Working location: Orchard

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

Are you a detail-oriented and creative individual who thrives in a fast-paced environment? Join us as an Events Planner and bring memorable experiences to life, from conception to execution.

• Plan, coordinate, and execute events such as corporate meetings, conferences, product launches, and celebrations
• Work closely with clients to understand their needs, objectives, and budgets, ensuring each event exceeds expectations
• Source, negotiate, and manage relationships with venues, caterers, decorators, and other event vendors
• Prepare and manage event budgets, ensuring cost efficiency without compromising on quality
• Create detailed event timelines and ensure all milestones and deadlines are met
• Oversee event setup, manage logistics, and troubleshoot issues on the event day to ensure flawless execution
• Collaborate with marketing teams to promote events and manage attendee registration or ticketing processes
• Conduct post-event assessments, including feedback collection and reporting, to continuously improve processes

Why Join Us?

• Be part of a dynamic team that creates unique and impactful events
• Opportunity to work on diverse projects that challenge and inspire creativity
• Competitive salary and perks, with clear career growth opportunities
• A vibrant and collaborative work environment where your ideas matter

REQUIREMENTS

• Minimum Diploma and above
• Exceptional organizational and multitasking skills with attention to detail
• Strong communication and negotiation skills to work effectively with clients and vendors
• Ability to think on your feet and solve problems under pressure

Turn your passion for creating unforgettable experiences into a fulfilling career. Apply now and let’s create extraordinary moments together!

EA Reg. Number: R21100629

EA License Number: 22C1278

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organizations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1000+ employees across 18 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Responsibilities

With the support of a Junior Data Consultant, you will have the opportunity to carry out various projects independently and in collaboration with Artefact’s teams of experts: Strategy, Activation, Analytics, Data, Creation.

At the agency or at the client’s premises, the consultant is a true project manager. The diversity of your missions will allow you to be as close as possible to customer issues, to acquire a real knowledge of data and to quickly develop your skills.

Your missions will include:

• define the needs of its customers by conducting interviews with customer teams and multiple technology partners,
• to help build, formulate and present strategic data recommendations for the client,
• to organize and conduct workshops and training to ensure the success of its projects,
• to develop and present data recommendations to clients,
• to imagine and present new support proposals to convince our future customers,
• to participate in training courses to acquire the technical knowledge necessary for its mission as an advisor and to keep abreast of the latest technological innovations on the market,
• and finally to participate in the writing of content on transversal subjects (e.g. publication of research works, writing articles or business cases).

Requirements

• Graduated from a business school (desired), the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• A first knowledge of digital marketing (within a start-up, agency, etc.) or consulting (Strategy, Management, IS), will obviously be valued.

About Our Client

• Leading Industrial System Provider
• Monday to Friday, 9.00am - 6.00pm
• Basic + AWS + VB + Standby Allowance

Job Description

• Perform installation , relocation, testing and troubleshooting of exhaust gas solution abatements.
• Perform onsite preventive maintenance of equipment and attend to equipment abnormalities.
• Co ordinate all service actions with customers to minimize downtime or system interruptions.
• Implement required field modifications or updates as released in Engineering Change Orders which may involve removal and installation of assemblies, sub-assemblies, machines and sub-machines
• Prepare and maintain accurate logs, service records, part usage documentation, diagnostic and troubleshooting records.
• Represent company to the customer , utilizing knowledge on company’s product lines and services to keep existing or potential customers informed when new or additional features are released or identified.
• To handle other tasks and duties as and when requested by superior.

The Successful Applicant

• Diploma in Electrical Engineering, Electrical Engineering Technology or other related engineering field.
• Entry level or min 1 year work experience related experience

Reach out

Please submit your updated resume by using the APPLY NOW button

“This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to Kanry Search Singapore Pte Ltd’s PDPA and e2i’s PDPA.”

Kanry Search Singapore | 24C2261

Sarah Lau | R22110930

If anyone If any of these have ever crossed your mind, Consider a switch! FRESH graduates or ORD personnel are welcome!

We’re searching for individuals who want to improve their

communication skillset and improve their skillset! We want you!

At Talent Axis we prioritize our people -they are our greatest asset. We focus on personal growth, soft skills development, and fostering a positive, team-oriented work environment. Our employee consistently expresses their satisfaction and joy when coming into office.

Benefit

✈️travelling opportunities

Working location: Orchard

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

Are you a creative thinker with a passion for crafting impactful marketing campaigns? Join us as a Marketing Executive and be the driving force behind strategies that captivate audiences and grow our brand! Here’s what you’ll do:

• Develop and execute innovative marketing campaigns across digital and traditional platforms to elevate brand visibility
• Craft compelling content for social media, websites, blogs, email marketing, and more to engage our target audience
• Manage and optimize social media channels, SEO/SEM campaigns, and online advertising to drive traffic and conversions
• Stay ahead of market trends and competitor activities, using insights to refine strategies and deliver results
• Organize and oversee marketing events, product launches, and brand activations that leave a lasting impression
• Ensure brand consistency across all marketing channels while bringing fresh ideas to enhance brand appeal
• Build relationships with industry partners, influencers, and media to expand brand reach
• Measure campaign performance and ROI, presenting actionable insights for continuous improvement

Why Join Us?

• Be part of a vibrant team that values creativity, innovation, and collaboration
• Competitive remuneration with growth opportunities for ambitious marketers
• Gain exposure to diverse marketing channels and cutting-edge tools
• Work in a fast-paced environment in Singapore, where your ideas can make an immediate impact

REQUIREMENTS

• Minimum Diploma and above
• A flair for crafting innovative ideas and translating them into impactful campaigns
• Ability to think strategically and align marketing efforts with business goals
• Ability to create engaging content tailored to different platforms and audiences

Ready to take your marketing career to the next level? Apply now and let’s create something amazing together!

EA Reg. Number: R21100629

EA License Number: 22C1278

Working Location: Labrador Park

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Assist in planning and tracking project schedules, tasks, and deliverables
• Maintain project documents, reports, and records for easy access and updates
• Provide administrative and logistical support to project teams
• Organize and schedule project meetings, preparing agendas and taking minutes
• Track the status of project milestones and update stakeholders
• Assist in managing project resources, including materials and budgets
• Coordinate communications between team members, clients, and stakeholders
• Address minor project issues and escalate concerns when necessary

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong ability to multitask and prioritize tasks effectively
• Excellent verbal and written communication for collaboration and reporting

EA Reg. Number: R21100629

EA License Number: 22C1278

Working Location: Labrador Park

Working hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Manage calendars, schedule meetings, and handle correspondence for executives
• Maintain and organize business documents, reports, and records efficiently
• Assist in coordinating and tracking the progress of projects to ensure timely delivery
• Conduct research on industry trends and competitors, providing insights to support business decisions
• Act as a liaison between clients and the business, ensuring smooth communication and relationship management
• Help organize business meetings, conferences, and events
• Support expense tracking, invoicing, and budget preparation
• Address and resolve minor business issues or escalate them when necessary

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong multitasking abilities with excellent attention to detail
• Familiarity with Microsoft Office Suite and other business tools
• Excellent written and verbal communication to interact with clients and team members effectively

EA Reg. Number: R21100629

EA License Number: 22C1278

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

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

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.

Working location: Orchard

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

Join our Management Trainee Program, where you’ll gain hands-on experience, receive mentorship, and develop the skills to lead our organization into the future.

• Participate in a structured rotational program across key departments to gain in-depth knowledge of business operations
• Work closely with senior leaders and mentors to develop leadership and decision-making skills
• Contribute to critical projects that drive organizational growth and innovation
• Analyze business processes, identify opportunities for improvement, and present actionable recommendations
• Collaborate with cross-functional teams to execute tasks and achieve project objectives
• Interact with clients, stakeholders, and industry experts to understand market dynamics and customer needs
• Tackle real-world business challenges with creativity and strategic thinking
• Fast-track your career into leadership roles upon successful completion of the program

Why Join Us?

• Gain diverse exposure to all aspects of the business in a dynamic and supportive environment
• Receive personalized mentorship and guidance from experienced professionals
• Competitive salary package with clear growth opportunities
• Be part of a forward-thinking organization that values innovation and initiative

REQUIREMENTS

• Minimum Diploma and above
• Strong analytical, problem-solving, and communication skills
• A proactive, adaptable mindset with a willingness to learn
• Demonstrated leadership potential through internships, projects, or extracurricular activities
• Ability to work collaboratively in a team-oriented environment

Kick-start your career with us and unlock your potential to become a future leader. Apply today and take the first step towards an exciting and rewarding journey!

EA Reg. Number: R21100629

EA License Number: 22C1278

Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

If you are looking for a marketing experience and take on leadership roles this is your opportunity!

Role:

- Increase our clients’ revenue and brand awareness

- Plan and implement activities (campaigns and road shows etc)

What we are able to provide:

- Mentorship and guidance

- Professional and personal developments

- Travelling opportunities and career progression

Requirements:

- Great learning attitude and work ethics

- Great communication and interpersonal skills

- Self-driven and a great team player

If this position sounds like you, apply today! Our slots are filling up fast and only shortlisted applicants will be contacted.

• Three (3) years of working experience in Data Centre Engineer Operations experience;
• Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and ITIL v4 Foundation Certification or equivalent
• Work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.
• Ensure the network cabling in the data centre and within the racks are neat and tidy.
• Work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.
• Plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.
• Maintain up-to-date documentation of the data centre design layouts.
• Manage the physical security of the data centre in accordance with the guidelines provided by the Customer.
• Monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:
• · Security Alarm and Security Card Access System; and
• · Closed-Circuit Television (CCTV)

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business

Our Training & Simulation Systems delivers learning, training, and simulation solutions and systems that elevate training experiences; offer immersive technologies that transform learning and training; along with training support and consultancy services for aerospace, land, maritime, public safety and security, and commercial segments. We provide comprehensive end-to-end solutions, from design and development to seamless implementation, maintenance, and ongoing operations.

Together, We Can Make A Significant Impact

You will be part of the data engineering team. Your role includes designing and developing high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Be Part of Our Success

• Build and support data pipelines and all associated Software Engineering infrastructure tasks.
• Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.
• Analyse data requirements, prepare functional and non-functional specifications for the data products.
• Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.
• Analyse and interpret data into business insights.
• Design and develop the dashboards and visualizations using the BI tools.
• Ability to understand and convert the business logics into SQL queries and validate it against the data.
• Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.
• Implement deployment approaches and methods to roll-out the system changes.
• Stay up-to-date with industry standards and technological advancements that will improve the quality of the data products.

Qualities We Value

• At least 3 years of end-to-end data warehouse, data lake and big data implementation experience with similar industry will be a plus point.
• Proficient with at least one or more of the following technologies: Informatica , SSIS, SQL Skills, SQL Server , Azure Data Factory, Data Warehouse, ETL Framework.
• Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.
• Preferably possess a good knowledge about: AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.
• Able to work under pressure when there is an escalated demand in the project cycle.
• Understand the solution requirements and progress to develop, build and operationalise the solutions.
• Enjoy problem solving in different domains and industries.
• Love working with a highly energetic and competent team.
• A self-starter with an analytical approach to problem solving.
• A client-centric, outcome driven and quality focused team player.
• Excellent communication; both in written and spoken English.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Responsibilities

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross- functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP/KNIME & Other duties as assigned

Requirements

• Degree/Master in Microelectronics, Data Science or a related field with Minimum 3 years' experience in semiconductor manufacturing equipment, semiconductor fabrication factory, semiconductor parts/peripherals or related industry
• Proven working experience as a Data Scientist in the semiconductor industry with a focus on plasma dry Etch process
• Ability to develop and implement algorithms for process optimization and problem solving
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modelling
• Proficiency in using various data science tool sets and programming skills (e.g., Python, JSL, R etc.) for data manipulation, visualization, and analysis

Additional info

• Company industry: Electronic & SemiCon Manufacturing
• Location: Paya Lebar

GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | VO UYEN AI LINH | Registration No: R22109232

• 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.

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

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Role Summary: The Data & AI Project Manager is responsible for leading data analytics and AI initiatives across both internal and external teams, ensuring that all projects align with the agency’s strategic goals and deliver valuable insights. This role manages the lifecycle of data and AI projects, from planning and development through to implementation and optimization, working with both vendors and internal data specialists.

Key Responsibilities:

• Vendor and Internal Team Coordination:
  • Manage relationships with external data and AI vendors while also leading internal data teams (local or overseas) to align on project priorities, timelines, and deliverables.
  • Facilitate collaboration between internal and vendor teams, ensuring clear roles and responsibilities and efficient information flow.
  • Regularly review and manage the distribution of work between internal teams and vendors to optimize resources.
• Data Strategy and AI Project Management:
  • Develop and drive a comprehensive data and AI strategy, identifying projects that provide the highest business value.
  • Define project KPIs, set clear success criteria, and establish metrics to measure the effectiveness of both in-house and outsourced data/AI initiatives.
  • Ensure alignment of all data initiatives with business needs, prioritizing projects based on their impact on business performance.
• Requirements Documentation and Solution Design:
  • Work closely with stakeholders to capture data requirements and document them into actionable project plans for internal teams and vendors.
  • Provide guidance on technical requirements, data integrity, and quality standards for AI models and analytics projects.
• Quality Assurance and Validation:
  • Oversee quality assurance for data and AI outputs, ensuring deliverables are accurate, reliable, and aligned with strategic objectives.
  • Lead UAT and feedback loops with stakeholders, coordinating with both vendors and internal teams for adjustments and refinements as needed.
  • Implement validation processes to confirm the accuracy of insights, allowing business teams to confidently apply findings.
• Reporting and Continuous Improvement:
  • Track and report on project outcomes, including impact assessments, user adoption metrics, and ROI for each AI and data project.
  • Encourage knowledge sharing between internal and vendor teams, implementing a continuous improvement process for data practices and AI model accuracy.

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Excellent communication and writing skills a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

KEY RESPONSIBILITIES

• Installing/de-installing/relocating all distributed systems and network hardware (CSUs, DSUs, routers, switches, encryptors, firewalls, etc.) in the Americas Data Centers within the internal service level mandates
• Installing/de-installing /extending/relocating/testing all carrier circuits to the network hardware
• Installing/de-installing/relocating all patch cabling for systems and network hardware
• Installing/de-installing/relocating all Data Center hardware
• Assist with the coordination of cabinet power, circuit, and patch infrastructure installations w/various facilities, electrical and communications vendors
• Assist with the coordination of network component configurations
• Coordinate and Install SAN cabling infrastructure
• Managing network ports and assist with the management of all consumable items (cables, labels, tie wraps, rail kits, etc.)

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