• German MNC - Biomedical industry
• Entry level, training provided
• Gross salary (Basic $2,500 + Shift allowance $180 + Transport allowance $110)
• Contract 6 months - Subjected to extension/conversion

Location: East

Working hours:

Shift 1: 655am to 305pm

Shift 2: 255pm to 1105pm

Job scope:

• Perform assembly of medical device using microscope in a cleanroom environment

Job requirement:
Singaporean only

Interested candidate may apply via email to spkp(at)scientecpersonnel.com (Indicating Job ID J47303 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Poh Tze Qi (Kayley) | R2197837

ScienTec Consulting Pte Ltd | 11C5781

Opening in Government Agency

Contract Period: 11 months

Job Responsibilities:

• Interpreting existing legacy datasets relating to development Gross Floor Area (GFA) and land use and converting them to follow a new schema.
• Understand and interpret planning and development records by synthesizing various data sources including data attributes in excel, and approved plans in various formats (e.g., CAD, PDF, Bentley), as well as performing manual and/or scripted quality checks to ensure the accuracy of assembled data.
• Work closely with stakeholders to ensure that the data entry is done accurately.
• Other adhoc duties assigned

Looking for:

• Singaporeans only
• Min. O Level holders
• Good proficiency with excel
• Ability to work meticulously and accurately with data and numbers, adhering to standard operating processes to ensure integrity of data

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 not required at this application stage.

To withdraw consent, email [email protected].

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

Chloe Chew (R1768631)

ScienTec Consulting (ScienTec Personnel) - 11C5781

Warehouse’s Data Entry - Singaporean

Salary: 1800-2200 SGD/month

Job Type: Full Time Job

Period: Immediate Start

main responsibilities:

• Communication with customers for stock arrangement
• Response to customer’s email
• Key in receive orders / issue out going orders / issue delivery orders and stock control.
• Daily process stock sheet to customer
• Arrange / coordinate closely with customer within house warehouse .
• Ensure that all jobs are monitored / timely updated in system / Billing .
• double check goods accuracy with warehouse before release goods to customer
• Any other ad hoc duties assigned.

• Qualification: Secondary School / O or N Level / NITEC
• 0-1 years of experience working warehousing or logistics companies will be preferred.
• Proficiency in MS office
• Effective verbal communication and interpersonal skills
• Ability to learn fast and pays attention to details.

• Support Master Data setup in TIS SAP implementation for Production related matters and support the Master data lead in GSAP project
• Assist all Master Data Management related activities for production in the GSAP project organization and towards the affiliates in scope of the GSAP implementation
• On a project basis, render support to a stream and will report into the Module Coordinator for the Stream, with a line to the MDM Global Lead
• Assist in execution and implementation of SAP master data set-up between TIS and it affiliates
• Coordinate with internal stakeholders such as operations and supply chain team to align the SAP master data
• Responsible in master data issues for immediate investigation and resolution

Requirements:

• 2 years of relevant working experience in Master Data Management
• Strong knowledge and understand the Company business requirements
• Understand the Company GLOBAL ERP processes and link to MD objects and fields
• Strong analytical and interpersonal skills
• Prior experience in ERP / SAP skills will be added value
• A team player with good interpersonal skills

Responsibilities:

• Receive training about BI (Business Intelligent) products, data analysis and project management;
• Execution of data validation, data mining and data analysis activities;
• Assist Lead Data Analyst(LDA) with BI project implementation leveraging Yonyou BI product (integrated with Yonyou EPR system and Cloud Platforms) ;
• Assist LDA in drafting the scope of BI project, and confirming the project timeline.
• Prepare technical documentation and other deliverables to meet the project requirements, and Summarize the best practice of software solution implementation project implementation.

Requirements:

• Good knowledge of information technology, especially in the areas of ERP and IT-related industries.
• Possess a strong interest in investigating and identifying causes of issues, and able to propose solutions to rectify the issue.
• Strong writing, verbal communication, and presentation skills.
• Good planning and coordination skills. Good team player, responsible and conscientious.
• Resourceful, independent, responsive and proactive.
• Possess a strong interest in investigating and identifying causes of issues, and able to propose solutions to rectify the issue.
• Experience in providing training to the core team and end-users.
• Familiar with SQL query e.g. SQL Server, Oracle will have a great advantage.
• Based in Singapore, travel oversea upon project requirements.
• Must be able to speak mandarin to liaise with our China counterparts

Job Details

Location: Maxwell

Working Hours: 5-Days Work Week

Work Type: 12-Month Contract

Salary: Up to $ 2,450 per month

What you will be working on?

• Interpret legacy datasets relating to development gross floor area (GFA) and land use, converting them to adhere to a new schema
• Understand and interpret planning and development records by synthesizing various data sources including data attributes in Excel, and approved plans in various formats (e.g. CAD, PDF, Bentley)
• Perform manual and/or scripted quality checks to ensure accuracy of assembled data, with close consultation/collaboration with urban planners/architects in charge
• Work on other duties and projects as assigned

What are we looking for?

• Singaporean only
• Minimum Higher NITEC / GCE ‘O’ level / GCE ‘A’ level
• Proficient in Microsoft Excel.

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 not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

Job Scope

Data Entry (for Sales Invoices) + Printing Invoices + Check Pricelist

Time: Monday to Saturday 8.30am - 6pm (5 day work)

Duration - 3 months (to start Immediately)

Location: 23 Chin Bee Ave

Prefer stay near by, Only Singaporen or PR

Prefer able to speak & Write: English and Chinese

No work permit holder is allowance

Our client, a renowned MNC in Retail industry is seeking for a Data Analyst ( MNC - Retail Sales ) - $ 5,500.00 + VB

Requirements

• Degree or Diploma holder
• At least 3 to 5 years of experience as a Data Analyst, preferably in Retail / Sales industry
• Highly analytical, Business Acumen, Strong in numbers (Reporting, Sales performance, Market Competitiveness)
• Strong communication and interpersonal skills - Someone who is able to represent the organisation's corporate image.
• Confident, wiiling to learn and perseverance.

Others

• Salary up to $ 5,500.00 + Attractive Variable Bonuses
• West Area

Interested candidate can send in your resume (word format prefer) to [email protected]

Job Description

The candidate is to assist the asset management team across Asia Pacific as follows:

• Support strategies to maximize performance and enhance assets by working with internal stakeholders (leasing, property management team and country managers) to formulate action plans with respect to optimising operating expenses and capital expenditure management
• Carry out projects under development, AEI, asset valuation, asset review and hold-sell analysis for the assets under management.
• Assist to analyse and implement effective lease management in areas like deal structuring, renewal & customer retention strategies, customer & asset risk assessment eg. Know Your Clients and arrears monitoring.
• Prepare & consolidate budgets and periodic forecasts relating to net property income and capital expenditure of the portfolio, variance analysis with review of actual performance against budget and asset plan.
• Reporting - consolidate and analyse data at individual property and portfolio level for periodic quarterly reporting with investors. Prepare monthly and quarterly reports and presentation slides outlining asset performance for internal management and investors.
• Co-ordinate initiatives for the team across countries in the areas like Compliance, Environmental, Social & Governance, Health Safety and Environment, audit etc.

Job Requirements

• Degree in Business/ Finance / Estate Management or its equivalent, with flair for numbers.
• Minimum 6 years of relevant experience in asset management in real estate/ data centre sector, with proven track record in managing projects under development or asset enhancement initiatives.
• Exposure in international Real Estate or Data Centre industry would be an added advantage.
• Self-motivated, resourceful team player with good people management skills and able to lead initiatives independently.

Location: Yishun

Mon to Fri 8.30am to 5.30pm

salary: $3000-$4000

Japanese MNC

Have AWS & bonus

Industry: Electronic component manufacturing

Job Highlight

• Work life balance
• Career progression

Job Description

• Serve existing customers
• Understand customers’ needs, obtain feedback, and accurately forecast short-term and long-term requirements.
• Proactively explores business opportunities and expands market share including developing and implementing market penetration strategies to maximize business opportunities.
• Other adhoc duties as assigned.

Requirements

• No experience / Fresh / Entry welcome
• Diploma in engineering
• Ability to communicate effectively in English and to be bilingual (for business communication)

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Carrier is a global leader in intelligent climate and energy solutions, with a diverse and world-class workforce. From the beginning, we’ve led in inventing new technologies and entirely new industries. Today, we continue to lead because we keep customers at the center of every product and service we offer, and we act quickly to exceed their expectations. Through our performance-driven culture, we are creating long-term shareowner value by growing earnings and investing strategically to strengthen our position in the markets we serve.

About this Role

The Data Center Leader, Asia Pacific is a newly created and highly strategic leadership role focusing on business development and HVAC Sales for the profitable growth of Carrier HVAC Asia Pacific region. You will be responsible for growing commercial equipment, controls and service sales with specific focus on expanding our Data Center customers.

This includes leading a team of business development / sales leaders in the region to explore key market opportunities across Asia Pacific, development, and implementations of strategies to maximize sales margins while increasing market share in Asia Pacific. Your extensive knowledge about Data Center products along with exposure in the HVAC industry will help drive our business objectives to deliver end to end sustainable, intelligent climate and energy efficiency solutions for our customers.

Key Responsibilities:

• Develop and implement data center ecosystem solutions strategy aligned with company’s overall goals and objectives for the Asia Pacific region.
• Develop and maintain an intimate knowledge of data center market landscape, dynamics, regulatory requirements, competition, sales channels, and market growth strategies.
• Build and execute Enterprise Account Management strategies for key, target, managed, and maintained owner, consultant and contractor accounts focused on the data center industry with local sales representatives where they exist.
• Drive revenue growth and profitability in partnership with Region P&L Leadership teams to strengthen and build customer relationships to support market share growth in equipment, controls, and service offerings.
• Partner with Global Engineering, Product Management and Regional P&L leaders team on development of products and lifecycle solutions / services for the Data Center segments.
• Lead initiatives on program development, tools, training and on-going support to maximize the productivity and effectiveness of a data center focused sales team.
• Lead cross functional teams to build employee engagement and best practice sharing.

Required Qualifications:

• Bachelor's or Master’s degree in Mechanical Engineering or equivalent
• Minimum 12 – 15 years of experience in sales, marketing, business development, smart building solutions, within the Data Centers business with a focus on HVAC products within Asia Pacific region
• Strong supervisory, people management and leadership skills
• Strong understanding of the Asia Pacific market dynamics and trends

Benefits

We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

For Singaporean, PR and Malaysian Only

Roles & Responsibilities

Responsibilities for Data Entry Assistant

· To perform the full spectrum of coordination and administrative duties, including invoicing, data entry.

· Efficient document management such as printing, scanning and filing of the documents.

· Delivery arrangement.

· Responding to incoming phone enquiries.

· Maintain general company's administrative works.

· Maintain continuity among work teams by documenting and communication actions.

· Undertake other ad hoc assignments as required, e.g.

Data Entry – Rebar BBS

- Double check and clarify all the required information are accurate

Prepare Label – Rebar Tag

- Ensure BBS Copy is customer CONFIRMED / APPROVED BBS

Label Tag with Wire

- Ensure the Cut Length Copy is attached.

- Double check all the items, Qty, Projects, C/O is accurate

NO discrepancy is allowed for REBAR document preparation.

REQUIREMENTS:

• Good interpersonal and organisational skills

• Highly adaptable and willing to learn

• Committed and have a positive work attitude

We are seeking a Research Associate at College of Computing & Data Science (CCDS) to contribute to our project titled “Tamper Detection with Invisible Watermark and Anti-Tampering for Protecting Face or Body Images/Videos”. The focus is on developing and improving algorithms that enhance privacy and security in the AI models.

Key Responsibilities:

• Exploiting deep learning algorithms for improving privacy and security.
• Identify the weakness of existing deep learning algorithms for tamper detection and protection of watermarks, face, and body images/videos.
• Develop new deep learning algorithms or improve existing algorithms to address the weaknesses.
• Prepare codes and datasets for training and testing.
• Carry out experiments and analyze the results.
• Prepare reports and scientific papers for publication.

Job Requirements:

• Master's degree or above in Computer Science, Data Science, or a related field.
• Strong background in deep learning with first-author publications in ECCV, ICCV, CVPR, ICLR, NeurIPS, ACL, EMNLP, or top-ranked IEEE Transactions.
• Knowledge of multimodal fusion and computer vision is must.
• Experience in algorithm development, data processing, and coding (e.g., Python).
• Proven ability to conduct independent research and publish scientific papers and journals.
• Excellent problem-solving skills and attention to detail.
• Good teamwork skills.
• Industrial experience is a plus

We regret that only shortlisted candidates will be notified.

Job Description:

• Collaborate with stakeholders to define business and information needs, and deliver data-centric solutions.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Extract insights from raw data and present findings clearly through reports and visualizations.
• Assist with daily operational tasks, including application and server support.
• Support the sales and marketing teams in presales activities for potential customers.

Job Requirements

• Bachelor’s Degree or Diploma in Business Analytics, Computer Science, Data Analytics, Information Technology, or a related discipline.
• 1-3 years of hands-on experience in data science or data engineering is preferred.
• Strong oral and written communication skills.
• Proficiency in Python, R, or another programming language.
• Experience with various databases (e.g., MSSQL, PostgreSQL, Oracle DB).
• Solid understanding of data analytics and processing tools such as Power BI, MicroStrategy, and Robotic Process Automation (RPA) is preferred.
• Proven experience in operationalizing end-to-end data analytics solutions.
• Familiarity with cloud services, particularly Amazon Web Services (AWS), is a plus.

Key Responsibilities:

Data Engineering:

• Design, develop, and manage scalable data pipelines using Airflow for scheduling and orchestration, ensuring the smooth flow of real-time and batch data.
• Build and maintain systems leveraging Kafka for real-time data streaming and S3, RDS & Redis for data storage, all within the AWS ecosystem.
• Implement solutions for macro trend analysis and cross-asset correlations, optimizing data processing for institutional clients.
• Ensure data governance best practices, including data quality, security, and accessibility using AWS services (e.g., S3, Redshift, Athena, Redis), Airflow, and Kafka.
• Ensure data infrastructure complies with SEC regulations and industry-specific standards.

Governance, Risk, and Compliance (GRC):

• Establish and enforce a comprehensive GRC framework aligned with SEC regulations and other relevant U.S. financial regulations, leveraging AWS services.
• Oversee compliance with regulatory bodies such as the SEC and FINRA, ensuring TradeAlgo’s systems meet evolving regulations.
• Use Airflow and AWS tools to automate compliance reporting and monitoring, ensuring data integrity and security within the AWS environment.
• Collaborate with legal and risk management teams to ensure compliance with regulatory requirements while managing risk across the AWS ecosystem.

Collaboration & Leadership:

• Work closely with product, engineering, and compliance teams to design and implement AWS-based data solutions, leveraging Airflow for orchestration, Kafkafor real-time data, and S3, RDS & Redis for secure data storage.
• Provide leadership in optimizing scalable AI-driven solutions on AWS for institutional clients, ensuring alignment with regulatory frameworks.
• Collaborate across teams to align AWS data infrastructure with business and compliance goals.

Strategic Input:

• Provide input on AWS infrastructure investments to support scalable data processing using Airflow, Kafka, and RDS, while ensuring compliance with U.S. regulatory frameworks.
• Stay updated with trends in AWS services, data engineering, and GRC, particularly within financial services, and lead initiatives to integrate new SEC regulations into our AWS-based systems.

Qualifications:

• 7+ years of experience in data engineering, with strong exposure to GRC in financial services (preferred).
• Expertise in AWS services (S3, Redshift, Athena, Lambda), as well as experience with Airflowfor orchestration, Kafka for real-time streaming, and RDS for relational data storage.
• Strong understanding of U.S. financial regulations, including SEC, FINRA, and other compliance frameworks.
• Proven ability to implement data governance, security, and compliance on cloud infrastructure (preferably AWS).
• Familiarity with AI-driven solutions and handling risk management for institutional clients is a plus.
• Advanced degree in computer science, data engineering, or related fields is preferred.

• Good Base+great benefits!
• Familiar w/ DevOps tools such as Docker, Git, Terraform!
• Great environment to work in!
• Opportunity to work w/ different projects!
• Leading IT Company+friendly & diverse culture!

Our client is one of the leading Technology organisation

Responsibilities:

• Translate data requirements from business users into technical specifications.
• Collaborate with stakeholder’s IT teams on technology stack, infrastructure and security alignment.
• Build out data product as part of a data team
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.
• Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;
• Construct, test, and update useful and reusable data models based on data needs of end users.
• Design and build secure mechanisms for end users and systems to access data in data warehouse.
• Research, propose and develop new technologies and processes to improve agency data infrastructure.
• Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.
• Maintain data catalogue to document data assets, metadata and lineage.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement and enforce data security best practices, including access control, encryption and data masking, to safeguard sensitive data.

Requirements:

• Bachelor in Computer Science, Information Technology, Software Engineering disciplines are preferred
• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.
• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.
• Experience in architecting data and IT systems.
• Experience with orchestration frameworks such as Airflow, Azure Data Factory.
• Experience with distributed data technologies such as Spark, Hadoop.
• Proficiency in programming languages such as Python, Java, or Scala.
• Proficiency in writing SQL for databases
• Familiarity with building and using CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, Terraform

Other Information:

• Working Hours: Mon-Fri, 9am-6pm, flexible work hours/hybrid work arrangement & WFH)
• Location: Near Buona Vista MRT

To apply please click on the QUICK APPLY button or email your resume to [email protected] with the following details inside your resume for faster processing:

• Reason for leaving
• Last drawn Salary
• Expected Salary
• Earliest availability date

We regret only shortlisted candidates will be notified. By submitting any application or résumé to us, you will be deemed to have agreed and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration.

Jiang Yiang Dong

EA License | 14C7092

EA Registration Number | R1105012

⭐Monday-Friday : Office Hours