Responsibilities:

This role will be responsible for a variety of data center functions, including:

• Assist with incident, change, and problem management
• Manage Data Centre inventories – equipment, testers, consumables, etc.
• Fault troubleshooting and rectification
• Support Planned Activities such as network / facilities upgrade, new installation
• Maintain documentation / records, procedures and communication
• Manage & Supervise subcontractors and third-party vendors
• Project Management for special network & facilities implementation
• Compliance with standards of Data Center – PCI-DSS & ISO27001
• Implement physical security access control
• Handle customers’ requirement such as delivery acceptance, remote hand supports, etc.
• Handle customers’ order such as provisioning of cages, racks and cross connects
• Monitor and supervise data centre facilities maintenance
• Review and improve operational processes
• Able to perform day and night shift duty
• Work directly with the Global Service Operations Center, Global Service Desk, Security, and Facilities Management teams to maintain data center hosting integrity, during provisioning and troubles resolution
• Work closely with various departments such as DC Engineering, Sales and Finance
• Work closely with colocation clients to ensure their remote hand requests are carried out & met
• Work closely with security and facility team to deliver good customer experience and to ensure our SLAs are met

Requirement:

• Degree or Diploma in Engineering, Data Centers, Telecommunication, IT discipline
• 2 - 4 years’ experience in Data Centers or similar environment experience.
• Knowledgeable of building facilities Electrical & Mechanical (HVAC, CCTV, security access, BMS Fire protection system).
• Knowledge of PCI-DSS & ISO 27001
• Relevant network certifications (e.g. CCNA, CCNP)
• Establish and maintain effective working relationships with peer groups and key internal stakeholders and maintain agreed external stakeholders relationships relevant to the achievement of business objectives
• Knowledge of test equipment such as circuit tester, Optical Power Meter etc.
• Knowledge in using Data Center Infrastructure Management Systems & Building Management System
• Project & Inventories Management
• Strong process, procedural, analytical and problem-solving skills
• Good customer facing skills
• Able to works shifts and under minimum supervision
• Able to work independently and under stress
• Excellent interpersonal, influencing and negotiation skills.
• Excellent written and verbal skills required
• Able to do shift work (12 hours)

Responsibilities:

• Support the validation and updating of global employee data onto SAP.
• Liaise with global HR Administrator providing coaching and direction as required
• Liaise projects to identify, correct and re-engineer HR processes to ensure quality data
• Liaise mass data change projects and processes
• Maintain currency of documented processes
• Administration, analysis and tracking of system access requests for HRIS (SAP HR), HRMR (HR Measurement & Reporting), Talent Link modules and Workforce Analytics (WFA)
• Daily oversight of the HR Data mailbox (intake/triage), including issues and escalations as required
• Ensure data access authorisations in accordance with privacy controls
• Develop requirements documentation and conduct analysis of HR data access system change requests (SCRs) with impacted areas/owners
• Raise awareness of system access gaps, risks or concerns to management & SAP security team to arrive at a sound business solution
• Empower self-sufficiency with data apps provided to any number of end users
• Create a knowledge base for your team, department, or entire organization. Build and share reusable workflows as best practices or starter kits for beginners

Requirements:

• Minimum bachelor’s degree and Freshers/experience with good Knowledge or experience in Knime.
• Proficient in Knime modules.
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

1. Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
2. Perform preventive maintenance on data centre equipment and systems.
3. Respond to alarms, troubleshoot issues, and ensure prompt resolution.
4. Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
5. Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
6. Ensure strict adherence to data centre physical security procedures.
7. Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
8. Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

1. 3+ years of experience in data centre facility management.
2. Experience working in a 24x7 mission-critical environment.
3. Strong knowledge of electrical and mechanical systems in data centres.
4. Experience with fire suppression systems and access control systems.
5. Proficiency in troubleshooting and problem-solving.
6. Excellent communication and interpersonal skills.
7. Must have prior experience working in data centre operations in financial institutions.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore 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.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Job Responsibilities:

Responsible for designing and maintaining data architecture and pipeline in support of AML uplift analytics needs; support seamless deployment of AML uplift analytical models into UOB’s production environment.

Responsibilities and Activities:

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance / FCC model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance / FCC Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

Job Requirements:

• 3-5 years of experience working in a data engineering and / or data operations role, ideally in the financial services industry.
• Proficiency in Python/ Spark and SQL to code complex data engineering use cases.
• Experience with schema design and dimensional data modelling.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Familiarity with Agile methods and tools like JIRA
• Ability to create and maintain production read data pipeline
• Strong people skills and take a big picture approach to planning
• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions.
• Bachelor’s degree in Computer Science Computer Engineering, IT or equivalent.

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

The Opportunity:

• Experience in Hyperscale Data Center Project Mangement
• Office location: Central.
• Work hours: Mon to Fri
• $6,000 - $10,000 + Bonus

Adecco is partnering with a Global Data Center Owner to look for professional and confident Project Manager to handle internal stakholders and external parties to complete the Hypserscale Data Center within the regions.

The Job:

• Project Leadership: Plan, lead, and coordinate data center projects across all phases, from design and construction to operational handover, ensuring seamless execution from inception to completion.
• Technical Expertise: Leverage deep knowledge of data center infrastructure and construction processes to drive successful project outcomes.
• Project Management: Oversee project timelines, budgets, and quality to ensure delivery aligns with company objectives and industry standards.
• Stakeholder Engagement: Facilitate effective communication with diverse stakeholders, ensuring alignment and collaboration throughout the project lifecycle.

The Talent:

• Degree in Engineering/Project Management/Information Technology or technical field
• 5 years project management experience in hyperscale data center
• Knowledge in TIA-942, Uptime Institute Tier Standards, and LEED for data center project
• PMP/Prince 2 AND CDCP/DCDP is a bonus

Next Step:

• Interested applicants, please send your resume to [email protected] with your current and expected salary.
• Only shortlisted candidates will be contacted.

Job Descriptions:

1. Arrange and discuss with users to understand the reporting requirement, and document down the requirements into technical specification or mappings for development team to deliver

2. Identify the source data required for creation of the reports and dashboards, interpret the data to understand the relationship of different datasets

3. Facilitate the computerization of analytics and data collection processes

4. Collaborate with source system PICs to establish the data connection and data feeding automation

5. Work closely with existing Data Warehouse team to bring the data into DWH system for reporting and dashboarding

6. Carry out complex analysis of datasets and conduct appropriate data validation

Key skillset:

1. At least 3 to 5 years experience in BA, interfacing with Technical team and Business team

2. Knolwedge / Exeriece in Power BI , Qlik and data analytics is preferable

3. Banking knowledge and able to understand the corporate banking, trade finance

Benefits Summary:

• Up $5600 + Variable Bonus + Benefits
• 5 Days work week
• Working Location: North
• MNC with good working environment

Responsibilities:

• Overseeing the implementation, maintenance, and optimization of marketing technology platforms, such as CRM systems, analytics software, and automation tools
• Analyzing marketing and customer data to generate insights and improve campaign performance
• Using tools like Zapier, AppScript, and RPA to streamline marketing processes
• Staying updated on MarTech trends and testing new solutions to improve marketing performance
• Any ad-hoc duties as required

Interested candidates, 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].

Follow us on Facebook for more info:
https://www.facebook.com/EC-Recruitment-Pte-Ltd-113771667194961/

Our dedicated and approachable E&C consultants will get back to you soon for a confidential discussion.

By submitting your application or resume to us, you will be deemed to have agreed and consented us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

**We regret to inform that only shortlisted candidates would be notified. **

Edward TOH
Registration No: R1658602
EA License No: 20C0278

5days ,permanent, Aljunied

Product

Heating , ventilation, air conditioning (Hvac)solution for data center

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Years in business : > 70 years worldwide

Area of business: Global

Job scope

· To design and draw HVAC solutions, to perform heat load calculations for clients.

· To visit site and attend to meetings with clients

· Submission of project specifications and certifications for client's approval.

· Sourcing of competitively priced equipment for the project

· To see through successful completion of project from inception to commissioning.

Requirements

· Min Diploma in Electrical/Mechanical/Electronic

· 2Years experience in HVAC design, installation ,commissioning works.

· 2 years experience in data center hvac project management

· Proficient in Auto-cad interpretation of job site drawings.

Bloomberg runs on data. Our products are fuelled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our Team

As the Loans Data team, we are responsible for the aggregation, enhancement, transformation and management of all loans data on the Bloomberg terminal. When firms look to raise money in the capital markets, we connect them to lenders & investors providing monitoring, pricing and risk management information. We capture, model and store all information related to the loan, including reference, pricing and covenant information, as well as any events that happen over the lifecycle of an instrument such as refinancing, repricing, reinstatement & amendments and bankruptcies. Our Data Analysts possess a unique combination of subject-matter-expertise in Fixed Income, good communication skills and ability to build relationships with various partners, as well as interest in technology or data management related tools.

What’s the role?

We are looking for a highly motivated individual with a passion for finance, data, and technology to enhance value from our data products. As a Senior Data Analyst on the Loans Data team, you will play a key role in expanding Bloomberg's loans databases to further deliver an industry-leading data product offering. We will trust you to use your relationship management skills to procure and maintain existing content provider relationships and generate market insights to promote Bloomberg’s brand and loan data, and problem-solving skills to manage the workflow of extracting, transforming and loading of timely, accurate and comprehensive data.

You will be involved in improving the data quality of our loans database to ensure that it meets our customer’s needs and ensure data is fit for purpose. You will collaborate closely with global team members, domain experts, market players and business partners, managing priorities of different initiatives and using industry knowledge to help drive decisions and generate new dataset offerings. You will work to identify innovative workflow efficiencies and implement technical solutions to enhance our systems, products and processes. You will bring a unique combination of subject-matter-expertise in Fixed Income, good interpersonal skills, and a passion for problem solving to address our clients’ needs.

We'll Trust You To:

• Understand our customers’ needs and markets to ensure data is fit for purpose, ready for use, and meets service level agreements (SLAs)
• Collaborate with a wide variety of partners from Engineering to Sales on product development and implementation
• Improve our data quality through implementation of quality control strategies including development of quality control rules
• Combine domain expertise and technical skills to generate insights
• Balance the best of technical and product knowledge to implement solutions for customers
• Promote, market and brand Bloomberg loans datasets and products to both internal and external partners
• Proactively support customers by helping them interpret data and predicting their follow-up questions/needs
• Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our ETL processes/overall product strategy

You’ll Need to Have:

• Bachelor’s degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
• Excellent written and verbal communication skills in English
• Demonstrated continuous career growth within an organization
• 4+ years of relevant work experience in the financial services industry, including exchanges, market data providers or financial institutions
• Experience in data management, for example improving data quality, accuracy, efficiency or timeliness
• A proven track record of successful project management skills and prioritizing tasks accordingly
• Experience taking a logical approach and apply critical thinking skills in order to solve problems
• Experience working autonomously, handling priorities from multiple internal and external partners

We’d Love to See:

• Previous work experience with the Bloomberg Terminal or Bloomberg Market Concepts certification
• Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel as well as experience with SQL or Python
• Experience using data visualization tools such as Tableau, QlikSense or Splunk
• Experience transforming workflows into more timely and efficient processes

If this sounds like you:

Apply if you think we're a good match. We’ll get in touch to let you know what the next steps are.

Bloomberg is committed to improving the communities, cities and countries in which we work, and we support various initiatives including hiring and developing local talent. So, we may prioritise candidate with legal authorisation to work full-time in Singapore for this role, who do not require Bloomberg to sponsor their work authorisation.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

Benefits:

• Basic up to $3000 (Salary will commensurate with experience & qualifications)
• 5 Days / 5.5 Days
• Multiple Location
• No Experience are welcome to apply!

Job Scope:

• Handle office documentations
• Handle of PO/DO/Invoices etc.
• Correspondence handling and email management
• File organization and data maintenance
• Phone call management and message handling
• Coordination of meetings and events
• General office tasks and support for the team or executive

Job Requirement:

• Admin / Customer service / sales support / SAP experience will have added advantage.
• Excellent Communication Skills
• Entry Level, No Experience are welcome to apply!

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

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

Company’s Profile
Founded in 2008, Global TechSolutions (GTSS) is a trusted name in semiconductor equipment manufacturing, with over a decade of experience serving front-end semiconductor wafer manufacturers. Our team, backed by strong OEM expertise, excels in repairs, refurbishment, installations, and field service support.

Benefits:

• Guaranteed AWS

• Performance bonus

• Increment after probation (subject to performance)

• 1 year cash completion bonus

Salary Package:
- Basic Salary: $2200
- Shift Allowance

- Fixed monthly attendance allowance

- OT pay eligible

Working Location: Kranji

Working Hours: 12 hours shift work, (4 days work, 3 days off | 3 days work 4 days off)

Key Responsibilities:

• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc.

• Installation of vacuum valves, fore line pipes, heater jackets.

• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation.

• Support 6S & logistic activities (parts cleaning, arrangement, label-ling, housekeeping.

Requirements:

• Min. NITEC in any Engineering field or equivalent certification

• Willing to do hands-on work and comfortable to be in clean room suit

• Able to work on weekends

*Able to start work within short notice will be highly advantageous.*

**Please be notified that only shortlisted candidates will be notified**

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

JOB TASKS AND SPECIFICATIONS

1. Execute strategies and customer engagement opportunities for key accounts in the specific industry sectors across Asia Pacific.
2. Assist in facilitating smooth implementation of contractual agreements.
3. Collaborate with different stakeholders to put together a plan of action for the clients and current supply chain business operations.
4. Monitor progress update of projects, initiate and implement process improvements to ensure project success.
5. Conduct research and market intelligence work to facilitate formulation of business development plans and strategies.
6. Assist in the preparation of proposals, quotations, presentations and solutions in timely manner and with utmost professionalism.
7. Tracking of KPI performance
8. Provide process improvement and optimization support relating to Logistics Data Management
9. Assist in Data and Statistical Analysis.
10. Perform other job related functions as assigned.

REQUIREMENTS

• Candidate must possess at least Diploma and above in any field
• Competent in English and Mandarin language (spoken and written)
• Good exposure in business presentation. Savvy with presentation software
• Proficient in MS. Office, Excel, PowerPoint and computer knowledge
• Excellent interpersonal and communication skills.
• Fresh graduates welcome to apply
• Meticulous and have a can-do attitude

Only with 3PL experience may apply.

Salary shall commensurate with relevant experience.

We regret that only shortlisted candidates will be notified.

Entry level candidates are welcome to apply

Job Responsibilities:

• Prepare and maintain financial records in compliance with regulations.
• Process invoices, payments, and expense reports promptly and accurately.
• Basic data entry.
• Handle scanning & bookkeeping.
• Any other ad-hoc matters assigned.

Job Requirements:

• Diploma / Degree in Accounting or equivalent
• Or at least 2 years relevant experience if without Diploma/Degree
• Proficient in Microsoft Office and must have used accounting software
• Meticulous, performance-oriented, and self-motivated with good interpersonal and communication skills
• Responsible, meticulous & committed to deadlines.
• Team player and ability to work independently.
• Welcome to the candidate with no experience.

Working Location: Raffles Place.

Working Hours: Mon - Fri 9AM - 6PM

Zenith Infotech is a Tech Recruitment Company in Singapore for the last 27 years. We are looking for a suitable candidate to fill the above position of BI Engineer.

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

Overall (10) years of IT / Data Engineering experience.

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

At least (3) years of hands-on experience in:

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema
• Python Coding Experience

Required qualifications Bachelors of Engineering

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

Responsibilities:

As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies
strong MSTR knowledge

Job Description: Azure Data Engineer

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of hands-on experience in Azure data services. The ideal candidate will play a critical role in designing, developing, and optimizing data pipelines and analytics solutions to support our organization’s data-driven initiatives.

Key Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Implement and manage data integration and transformation workflows.
• Build, optimize, and maintain scalable data solutions using Azure Synapse Analytics or Azure Datawarehouse.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business objectives.
• Ensure data quality, consistency, and reliability across all data processes.
• Monitor, troubleshoot, and improve data workflows for performance and scalability.
• Stay updated on industry best practices and emerging Azure technologies to implement innovative solutions.

Requirements:

• Experience: At least 2 years of hands-on experience with Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Certifications: Preferably holds a Microsoft Azure Data Engineer Associate certification or other relevant Microsoft certifications.
• Strong understanding of data integration, ETL/ELT processes, and data modeling.
• Familiarity with Azure cloud ecosystem and services (e.g., Azure Storage, Azure SQL Database).
• Solid experience with SQL for querying and managing data.
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with data governance, security, and compliance in cloud environments.
• Knowledge of scripting languages (e.g., Python, PowerShell) for automation.
• Familiarity with big data tools and frameworks within Azure.

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.
• 2 positions available

Office Location: East

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

Responsibilities:

• Identify and assess potential candidates

• Conduct interview and manage selection procedures

• Design job descriptions and interview questions

• Organize and attend recruitment events

• Lead discussions in quarterly and annual hiring needs by department

• Foster long-term relationships with past applicants and potential candidates

• Involve actively in Human Resource activities with regards to Hiring and Managing of potential candidates

Requirements:

• A levels

• Candidates with strong track record in sports or co-curricular activities will have an added advantage

• Candidate with great team spirit, persistency, good communication and interpersonal skills are welcome to apply

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

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

5 days | Mon - Fri | Central Area

Responsibilities & Duties

Account

• Maintaining accounting and related records (HongKong , Korea, UK,

Netherlands, Germany etc.)

• Completing the periodic and annual audit

• Ensure payments are checked, verified, authorised and approved

• Timely preparation and closing of accounts

• Support and advise project team on financial & accounting matters

• Review and implementation of accounting procedures and policies

Admin

• Manage general communication such as post, deliveries, couriers, etc.

• Manage supply of stationery and other office supplies

• Coordinate the travel arrangements for office on their travel arrangements

and logistics (bookings, visa applications, invitations letters)

Tee Xin Li Reg No: R24121619
The Supreme Hr Advisory Pte Ltd EA No: 14C7279