Title: Regional Quantity Surveyor/ Senior Quantity Surveyor (Data Centre)

Location: Singapore

About the role:

Our client is a very recognized Integrated Digital Infrastructure Solutions Conglomerate.

They are market leaders in the development and innovative management of a variety of products & integrated supply chain and procurement best practices.

The company has a reputable market position in developing high quality and customized Procurement Management capabilities, and takes pride in ensuring optimized end-to-end supply chain and strategic operations management to achieve maximized customer satisfaction.

They are currently on an active look out for a suitable candidate as an experienced Quantity Surveyor/ Senior Quantity Surveyor (Data Centre) to be part of their regional team based in Singapore.

He/she will be part of the Asia Strategy team and a Subject Matter Expert in terms of ensuring effective strategic customer relationship management and optimal supplier management standards, to ensure workable logistics strategies for a highly scalable business growth to support the business’s strategic plans ahead.

Responsibilities:

Reporting to Cost & Contracts Lead, this position will be focusing on the below:

• Measure and value work in progress, determine the value of variations ordered by the architect or engineer and ensure that a fair and equitable settlement of the cost of the project is reached in accordance with the contract conditions.
• Active involvement in terms of regular performance reviews with assigned Project Teams, including that of aligning critical Project Construction Costs & Budgeting, including that of deep diving into Value Engineering for Procurement Cost Related Risks.
• Lead both customer and/or supplier end to end RFQ processes, including that of executing procurement of provisional sum items for assigned projects where necessary.
• Identify opportunities to further improve the operational competency specific to efficient manner of safekeeping/ archival of important Contracts and Technical Specifications to ensure up-to-date methodology in place.
• Ensure optimal service performance compliance to make happen effective operational process improvements for assigned customer account(s), as well as that of newly approved product suppliers etc.
• Ensure maximum operational visibility by means of developing and introducing dashboards to properly manage key customer measurements and beyond

Requirements:

Singapore • Permanent

• Bachelor’s Degree with at least 4- 6years of relevant experience in end-to-end Quantity Surveying in a complex Building & Infrastructure Management environment, preferably in Data Centre projects
• Proven track record in strategic Quantity Survery and Contracts Operations management skills, with acquired solution-oriented mind set
• Excellent interpersonal communication skills to relay and/or drive process improvements to important senior stakeholders
• Good change management skills to identify and streamline existing operational processes in line with business growth and strategic contracts negotiations
• Good understanding of SAP and equivalent ERP system is highly preferred

Interested? Here’s what to do next:

Please apply to the role with a recent copy of your CV. We will be in touch once we review your profile for suitability.

Singapore Employment Agency License No.: 16S8069

Privacy Statement: By submitting an application and sharing your personal information with us, you consent to such information being collected, held, used and disclosed in accordance with our Privacy Policy (https://www.wilsonhcg.com/privacy-policy)

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

[Job ID: 782386]

Location: Pasir Panjang

Responsibility:

• To support customer in maintaining their existing AliCloud solutions in accordance with best practices.
• To fix issues in customers existing AliCloud solutions.
• To communicate with Alibaba Cloud for advice on technical issues.
• To communicate and align with offshore AliCloud Data Engineer on task assigned to Companyteam.
• Any other duties assigned.

Requirements:

[MUST]

• Min 3 to 5 years of working experience in IT industry.
• AliCloud related certification is a MUST.
• Hands-on experience in at least 1 AliCloud related project is a MUST.

[ADVANTAGE]

• At least 1 other cloud (non AliCloud) certification will be preferred.
• More cloud certifications will be a big PLUS.
• More AliCloud projects will be a PLUS.
• Hands-on experience in other cloud (i.e. non-AliCloud) related projects will be a PLUS.

To Apply, please kindly email your updated resume to [email protected]

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

We regret that only shortlisted candidates will be notified.

However, rest assured that all applications will be updated to our resume bank for future opportunities.

EA Personnel Name: Ong Jia Hao Lavis

EA Personnel Registration Number: R21100883

EA License no.: 07C5771

Bookkeeping Clerk (Clinic)

• 5.5 Days
• 8.30am to 5.30pm / 8.30am to 1pm
• S$ 2,200 to 2,500
• Location: Orchard

Job Scope:

• Maintain & Manage records, Filing, Key in data
• Answering calls, Cashiering, Dispensing of medications
• Maintain hygienic environment, ensure patient safety

Job Requirements:

• Minimum O levels is required

Apply now for Interview arrangement

Daniel Wong Reg No: R2095781

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Job Description

• Industry/ Organization Type: Furniture Manufacturer
• Position Title: General Admin Clerk
• Working Location: Kaki Bukit
• Working Hours: 5.5 days (Monday – Friday: 8.00am – 5.30pm, Saturday: 8am – 12.30pm)
• Salary Package: Basic Salary up to $3,000
• Duration: Permanent

Key Responsibilities

• Prepare essential documents, such as memos, reports, and other forms of communication.
• Manage and respond to emails and phone calls, forwarding communications to the right people when necessary.
• Regularly communicate with staff to help procure necessary items for the office.

APPLY NOW!!!

• 1-2 years of experience for entry-level positions.
• A Diploma or Degree in Office Administration is a plus.
• Familiar with productivity tools like Microsoft Office Suite.
• Knowledge of email platforms like Microsoft Outlook and Gmail.
• Ability to use or learn office equipment such as printers, fax machines, and phone systems.
• Strong communication skills.
• Able to work independently and ask for help when needed.

Please apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #70403 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. 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 continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Adelin Chong | EA Reg No.: R1875641

Morgan McKinley is looking for a skilled Data Operation Specialist for a 12-months contract with our client in the tech industry.

Key Responsibilities:

• Analyze operational issues to determine if technical solutions or process corrections are needed.
• Track and report on operational performance, identifying trends and areas for improvement.
• Facilitate daily standup meetings and manage customer support ticket prioritization.
• Create Business Review content for leadership meetings.
• Ensure adherence to processes and highlight any deviations affecting support quality.
• Document lessons learned and share insights with cross-functional teams.

Essential Skills/Experience:

• 2-4 years in operations support within a technical environment, with knowledge of Operational Metrics and KPIs.
• Strong problem-solving skills and experience with data visualization and SQL queries.
• Customer-oriented mindset with high attention to detail.
• Ability to multitask and prioritize effectively in a fast-paced setting.
• Excellent interpersonal and communication skills.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.


Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. 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 continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Employer: A well-established jewelry company with a pleasant working environment.

Company Size: Over 20 employees.

Job Responsibilities:

- Greet customers and provide excellent service.
- Introduce and sell jewelry products to customers.

Requirements:

- Related experience required.

Benefits:

- Annual and medical leave according to local labor laws.

- Performance-based annual bonus (minimum of 1 month’s salary).

Who We Are:
Thrive Organisation is all about bold moves and big energy. We’re a top player in face-to-face marketing, bringing brands to life and creating unforgettable experiences. If you’re outgoing, love meeting people, and want to make an impact, this role is for you!

The Role:

• Connect with people in real time, sharing cool brand stories and info

Information:

1. Salary Range: $2600 - $3000
2. Working hours: 8am - 5pm

Responsibilities:

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Troubleshooting production problems and assisting in planning new project work.

Requirements:

• Diploma in Mechanical / Mechatronics / Electrical Engineering
• Entry level are welcome to apply

Interested applicants, send in your updated resume by clicking “Apply Now”.

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Working hours: 10am to 6pm (Monday to Friday)

Join Our Team as a Management Trainee!

Are you eager to explore diverse roles within a dynamic organization and fast-track your career growth? As a Trainee, you will gain hands-on experience in multiple functions, from strategic planning to budgeting, sales, and recruitment, all while building valuable skills for the future.

Key Responsibilities:

• Learn and rotate through various key departments, gaining insights into how the organization operates
• Use cutting-edge digital marketing tools and mobile apps to connect with clients and prospects daily
• Build and maintain lasting relationships with clients, offering solutions that drive long-term success
• Take part in meetings, workshops, and events, enhancing your knowledge and network
• Analyze data, compile reports, and present your findings to your team • Engage in fieldwork, evaluating company services to provide actionable insights
• Develop a deep understanding of management viewpoints, policies, and procedures
• Meet personal and team goals outlined at the start of your traineeship
• Shadow experienced professionals to learn best practices and standards within different departments
• Offer support across departments by contributing to tasks like data entry, presentations, strategy development, and client services

Requirements:

• Minimum Diploma and above
• Strong organizational and time management abilities, with the ability to prioritize tasks and meet deadlines

Why Join Us?

• Accelerated career growth with mentorship and hands-on training in various business functions
• Opportunity to work with a diverse and talented team
• Gain practical experience that sets the foundation for a future leadership role

If you are ready to make an impact and grow your career, apply today to become part of our vibrant team!

EA Reg. Number: R21100629

EA License Number: 22C1278

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing. We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:

- Ensure customer satisfaction

Our client is from Construction industry. Due to their current expansion plan, they are looking for a HR Executive - Recruitment to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Support recruitment activities, including posting job advertisements, candidates screening, and interview arrangement.
• Manage the onboarding and offboarding processes.
• Organize and oversee training and development programs.
• Handle payroll processing.
• Manage applications, renewals, and cancellations of work passes.
• Handle general matters, including updating residential addresses, managing levy waivers, medical check-ups for new hires, etc
• Conduct market surveys for MOM, IRAS, CPF, WDA, and other HR-related studies.
• All other adhoc duties as assigned.

Requirements

• Minimum NITEC in HR Manager/ Business Administration or equivalent.
• Min 2 years relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Job Descriptions:

• 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:

• 3 years of experience in Data Analyzing preferably in the fields in Business applications and cloud solutions, ERP experience
• Graduated in Data Science, Information Technology, and Business Analyst.
• Preferably familiar with database tools such as SQL query and has experience in DBMS e.g. SQL Server, Oracle will have an advantage.
• Possess a strong interest in investigating and identifying causes of issues, and able to propose solutions to rectify the issue
• Excellent problem-solving and analytical skills and good verbal and written communication skills.
• A team contributor who can learn fast, perform under pressure and excel in a fast-paced environment.
• Fluency in both English and Mandarin is required to liaise with English and Mandarin-speaking associates.
• Will be based in Singapore and travel for overseas projects in Southeast Asia

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

Job Description

• Research and develop statistical and machine learning models for comprehensive data analysis
• Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy
• Apply data mining techniques and perform statistical analysis to generate insights at scale
• Work closely with both internal and external stakeholders to understand analytic needs and develop effective solutions
• Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
• Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
• Identify relevant structured and unstructured data sources for mining meaningful insights
• Build prototype analysis pipelines iteratively to provide scalable insights
• Contribute to building data analytics capabilities across the organization, emphasizing the strategic value of data in achieving business objectives

Requirements

• Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics.
• Minimum 2 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
• Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python).
• Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark).
• Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms.
• Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis.
• Advanced skills in pattern recognition and predictive modeling.
• Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous.
• Excellent communication and presentation skills, with a strong emphasis on collaboration and innovation

**This role is 2-years contract(renewable).

Khaty Zainal

R22111204

BGC Group Pte Ltd(Outsourcing)

EA 05C3053

- 1-year contract (renewable / convertible)

- Marina Bay

- Hybrid Work

- Monday to Friday: 9am – 6pm (2 days WFH)

- Up to $6,500

Job Responsibilities:This role involves creating mathematical formulas and models to address business challenges and drive operational efficiency. The Data Scientist will apply advanced mathematical techniques to develop solutions that enhance decision-making and optimize various business functions.

Project Function : Data Management/ Analytics, Information Technology

Responsibilities Include:

• Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of price, fuel, network flow, supply chain optimization, and demand planning.
• Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software
• Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment

The candidate should have the expertise/experience of:

• Experience in building optimization models and implementing them
• Expertise in validating and simulating math optimization model
• Experience designing and supporting large-scale optimization systems in a production environment
• Analytical Skills: Strong ability to analyze complex problems, develop mathematical models, and interpret results.
• Mathematical Proficiency: Solid understanding of optimization techniques, linear programming, integer programming, and other mathematical methods.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-Solving: Strong problem-solving skills with a focus on finding effective and efficient solutions to business challenges.
• Attention to Detail: High attention to detail and accuracy in developing and validating models and solutions.
• Experience: Capable of building optimization models and implementing them with the ability of validating and simulating math optimization model

Period:

• 1-year contract (renewable / convertible)

Location:

• Marina Bay

Working hours:

• Monday to Friday: 9am – 6pm with hybrid work arrangement (3 days work in office and 2 days work from home)

Salary:

• Up to $6,500

Job Requirements:

• Master or Bachelor Degree in Operations Research, Mathematical Optimization, Statistic, Computer Science or a related field with 2+ years of similar job experience
• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management
• Strong coding skills (one or more of Python or R) and experience using one or more commercial optimization solvers
• 2+ years of experience in data science, with a focus on solving optimization problems. Experience in industries such as logistics, manufacturing, finance, or tech is preferred
• Demonstrated experience in leading optimization projects from conception to deployment, including model development, validation, and implementation

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

[email protected] (Reg No: R1549023)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

3 Shenton Way, Shenton House #19-01 Singapore 068805

T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg

• Position :IT/Data Centre Technician (Server/Hard Disk)
• Location : Lok Yang Way
• Working hours : 5 days, Monday to Friday (8.00 am to 5.30 pm)
• Salary (commensurate with experience) : Up to $3400 + AWS + Performance Bonus + Meal
• Duration : Permanent
• Industry :Logistics MNC

Main Responsibilities:

• Perform physical and technical tasks of low complexity on Data Center Infrastructure equipment (servers infrastructure, network infrastructure, or equipment DC floor)
• Install, troubleshoot, and maintain servers, networking equipment, and cabling
• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.)
• Learn and apply diagnostic methods to troubleshoot data center equipment
• Use hardware/software tools and workflows (automation) in support of these tasks
• Strictly follow policies, processes, and procedures related to data center environment
• Perform maintenance on a timely basis with adequate recordkeeping
• Maintain supply of spare parts inventory
• Ensure equipment is started up properly and maintain equipment with minimal downtime
• Locate sources of problems by observing and listening to mechanical devices in operation.
• Maintain documentation of performance of preventive maintenance, equipment repair, part usages and other documentation
• Ensure a safe working environment and perform maintenance in a safe manner

Requirements:

• Min intermediate Vocational Education in maintenance, hardware repair or equivalent
• Minimum 1 years of experience
• Experience in Lean Principles warehousing.
• Basic knowledge of Linux OS a plus
• Able to identify basic network components and perform fiber and cabling handling
• Ability to rapidly learn Standard Work Instructions (training and job shadowing to be provided)
• Physically fit to carry heavy goods
• Willing to work shift hours when required

Email me at [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee 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.

One North Consulting is currently hiring Data Engineers with about 8+ years of experience as per details given below.

Interested Singapore Citizens / Singapore Permanent Residents can connect on email id - [email protected]

Skills & Responsibilities: -

As Data Engineer, you will focus on managing the Hadoop cluster, implementing data ingestion framework designing data models.

Your primary role will be to implement data lake & transform the data for business use.

• Experience with at least one Cloud Infra provider (Azure/AWS)
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, DataSet / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Write SQL scripts to test ETL results
• Write scripts to regression test the ETL iterations already completed
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience with CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Understanding of DevOps practices using Git version control
• Debug, fine tune and optimize large scale data processing jobs
• Deliver big data solutions based on premise Hadoop or cloud-based systems like AWS.
• Manage Hadoop cluster, participate in scale out planning & implementation.
• Design ingestion layer for structured & unstructured data (text, voice, xml etc)
• Implement specific data model for business & analytics use.
• Deliver ELT solution including data extraction, transformation, cleansing, data integration and data management.
• Augment with new sources of data including internal/external untapped data.
• Contribute to the establishment and maintenance of cloud computing platform and big data services.
• Provide support for analytics tools & environment like RServer etc & debug performance issues.

Competencies :-

• Databases: RDBMS, SQL programming
• ETL and Data Integration Tools: Azure Data Factory (ADF), Microsoft SQL Server Integration Service(SSIS), SAS Data Integration
• Big Data: Hadoop (Hortonworks), Hive, Spark, Sqoop, etc
• Programming and Scripting: Linux/Unix Shell Scripting, Java, Scala, Hive QL
• BI/Dashboarding: SAS Visual Analytics, Qliksense

Working Experience:

• 8+ years (no upper limit) in data engineering and modelling.
• Hands-on in MS SQL. Should be an expert in MS SQL queries and scripting.
• Hands-on experience in testing ETL systems is mandatory
• Hands-on in managing data mapping, data quality and integrity, performance in data processing.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information
• Experience in Agile software development.
• Candidate should be able to create executable scripts for regression testing purposes
• Experience in testing SSIS ETL mappings is good to have
• Visualise, interpret, and report data findings and may create dynamic data reports as well

If interested, please email us your CV to [email protected]

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Job Summary:

We are seeking a skilled Data Engineer with 3 to 5+ years of experience in Databricks and Python to join our dynamic team. The ideal candidate will play a key role in designing, developing, and optimizing data pipelines and analytics solutions on Databricks. Experience with AWS Cloud is highly preferred.

Key Responsibilities:

• Develop and maintain scalable data pipelines and ETL processes using Databricks and Python.
• Optimize and troubleshoot existing Databricks workflows for performance and reliability.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement data processing solutions using Spark in Databricks.
• Integrate and manage data from multiple sources, ensuring accuracy, quality, and consistency.
• Leverage AWS cloud services (e.g., S3, Lambda, Redshift, Glue) for data storage, transformation, and analytics.
• Perform data profiling and validation to ensure the reliability of processed data.
• Monitor and maintain data pipelines for continuous performance improvements and error handling.

Required Skills:

• 3-5+ years of hands-on experience with Databricks and Python development.
• Strong expertise in PySpark and data transformation techniques.
• Proficiency in writing optimized, efficient, and scalable Python code.
• Experience with SQL and relational databases for data querying and manipulation.
• Familiarity with AWS services (e.g., S3, EC2, RDS) and cloud-based data engineering concepts.
• Knowledge of version control systems such as Git.
• Strong problem-solving and analytical skills with a focus on data processing and integration.

Preferred Skills:

• Working experience with AWS Redshift, Glue, or Athena.
• Familiarity with CI/CD pipelines for data engineering projects.
• Exposure to data visualization tools or frameworks.
• Knowledge of data security best practices and governance principles.

Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Relevant certifications in Databricks, AWS, or Python development are a plus.

Job Responsibilities

• Define principles and implement logic for computation of variable cost components at geographical, trade level, in order to derive a standard cost box rate by equipment size type for every port-pair combination
• Continual enhancement of costings logics in order to adapt to the changing market landscape and to drive optimal pricing and cargo selection decisions
• Perform regular analysis to identify and report any variances between the calculated costs and actual shipping operations costs
• Perform periodic assessment and analysis of equipment situation at each location to determine the equipment balance assumption and repositioning costs applied in system.
• Collaboration with multiple stakeholders from regional offices, local agents, procurement, finance, trades, etc to provide accurate cost information in system
• Provide business requirements to Information System Department for any analysis of backend data and development of system enhancement to improve costing accuracy

Requirements

• Min Bachelor Degree in Maritime, Data Science, Statistics or equivalent
• No experience, training provided. Data / Business Analysis Internship exp will be advantage
• Those with experienced will be an advantage

$3.7K - No exp

Up to $4.5K - For experienced candidate

Freight Forwarding industry

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 7200 passionate experts in 22 countries throughout Europe, APAC, Middle East and the Americas

Currently, we are looking for Data Management Specialist which would be based in Singapore

Responsibilities and requirements

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution with 1 to 3 years of relevant IT working experience
• Experience in managing data reconciliation/quality checks/dashboarding (implementation, monitoring and troubleshooting
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA
• Hands on experience in Snowflake and Tableau
• Experience in performing User Acceptance Testing (UAT)
• Experience in in providing documentation support, e.g. in technical/functional specifications
• Able to work closely with business end-users, data vendors, data product team and data engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes
• Able to provide clear requirements and collaborate with data engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets