player;

4. Able to adopt IT processes, is adept in the use of technology and can train drivers in the use of technology to facilitate the workflow;

5. Good sense of road direction;

6. Able to adapt and work comfortably under pressure;

7. A willing and cheerful learner and worker.

The chosen candidate is expected to sign a contract of 2 years as you will undergo 3 months of training.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit complex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R)
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

Job Description

• Develop battery data analytics processes and visualizations for vehicle programs.
• Data management and retrieval using Spark, Hive, Hue, and Jupiter Notebooks.
• Data analysis using Python, MATLAB, and R.
• Data visualization with Power BI, Tableau, Matplotlib, and ggplot2.
• Collaborate with battery data analytics and engineering groups on algorithm design, results, modifications, production issues, data consumption methods, and lessons learned.
• Apply analytical methods to assemble insight from electric vehicle usage data. Use the appropriate statistical methods to make actionable inferences.
• Fit comp.
• lex models to multi-factor datasets using Python, MATLAB, R.
• Model and project the long-term trends of key electric vehicle metrics. Validate results.
• Apply statistical and machine learning models to understand battery production quality metrics.
• Contribute to analytics forums and cross-functional groups by sharing learning within and beyond Global Battery Engineering and Automotive Engineering for PSV operation.

Job Requirement

• Any qualification in Automotive/Electrical/Mechanical Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics.
• Minimum technical knowledge of data analysis methods and success in solving complex problems.
• Proficiency using relevant tools. (Python, Spark, Hive, MATLAB, Power BI, R).
• Real-world experience using Hive to query Hadoop data file structures.
• Practical knowledge of machine learning and predictive methods.
• Ability to lead multiple projects and assignments with high level of autonomy and accountability for results.
• Knowledge of high voltage batteries and electrification subsystems.
• Electrochemistry background.
• Willingness to learn and quickly adjust to new tools and systems.
• Capable of converting ambiguous problem statements into concrete project requirements.
• Proven proficiency in statistical analysis techniques.
• Practical knowledge of machine learning and predictive methods.

LIFE AS AN ACS BROKER

• Building your list of potential customers by researching our database, websites, LinkedIn and trade press  
• Pro-actively targeting your list through outbound sales calls, emails and visits (both face-to-face and virtual) and converting them from potential customers to ACS customers
• Building relationships with Cargo Operators to ensure access to the widest range of aircraft available to provide solutions for our customers
• Maintain relationships with customers to ensure repeat business
• Working to sales target meeting financial objectives
• Ability to demonstrate expert understanding of the aircraft and chartering process
• Manage charter bookings from enquiry to completion
• Receiving inbound requests for urgent charters virtually 24/7
• Present bespoke quotes to customers demonstrating good commercial acumen
• Flight watching/overseeing flight departures (this might be unsociable hours)

The future has many facets: for the courageous, it is opportunity.  

The world is becoming increasingly digital, connected, but also more uncertain and volatile. Yet, the iconic German sports car brand Porsche sees this complex future as opportunity. “In the beginning I looked around and could not find quite the car I dreamed of. So I decided to build it myself.” With this aspiration, trailblazer Ferry Porsche set the guiding principles for Porsche now, and beyond – to be the brand for those who follow their dreams.  

Now, we dream a new future for automotive retail with our new venture, Porsche Singapore Pte. Ltd. Our mission: to enhance the way Porsche engages with customers and fans at every touchpoint, integrating digital solutions and transforming brand experiences in Singapore and the region. 

Join us on this trailblazing endeavour and be part of an agile team in an enriching environment. Porsche Singapore Pte. Ltd. offers long-term career prospects within the larger Porsche ecosystem, opportunities for personal development, and affirms fair hiring and remuneration policies. 

Automotive Service Technician  
Porsche Singapore Pte. Ltd.
Porsche Singapore is seeking a skilled and detail-oriented Automotive Service Technician with experience in vehicle servicing to join our team. The ideal candidate will be responsible for inspecting, diagnosing, and repairing a wide range of vehicle issues, ensuring customer satisfaction and vehicle safety. This role requires strong technical knowledge, hands-on experience, and a commitment to service excellence.  

• Perform diagnostics and troubleshooting on vehicles in accordance with manufacturer standards to identify mechanical, electrical, and electronic issues.  

• Carry out repairs on various vehicle systems, including engines, transmissions, brakes, suspensions, electrical components, including high-voltage systems. 

• Conduct scheduled maintenance services, such as oil changes, tyre rotations, and fluid checks, in line with manufacturer and dealership guidelines. 

• Accurately document all work performed, including parts and labour, to maintain complete repair records. 

• Use specialised diagnostic tools, hand tools, and electronic testing equipment safely and efficiently, while maintaining a clean and organised workspace and adhering to safety and environmental regulations. 
• Provide excellent service by proactively and effectively communicating necessary repairs, timelines, status updates, and maintenance needs with all After Sales departments, Service Advisors and customers, while addressing any customer concerns.  

• Stay updated on automotive technology, repair techniques, and industry best practices, with a focus on Porsche vehicle systems by participating in on-the-job training and certification programs as needed. 

• Singaporean or Singapore Permanent Residents (SPR) are preferred 

• Experience as automotive service technician, specifically with Porsche vehicles, along with knowledge of Porsche’s mechanical and electronic vehicle systems or manufacturer-specific training in Porsche service and repair is highly preferred  

• Strong diagnostic and problem-solving abilities with proficiency in diagnostic tools and repair equipment, particularly with Porsche models 
• Detail-oriented with a strong commitment to providing high-quality work 

• Ability to work both independently and as part of a team 

• Physical capability to lift up to 20kg and perform tasks associated with automotive repair 

• Possess a Class 3 Driving License with at least 4 years of driving experience 

• Ability for a 5.5 day work week 

Job Descripton

• Repair and Maintenance of Heavy Vehicle (10 wheels lorry)
• Repair and Maintenance of Excavator (including Kobelco, komatsu and caterpillar excavator)
• Repair and Maintenance of Forklift
• Prior Hands-on experience is a must.
• Must guide junior mechanic in repair and maintenance of all company's fleet

Requirement

• Possess at least a class 3 Driving licence
• 6 days work week
• willing to work in hot and dusty environment.

• Ensure standards for food quality and preparation
• Co-ordinate with logistics department for timely collection and delivery schedules
• prepare dally delivery list for frozen meats and others
• Manage all frozen meat delivery and assist to production and others
• Able to multi-tasks and dwork under pressure
• Able to handle heavy stuffs around 20-30kg
• Able to work long hours and work on weekend

QUALIFICATIONS

• Physically fit
• Able to work in cold environment
• Class 3 Licence
• Forklift Licence (if have is a plus point)

We are looking for an Assistant Principal Engineer to join our ILS O&S Team. In this position, you will be responsible for in-service vehicle matters, item obsolescence and vehicle upgrading proposal. You will work closely with the Design and O&S team as well as the End Users in order to maintain the availability of the in-service vehicles.

Job Responsibilities:

• Meet up of End Users to understand their issues and matters on hand.
• Work with different departments, local vendors, overseas OEMS to submit design/pricing proposal.
• Monitor progress of outstanding issues and/or submitted proposals.
• Monitor allocated budget for the given year.

Job Requirements

• Degree in Mechanical Engineering.
• Knowledge and/or experience in mechanical design. Proposal writing and budgeting experience will be an advantage
• Self-motivated and able to work systematically
• Team player with good communication and presentation skill
• Singaporeans only