Total 9,521 data entry job vacancies in Singapore

Working hours: Mon to Fri, 8:30am to 6pm

Position Summary

This position is responsible for physical and technical tasks related to Data Center Infrastructure equipment.

Primary Responsibilities

• Perform physical and technical tasks of intermediate & escalated complexity on Data Center infrastructure equipment including but not limited to servers infrastructure, network infrastructure, or other equipment on the DC floor, without immediate supervision.

• Work alongside Technicians in installing, troubleshooting, and maintaining servers, networking equipment, and cabling (requires moving and racking equipment)

• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.).

• Use hardware/software tools and workflows (automation) in support of these tasks.

• Strictly follow all policies, processes, and procedures related to the activities and data center environment.

• Perform maintenance on a timely basis with adequate recordkeeping.

• Maintain equipment in running order with minimal downtime.

• Ensure a safe working environment and perform maintenance in a safe manner.

Requirements

• NITEC in IT or technical based qualifications.

• Familiar and comfortable using and working with IT equipment and software.

• Experience in repair of electronics components of computers.

• Scissor lift license would be an added advantage.

• Well Established Company
• Basic $2500 - $2800 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Tuas
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Data entry
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

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

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Languages:

• English (Fluent)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

• Reporting to the Team Manager, monitor and ensure product delivery velocity with good & transparent communication
• Be the leader of the unit spearheading new projects with goals / vision aligned with HoD's direction, together with fellow data scientists, under the 5 pillars in the team (Forecasts x 2, Pipeline, Optimization and Visualisation)
• Provide guidance to junior staff in SG office and nurture them with the aim to build up a solid support force for data science-related product development
• Be the Product Owner for OASIS data pipeline maintenance, initiate and coordinate deployment of enhancement whilst overseeing the overall stability of the pipeline
• Ensure all products are delivered without exceptional results and address failure with Product Owner within tolerance timeline
• Initiate enhancement of in-house forecast solution with information provided by counterparts/front office through meetings, visits and inquiries
• Follow up on poor forecast accuracy locations and provide suggestions on how to improve the current logics and system
• Analyze forecast inquiries from local offices and RHQ, proposing enhancements to the current logics/models
• Respond to the forecast system users' inquiries with regards to the system forecast value background

Requirements

• Bachelor's Degree in Data Science, Analytics or Mathematics
• Good knowledge of Mathematics/Statistics/Computer Science/Machine Learning
• Proficiency in staff management and related managerial techniques
• Proficiency in Python/SQL, capable of working independently or as part of a team
• Proficiency in Cloud Platform (GCP is preferred)/ Google Suite (Apps Script is a plus)/ Github/ Jira/ Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Strong problem-solving and risk analysis skill to analyse internal system data as well as the forecast system background data
• Proficiency to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow up actions
• Minimum 5 years' experience in SaaS product development preferred; shipping knowledge will be advantageous

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Job Description:

• Monitor and ensure product delivery velocity with good communication
• Be the leader spearheading new projects together with fellow data scientists.
• Provide guidance to junior staff and nurture them with the aim to build up a solid support force for data science-related product development
• Be the Product Owner for data pipeline maintenance, initiate and coordinate deployment of enhancement whilst overseeing the overall stability of the pipeline
• Initiate enhancement of in-house forecast solution.
• Analyze forecast inquiries from local offices, proposing enhancements to the current models.
• Respond to the forecast system users' inquiries.

Requirements

• Proficiency in Python/SQL, capable of working independently or as part of a team
• Proficiency in Cloud Platform (GCP is preferred)
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Proficiency to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow up actions
• Minimum 5 years' experience in SaaS product development preferred

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Senior Data Engineer, you are responsible for design, build, and maintain systems that enable the collection, storage, and processing of large volumes of data for analysis and application use.

What you will do:

• Design, develop, and maintain robust data pipelines and architectures.
• Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Mentor and guide junior engineers, providing technical leadership and support.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.
• Participate in code reviews, providing constructive feedback and ensuring code quality.

The ideal candidate should possess:

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
• Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
• Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

about company

I am currently working with a well-known tech product based company focusing on travel and ecommerce.

Salary structure: Base + bonus. 3 rounds of interview to offer stage. 5 days in office at CBD.

about job

• Collaborate with multiple product domains to understand their challenges and goals in ranking and recommendation systems
• Translate customer needs and business goals into technical requirements and ML services
• Develop, implement, and maintain data-driven solutions and systems
• Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

skills and requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
• Min 4 years of experience in data science or related roles
• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
• Experience/familiarity with some of the following:
• Recommendation algorithms (collaborative filtering, content-based filtering, deep learning for recommendations)
• Ranking algorithms and metrics
• Experimentation
• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).
• Proficient in data manipulation and analysis using SQL.
• Experience with cloud-based tech stack and containerization. GCP will be preferred.
• Proven experience in managing data projects from inception to completion.
• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 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.

Responsibilities

• Work on the entire data production by implementing data ingestion pipelines (from multiple sources and in different formats), storage, transformation, then their provision: datamarts, cube, reports, datasets to feed models scoring (data science), API, mainly using Dataiku and Google BigQuery

• Ensure that the integration pipelines are designed in a manner consistent with the overall data framework in collaboration with the HQ’s data tech lead and according to best practices/ define framework.

• Be part of a continuous improvement approach by optimizing and reusing existing assets for streamline.

• Take part in data integration processing aspects of data quality controls, monitoring, alerting and technical documentation, as well as data management (data models and mapping, data documentation, repositories, description of the transformations applied, etc.)

Skills/Requirement

• Minimum of 3 years’ experience in IT development roles such as data integration on Google Cloud & Dataiku or similar cloud services

• Mastery of the data stack components in Google Cloud Platform (certifications appreciated) including but not limited to: Google Big Query (nested fields, partitioning, merge SQL, authorized views, RLS), Cloud storage, Cloud functions, Cloud composer, Google Firestore, Google data catalog or similar services of other cloud services.

• Proficiency of Dataiku (on Google big query): development of dataiku flows, implementation of scenarios, scheduling, management of versioning, releases into production, administration etc.

• Mastery of complex SQL queries

• Good knowledge of Python is a plus

• Development practices with data exchange architectures: webservice, API, streaming.

• Development in an agile team and the tools used in CI / CD (Git, Bash, CLI, Azure devops, Jira, Confluence)

• Knowledge of Microsoft Power BI, data catalog tool, data quality, data management

Permanent, 5 days, Serangoon.

Our Client:

Data center Cooling Solution Provider

Job Scope

• Together with technical engineer, to develop solutions based on client’s unique requirement.
• ·70% Hunter role and 30% farmer role to data center builder, consultant, owner.
• Manage the sales cycle from request for information (RFI) to closing
• · Proactively carry out prospecting activity in order to increase the sales opportunity

Requirement

• Degree in Mechanical/Electrical engineering
• 3 years’ experience in data centre cooling solution sales with good sales record
• Good network with data centre builder, consultant, owner

What’s on offer

· On target pay + car allowance ($600) + commission

· Stable Management

· Dynamic work environment

Benefits:

• Monthly salary up to $2500
• 44 hours/week; shift roster
• AWS + Bonus + Allowance provided.

Job Scope:
Service Crew

• Delivering outstanding food and beverage service to guests.
• Taking orders, serving food and drinks, collaborating with kitchen staff, promptly addressing customer needs.
• Maintaining workplace cleanliness.
• Managing billing and payments.

Kitchen Staff

• Ensure timely preparation and serving of well-cooked food.
• Aid in the food preparation process.
• Maintain cleanliness and organization in the kitchen.
• Adhere to safety and hygiene procedures.

Job Requirements:

• No experience needed, training will be provided.
• Candidate with interest/relevant experience in F&B/Service industry is welcome to apply.
• Mature candidates are welcomed.

To Apply, kindly click on the "APPLY NOW" button and job details.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Benefits:

• Salary up to $2600 - $3300
• 5 Days, Office hours
• West
• Comprehensive employee benefits (Variable Bonus)

Job Scope:

• Maintain AP or AR accounts.
• Assist with General Ledger and Bank Reconciliation.
• Support the preparation of budgets and financial statements.
• Accurately generate and issue customer invoices promptly.
• Prepare Bank Reconciliation, Quarterly GST Reporting, and Monthly Cashflow Forecast.
• Handle administrative accounting tasks, such as matching and checking vendor invoices, claims, POs, and DOs.
• Ensure timely and accurate month-end closing.
• Update accounting data in the company's software system.
• Perform any other duties assigned by supervisors.

Job Requirements:

• Diploma in Accounting, Finance or equivalent qualification
• Candidates with 1-year relevant working experience are welcome to apply.

To Apply, kindly click on the "APPLY NOW" button and job details.
We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Position title : Junior Marine Surveyor

Working Location: Islandwide [On ship]

Working Days: 5 Day A Week

Working hours : 0830 hrs to 1730 hrs [Prepared to work irregular hour due to ship schedule/Public Holiday]

Salary : Basic $2300 excluding overtime (During peak period OT at least 20 hours) + Allowance depends after probation

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job Scope

To attend / carry out various types of survey on board ship and sites on cargo, cargo measuring equipment and marine related activities.

To perform marine survey onboard vessels and cargo inspection on sites in order to assess and report on their condition for insurance claim.

To verify the equipment onboard vessel to ensure compliance with various standards or specifications.

Job Requirement

Nitec/ITE related in marine or Diploma in Nautical, Maritime Studies, Marine Engineering or Marine related from a local polytechnic/private institution.

Experience onboard vessel will be an advantage.

Prepare to work at irregular hours including Public Holidays due to ship schedule.

Opportunity to travel overseas upon satisfactorily perform

Provide support to manufacturing activities

Manual Intervention Tasks

Shift Support:

• Coordinate with other shift Automation resources to ensure smooth handovers.

• Contact and assist duty Automation Engineer on resolving complex technical tasks.

Safety and Compliance:

• Adhere to safety protocols and guidelines.

• Report any safety incidents promptly.

• Comply with company policies and procedures.

Job Requirements:

• Min Degree in Science/Pharma/Lifesience/Biomedical & above

• Possess good troubleshooting skills

• Full awareness of current Good Manufacturing Practices (cGMP)

• Required to wear personal protective equipment such as safety glasses/goggles, gloves and safety shoes

• Ability to work around chemicals (alcohols, acids & bases)

If you are interested in any of the positions, do kindly drop your most updated resume to

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2600, after 3 months confirmation $2700

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

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

No experience/Diploma in Precision/Mechanical/Mechatronic/Electrical/Electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400-$2800+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Address: Gul Circle (Have company bus transportation islandwide)

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

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

Do you love healthtech and Singapore put together? Then you just might love this company

The company is a multiple award-winning Healthcare IT Leader that digitises, connects, and analyses Singapore's health ecosystem Its ultimate aim is to improve the Singapore population's health and health administrations by integrating intelligent, highly resilient, and cost effective technologies with process and people

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to

protect sensitive data in both AWS and Databricks, while ensuring

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

The role of Business Development Manager in the Data Services Unit plays a crucial role in driving growth, expanding market presence, and ensuring that data services remain competitive and innovative.

Key Responsibilities:

Sales and Revenue Growth:

• Develop and implement business development strategies, sales strategies and pricing strategies to achieve revenue targets.
• Identify and pursue new market and business opportunities within the market data sector.

Client Acquisition:

• Identify and target potential clients in the financial services industry.
• Build and maintain relationships with key decision-makers and stakeholders.

Partnership Development:

• Establish and manage strategic partnerships with other financial institutions, technology providers, and data vendors.
• Negotiate and finalize partnership agreements

Market Research:

• Conduct thorough market research to understand industry trends, competitor activities, and customer needs.
• Use insights to inform business development plans and product innovation.

Reporting and Forecasting:

• Prepare regular reports on business development activities, sales performance, and market trends.
• Analyze data to measure the effectiveness of business development strategies and make adjustments as needed.

Skills and Qualifications:

• Experience: Proven experience in business development, preferably in the financial services or market data industry.
• Networking: Strong networking and relationship-building skills.
• Negotiation: Strong negotiation and deal-closing abilities.
• Communication: Excellent verbal and written communication skills.
• Analytical Skills: Ability to analyze data and trends to inform strategic decisions.

Fresh Graduates Welcome to Apply!

About the Role

As a Data Center Operations Technician on-site with our client, you’ll be part of a dynamic team, ensuring smooth operations and hardware support in a high-tech environment. This hands-on role is perfect for individuals passionate about technology and data centers, including fresh graduates eager to start their careers in a rapidly growing industry.

Key Responsibilities

• Hardware Support: Perform installations, moves, additions, and changes for IT equipment, including networks, servers, and storage devices.

• Decommission Equipment: Safely decommission and handle disposal of IT assets (HDD, SSD, backup devices).

• Cabling Management: Connect and disconnect patch cables to maintain structured cabling within the data center.

• Server Hardware Troubleshooting: Replace parts, reseat modules, and conduct SFP module and hardware fixes (HDD, memory, mainboard replacements).

• Data Center Inspections: Conduct regular physical and visual checks on equipment and facilities.

• Maintenance Support: Provide on-site assistance during scheduled maintenance and change events.

• Issue Troubleshooting: Resolve IT and network issues with timely updates and escalation as needed.

• Inventory & Vendor Management: Manage inventory (RMA, cold spares) and coordinate with vendors for repairs, installations, and scheduled visits.

• Access and Site Management: Handle data center access requests and manage operations at POP sites.

• Reporting and Process Improvement: Generate regular progress reports and support continuous improvement initiatives.

• On-Call and Shift Work: Be available for after-hours support based on an on-call schedule. （On-call and Shift allowance available!)

Requirements

• Experience: At least 1 year in Data Center operations preferred; fresh graduates with relevant knowledge are encouraged to apply.

• Technical Skills: Proficiency in structured cabling, patching, and hardware troubleshooting.

• Problem Solving: Ability to address issues promptly with clear communication and escalation.

• Critical Environment Experience: Experience in large-scale data centers is a plus.

Preferred Skills and Knowledge

• Knowledge of rack, space, power, and cooling allocations

• Capacity management (space, power, cooling, patch panel availability)

• Familiarity with Incident/Change Management processes

• Understanding of Data Center Space, Power, and Cooling Management

• Relevant Certifications (e.g., CDCP, ITIL, Server+, Linux+, Network+, A+, CCNA) are advantageous

About Greenlane

Greenlane is a Singapore-based recruiting firm specializing in banking, trading, tech, and various other industries.

EA Licence No.: 20C0261 | Registration No.: R23118854

Job Responsibilities:

• Perform daily operational duties for Manual and Remote reading related activities via the various meter reading and billing systems and following up with relevant parties to resolve daily operational issues
• Perform User acceptance testing for meter reading and billing system changes and upgrade activities
• Attend to enquiries via Case Activities, telephone and emails
• Any other ad-hoc duties as assigned by supervisor

Period:

• contract, immediate till June 2026

Working Hours:

• Monday to Friday, 8.30am to 6pm

Salary:

• up to $2800

Location:

• Kallang Sector

Requirements:

• Applicants need to possess at least a diploma
• Possess good knowledge in Microsoft Excel
• Possess good knowledge in SAP system would be advantageous
• Able to work well both independently and as part of a team in a dynamic environment
• Possess good communication and interpersonal skills
• Meticulous and able to meet deadlines

Interested applicants, kindly email your detailed resume (MS Word format is preferred):
[email protected] (Registration no: R1107390)

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, #19-01 Shenton House, Singapore 068805

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

Job Description:

• Maintain accurate records of all inbound and outbound deliveries within the warehouse and data center environment.
• Conduct routine inventory audits to ensure warehouse stock levels align with control requirements.
• Manage the movement and organization of equipment and materials using pallet jacks or other assisted lifting tools.
• Operate within a ticket-based system to manage and prioritize warehouse and logistics tasks.
• Oversee the secure handling and disposal of materials, including data-bearing devices (e.g., hard drives, solid-state drives), according to standard procedures.
• Perform material movement and tracking activities, including shipping, receiving, and managing inventory across the warehouse.
• Carry out shift-based tasks such as managing ticket queues, resolving escalations, and clearing issues to enable efficient logistics and inventory activities in line with company policies and service level agreements (SLAs).
• Flexibility to work outside standard business hours, including weekends and holidays as needed.

Requirements:

• Diploma / Degree in Logistics, Supply Chain Management, IT, or equivalent.
• At least 2 years of experience in Logistics, Warehouse Operations, or Inventory Management, for Data Centers.
• WSQ Manage Work at Height Course
• Ability to handle standing, walking, lifting, and working at heights, with or without equipment assistance.
• Effective communication skills with proficiency in both written and spoken English, for collaborating with regional and global teams.

❗️Our company is expanding and we want YOU ❗️

We are a bunch of dynamic individuals who works towards being the Leader in the Sales & Marketing Industry. We work closely with MNCs in the market Locally and Overseas. We believe that our People are our Greatest Asset. Here, we focus on developing each and every individual from personal to business skills and we do our best to see everyone coming in & out with Happiness.