Responsibilities:

• Physical IMACD support
• Installation of server
• Develop, manage, document, and update technical and quality standards.
• Data Center walkthrough services
• Escort Services
• Media management
• Data Sanitation
• site capacity movement
• Monitor and manage environment and equipment.
• Manage the movement of equipment.
• Manage services by third parties security personnel.
• Other ad hoc data center activities as and when required.

Requirement:

• Familiar with Data Center activities.
• Possess server hardware knowledge
• Willing to work on staggered working hours between 7am and 7pm

Job Summary

The candidate will play a key role in automating production operations, ensuring seamless integration with the daily monitoring operations of the Agency’s IT systems.

Key Responsibilities

•Continuous Service Improvement: Add value to Data Centre Operations by identifying improvement opportunities to sharpen Production stability, stakeholders experience and overall service quality.

•Identifying opportunities for automation within production processes to streamline operations and reduce manual intervention.

•Timely escalation and communication of major incidents such as escalation matrix, leading, driving, facilitating, and chairing all investigation activities.

•Being accountable for resolving the incident with workaround or permanent solution.

•Participate in troubleshooting system and network connectivity problems before escalation.

•Monitoring production metrics and performance indicators to ensure targets are met.

•Ensuring compliance with safety and regulatory standards in production.

•Other ad-hoc duties as instructed.

What we are looking for

•At least 5 years IT experience as Level 1 Production Operations engineer.

•Strong analytical skills: The ability to analyse production processes and identify areas for improvement and optimisation.

•Technical Proficiency: Profound knowledge of production systems issues and effective solutions to enhance operation efficiency.

•Problem-Solving Aptitude: A knack for troubleshooting production issues and devising effective solutions to enhance operational efficiency.

•Experience in Data Centre facilities, including temperature and humidity monitoring system, smoke detection and fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTC, keypress units, etc.

•Familiarity with AWS tools such as CloudWatch, Cloud Trail, etc would be an advantage.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Define and manage Service Level Agreements for all data sets in allocated areas of ownership
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
• Influence product and cross-functional teams to identify data opportunities to drive impact
• Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
• 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
• 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

• Master's or Ph.D degree in a STEM field

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

You will be actively involved in data management of clinical research studies and long-term study databases. Your responsibilities will include:

1) Extract data from medical case report, maintain database, and perform data mining from hospital Electronic Medical Record (EMR).

2) Perform ETL (Extract, Transform and Load) raw data from enterprise data warehouse.

3) Harmonize data from multiple sources and transform raw data into analyzable insights.

4) Perform analysis of registries and databases to identify and interpret key patterns and to support the communication of these insights to internal and external stakeholders on a planned regular basis and on ad hoc requests.

5) Maintain and build AI applications across tumor types, for examples, information extraction, entity recognition and predictive analysis with machine learning models.

6) Database environment scheduled server maintenance and acceptance tests.

7) Cross-institutional access account application and management.

8) Assist the Principal Investigator in submission of accurate and timely closeout documents. Coordinate appropriate and timely payments to participants where applicable.

9) Handle all initial and follow up communications between patients, healthcare professionals, clinical trial industry sponsors and PI/Co-Investigators.

Requirements:

1) Degree or Master in Life Sciences, Bioinformatics, Statistics, Computer Science or Data Science.

2) Have programming and data science background. Data wriggling skills using Python and technical knowledge on SQL are must.

3) Skill and knowledge on other tools like R, programming, OBIEE, JSON, XML, HTML, structured and unstructured data processing and Tableau will have added advantage.

4) Experience in healthcare data and health data standards is desirable.

5) Experience in descriptive and predictive analytics will have added advantage.

6) Meticulous, with excellent organizational and time management skills.

7) Good communication, organizational and interpersonal skills.

8) Ability to complete tasks independently with minimal supervision.

9) Ability to work on multiple projects involving multiple stakeholders concurrently.

Responsibilities:

• The Data Engineer will lead in data collection, data analysis, and data consolidation to provide key business insights for management.
• Stakeholder collaboration to define business and information needs to deliver data-centric solutions.
• Translate business requirements into analytics and reporting specifications.
• Automate data collection process and digitalise existing workflows
• Support the digitalisation transformation team in improving operational efficiency
• Coordinate collection and consolidation of data
• Conduct data cleaning and vetting, check and verify data to ensure accurate data input
• Apply analytical, statistical and operational research knowledge to transform data into insights to facilitate decision making.
• Prepare weekly and monthly reports
• Report critical issues observed through information analysis
• Troubleshoot, research and fixing issues
• To look into continuous improvement of data and business processes to improve efficiency and productivity
• Understanding internal department user needs; build, maintain and optimize systems & process together through acquired data
• Recommend IT tools, digital transformation ideas for productivity improvement
• Other duties as assigned

Requirements:

• Minimum Degree with 2 year of experience in Data Analysis would be an added advantage
• SQL coding background will be advantageous
• Tertiary technical background required

Job Description
As a Data Engineer, you will design, develop, and optimize data pipelines to support analytical and operational use cases. Your role will involve ensuring data integrity, availability, and consistency across systems while working closely with data scientists and business analysts.

Key Responsibilities:

• Design and implement ETL processes for large datasets.
• Build and maintain data pipelines using cloud services and big data tools.
• Optimize and enhance data storage and retrieval solutions.
• Collaborate with cross-functional teams to meet business data requirements.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2-5 years of experience in data engineering or related roles.
• Proficiency in SQL, Python, and data pipeline tools like Apache Spark.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

• 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.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

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

Key Responsibilities

• Assist with the installation and support of data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware components.
• Handle data-bearing devices, including hard drives and SSDs.
• Operate within a ticket-based environment for task management.
• Use pallet jacks or other lifting tools to move equipment safely.
• Support the Data Center Inventory and Asset Management Team in managing inventory and shipping tasks during peak times.
• Flexibility to work during weekends or holidays when required.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related field.
• At least one year of experience in IT Support or Monitoring (fresh graduates with a proactive mindset are encouraged to apply).
• Six months or more in handling technical equipment or machinery.
• Familiarity with computer hardware and components.
• Preferred certifications include CompTIA (A+, Server+, Network+) and Basic Structure Cabling (BSC).
• Physically capable of standing, walking, and lifting frequently, with or without equipment assistance.
• Strong communication skills in English, both written and spoken.
• Enthusiasm for learning and expanding technical skills.

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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

Wells Fargo is seeking an APAC Data Management Lead / Senior Lead Data Management Analyst to join the International Data Management team. The team is part of the CIB Data Management team, supporting EMEA & APAC legal entities. The team supports all the businesses and functions within the region and is responsible for creating data sourcing plans for various use cases, end to end management of data quality issues, implementation of enterprise data governance frameworks & supporting adherence to BCBS 239 requirements. Learn more about the career areas and lines of business at wellsfargojob.com.

About the Job

The International Data Management team is looking for an APAC Data Management Lead. A key part of the role will be liaising with APAC stakeholders to understand data requirements & issues and deliver on a timely basis. Lead will also be responsible for execution of Data Governance initiatives in the region.

Responsibilities

• Proactively build partnerships with key senior stakeholders in the region to advance data management book of work in the region
• Partner with key stakeholders (e.g. Finance & Risk reporting teams in the region; global upstream & tech partners) and create data sourcing plans to cater for new regulatory reporting requirements and for strategic data remediation
• Lead end to end data quality resolution (e.g. Data issue triage, performing root cause analysis, partnering with global stakeholders in driving resolutions)
• Take a lead on internal & external audit requests for the data management function in APAC (e.g. understanding the requirements, providing relevant artefacts on a timely basis, ability to clearly explain the process & artefacts to the audit)
• Take a lead on data governance initiatives in the region (e.g. BCBS 239 and local regulatory adherence, Initiatives driven by enterprise data management policy & procedures)
• Prepare and present materials in relevant data councils & senior stakeholder forums (e.g. Steerco)

Required Qualifications:

• 7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 10-15 years of work experience in banking of which 5+ years spent in a Data Management function
• Sound knowledge of BCBS239 principles and industry adherence practices.
• Experience related to data quality, data enablement & data governance functions
• Ability to influence senior management
• Strong written and verbal communication skills with ability to communicate at all levels
• Strong ability to work independently & exercise independent judgement to identify and resolve problems
• Experience working in matrix organisation
• Exposure to regulatory reporting & project management will be advantageous

We are partnered with an established bank in search of a Manager for thier Data Centre, to oversee the end-to-end operations and maintenance of data center facilities, ensuring high availability, optimal performance, and adherence to stringent security and regulatory standards.

Responsibilities:

• Data Centre Operations & Maintenance:Lead 24/7 operations, ensuring compliance with all regulatory and operational standards, and maintain uptime and system availability.
  Oversee facility infrastructure, including power, cooling, security, and network management to support high-density, mission-critical environments.
  Conduct regular inspections and proactive maintenance to prevent disruptions.
  
• Cluster Supply Organisation Collaboration:Engage actively in a cross-functional team structure, working with agile methods that support rapid, flexible responses to changing conditions and customer needs.
  Embrace iterative development practices, continuously enhancing products and services to deliver valuable functionalities to customers.
  
• Team Leadership & Development:Lead a team of data center technicians and engineers, guiding skill development, encouraging accountability, and fostering a “fail fast” approach to enable rapid correction and adaptation.
  Share specialized knowledge across cells and chapters, maintaining open communication for regular, timely feedback.
  
• Strategic Planning & Process Improvement:Coordinate data center activities, including system installations, upgrades, repairs, and maintenance, aligning with the bank's digital strategy.
  Manage the full product lifecycle, taking quality, compliance, and customer needs into account.
  Implement agile quality assurance and risk management frameworks to ensure secure, reliable operations.
  
• Capacity & Resource Management:Anticipate capacity needs, optimize space, power, and cooling, and manage a budget to ensure cost efficiency while maintaining performance standards.
  Organize and prioritize regular tasks, using a proactive approach to risk, compliance, and resource management.
  
• Security & Compliance:Ensure physical and data security, maintaining compliance with regulatory standards (e.g., PCI-DSS, ISO 27001) and internal policies.
  Coordinate disaster recovery (DR) and business continuity (BC) planning, ensuring frequent failover testing and readiness.
  
• Vendor & Stakeholder Engagement:Manage relationships with vendors and service providers, ensuring adherence to service-level agreements (SLAs).
  Liaise with IT and business stakeholders to align data center activities with broader business goals.
  

Requirements:

• Degree in Computer Science, Engineering, or a related field
• Financial Services experience is a must
• Minimum of 7 years in data center operations
• At least 4 years in a management role in the banking or financial sector.

Job Description

• Co-ordinate with construction team to ensure all inspection and testing requirements are fulfilled and work quality is achieved in order to meet client’s requirement as per the contract.
• Monitor the implementation of the Project Quality and Environmental Plan
• Ensure quality of works in accordance with Quality Management Plan including development of Method Statements, Inspection & Testing Plans and Checklists
• Conduct site inspections
• Witnessing and sentencing of all site inspections within their disciplines
• Assess subcontractor/supplier QA arrangements for compliance with contract requirements
• Acquaint section personnel with QA requirements and arrangements in place to achieve them • Audit and monitor QA and Environmental systems for compliance and effectiveness
• Coordinating and maintaining a non-conformance control system including issuing of non-conformance reports to the Project Manager and ensure corrective actions are implemented and effective
• Control/check on status of issue/revisions of QC documents/drawings within section/on sites
• Assist the Project QA Manager and section managers in the production and implementation of Safety, QA, QC and Environmental procedures
• Ensure key dates are achieved for preparation and submission (where appropriate) of quality procedures, inspection and test plans
• Provide regular reports and analysis of QA performance to Project QA/E Manager
• Assist in the development and maintenance of company systems Coordinate documentation including planning, reviewing and updating of the Project Management Plan

Job Requirement

• Degree in Civil engineering
• 3 years’ experience as a QA/QC Engineer
• Preferably with data center project experience

Main Responsibilities:

• Design, build, and maintain scalable and efficient data pipelines for collecting, processing, and storing large datasets.
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Develop, implement, and optimize ETL (Extract, Transform, Load) processes for data integration from various sources.
• Ensure data quality, consistency, and accuracy across all systems.
• Perform data cleansing, transformation, and aggregation tasks as part of the data pipeline.
• Monitor, troubleshoot, and optimize data workflows for performance and reliability.
• Design and implement data models and schemas for efficient storage and querying.
• Maintain data infrastructure and ensure best practices for data governance and security are followed.
• Collaborate with cross-functional teams to provide insights and support business objectives through data-driven solutions.
• Continuously evaluate and implement new technologies and tools to improve the performance and scalability of data systems.

Qualifications & Experience:

• Bachelor's degree in Computer Science, Engineering, or a related fields.
• Minimum 10 years of proven work experience with Power BI.
• E2E knowledge in working with Azure.
• Prior experience in developing Power BI including backend data transformation.

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

At Acquiplus Private Limited, we are one of the fastest-growing companies specializing in face-to-face marketing.​ We believe in bringing out the best in our people and the potential to succeed is infinite. We constantly seek improvements, exploring the unknown to expose ourselves to various projects and stay relevant and versatile in today's market. We strive to outshine the best at everything we do with utmost enthusiasm.

Given future expansion, we aim to provide a unique and innovative approach to increase profits and growth for our clients. We promise to excel in everything we do and provide the best for our people.

Main Responsibilities:

• Develop and propose targeted marketing strategies and solutions that align with clients' goals and objectives.
• Hold regular team meetings to evaluate and understand marketing needs.
• Support the planning of sales and marketing events, including seasonal campaigns.
• Build relationships with industry professionals to enhance brand visibility.

Job Requirements:

• Strong communication and interpersonal skills with a creative and conceptual mindset.
• Capable of managing and prioritizing multiple projects effectively.
• Friendly, resourceful, innovative, and energetic team player.

The Opportunities:

• One to one mentorship provided
• Career advancement to lead the team and manage projects
• Development workshops to upskill yourself
• Travelling Opportunities

Click APPLY NOW to find out more in details, we regret to inform that only shortlisted candidates will be notified.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the AI & Data team in our Singapore office.

Your key responsibilities

• Design, develop, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
• Collaborate with data scientists, data analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Implement data quality checks and monitoring to ensure data accuracy, consistency, and reliability.
• Optimize data pipelines for performance, scalability, and cost-efficiency.
• Develop and maintain data models, schemas, and metadata to support data analytics and reporting.
• Work with big data technologies such as Hadoop, Spark, and Kafka to process and analyze large volumes of data.
• Implement data security and privacy best practices to protect sensitive data.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay up-to-date with the latest trends and best practices in data engineering and big data technologies.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least 2 years’ experience as a Data Engineer with experience in development and maintenance support
• Data Migration experience in AWS, Azure, Hadoop, GCP environments
• Experience in development and maintenance of data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data component

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply today!

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 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)

Salary: up to $2800

Duration: 6 months contract

Working Days & Hours: Mon-Fri Office Hours

Location: Changi north (islandwide transport)

Job Description:

• • Develop and foster strong relationship with key account.
• • Serve as the key liaison person between client and internal departments on request and issue resolution.
• • Take ownership of key account’s new program implementation. Engage in initiative and project discussion. Lead and monitor implementation progress.
• • Manage, monitor and control stockholding. Prepare stockholding and indent reports for monthly reviews.
• • Support monthly KPI metrics and perform root cause analysis to improve metrics & performance, timely submission of internal and external reporting, as well as, present operational KPI.
• • Manage Replenishment and inbound Inventory in line with the forecast or indent, commercial and stock holding requirements.
• • Review materials forecast and execute Supply Plan, analyses Key Planning Parameters to achieve a balance between Inventory and Forecast.
• • Analyse Forecast Variance and identify strategies to improve the Forecasting process to minimize the variance.
• • Analyse the variance of demand and supply, pro-actively monitor the fulfillment gaps, drive investigation of root cause and recovery plan
• • Establish appropriate safety stock level meeting required service levels.
• • Drives continuous improvement initiatives to meet inventory goals
• • Reviews slow moving items, block inventories according to Excess and Obsolescence Policy.
• • Effectively use ERP system to manage high number of material SKUs.
• • Review work processes and initiate process improvement plans.

Job Requirements: Min Diploma / Degree in Supply Chain / Logistics / Business or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Lab Technician / Lab Chemist (Surface Finishing Chemical)

5 Days
830am-530pm
$1800-$3000
(Company transport from Boon Lay MRT)

Responsibilities

• Perform quality control daily
• ⁠Prepare standard solution and acids
• ⁠Handling chemical of plating industry
• ⁠Maintain lab cleanliness
• Carry out various testing procedures relating to customer needs

Requirements

• Laboratory work is a plus
• Good knowledge of laboratory health and safety standards
• Diploma/Degree in Chemistry

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Experience :

2-4 years of Data entry experience in Singapore

Responsibilites :

To handle daily processing / data input of customer requests on timely and accurate basis.

• Process and perform data entry into the UAT system.
• Perform manual data entry into the live application system promptly and accurately for data not migrated.
• Check that all amendments made on the forms are properly counter signed.
• Perform any ad-hoc assignments given by Supervisor and contribute and provide feedback to Supervisor on process related issues and give suggestion for improvement.
• Perform administrative duties and support functions from time to time
• Customer Service - Achieves zero customer complaints/ negative feedbacks
• Work location : Tampines / Raffles place

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

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

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

Job description

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

Location: East

Job Scope:

• Follow the Project Management Process from award until handover including all statutory requirements and deliverables
• Develop comprehensive project plan for multiple projects
• Reviews project proposal or plan to determine time frame, funding limitations, procedures for accomplishing project, staffing requirements, and allotment of available resources to various phases of project to ensure project progresses on schedule and within budget.
• Coordinate and be involved in pre-& post tender survey for SED/ ordering and pre-con survey on the existing building (applicable to MOD projects only).
• Sell variation orders timely to reach financial objectives.
• Provide regular project management reports for management during Work in progress (WIP) review.
• Directs and coordinates activities of project team which includes attend site meeting, involve in all internal and external inspection / handover of projects for public use with no critical defects and place order for spare parts via spare parts finder database.
• Attend monthly Work in Progress (WIP) meeting with Commercial and EI Finance Controller.
• Coordinate daily activities and resolve technical problems internally with factory, Sales Engineering Department, Drawing Office and externally with our suppliers and contractors.
• Manage cost and pre-empt / highlight potential cost overrun and late delivery of project.
• Ensure compliance to Organizational Norms, policies, procedures and requirements of the process and quality hold points defined in the work instructions of the Top Range Excellence / Fulfilment Plus process.
• Sign off as defined in ON 17100 for major projects, execute all contractual terms to continuously protecting financial entitlements.
• Demonstrate safety leadership, conduct periodically quality walks, safety walks and safety inspections.
• Responsible for the employee and subcontractor safety compliance at project sites and conducting safety walks on regular basis

Job Requirements:

• Min. Degree in mechnical/electrical engineer or any relevant field
• No experience required as training will be provided
• Able to start immediate or within a short notice preferred

For interested applicants, please send your updated resume to: [email protected]

All candidates’ information will be treated with the strictest confidence

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

99C4599

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

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