We are a boutique consulting firm located centrally, experiencing strong growth. We are currently looking for Recruitment Consultant to support us through the next phase of the growth and development roadmap.

• Training + Guidance by dedicated Leader
• Career Growth
• Basic + Attractive Incentives

Job Scope as a Recruitment Consultant:

• An integral role as a recruiter in fulfilling clients’ staffing needs.
• Handle the 360-degree recruitment and talent acquisition process.
• Conduct interviews and phone screenings to select potential candidates that meet clients' requirements.
• Actively develop connections, pursue new business opportunities, and manage relationships with existing accounts.

Requirements:

• Diploma / Degree in any discipline
• High commitment level, sales driven and team player
• Good interpersonal and communication skills

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 the shortlisted candidates will be notified.

Email Address: [email protected]

Recruitpedia Pte Ltd

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

ARE YOU LOOKING FOR A ROLE THAT REWARDS YOU?

Our Company

We are part of a regional outsource events & marketing company, currently located in certain parts of South Asia. Where we work closely with clients to provide marketing solutions, increases market shares and creating brand awareness.

Our Environment

Here we will provide you a place that fosters innovation, fun and excellence.

You get the freedom to be around people with good vibes, have the time for development and traveling with the company.

Recruiting

We are looking out for potential candidate to join us as Events Sales Representative in our expansion plans.

As long as you are:

• FUN

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore that specialises in Events and Roadshows.

We're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any sales & marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

We are seeking a highly skilled and motivated Data Engineer with extensive expertise in AWS Redshift and data modeling for a dynamic and fast-paced role. This position requires a deep understanding of data warehousing concepts, ETL processes, and the ability to design and optimize scalable data pipelines.

Key Responsibilities

• Design and develop scalable data pipelines and ETL processes to ensure efficient data flow and integration using AWS Redshift.
• Perform data modeling to structure data for optimal querying and analytical performance.
• Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to gather and deliver data requirements.
• Optimize data storage, retrieval, and processing systems to improve performance, scalability, and reliability.
• Ensure data integrity, consistency, and security across data systems and workflows.
• Identify opportunities for process improvement and automation to enhance the overall data infrastructure.
• Provide training and ongoing support to end-users on AWS Redshift functionalities, ensuring best practices are followed.
• Stay up to date with industry trends, emerging technologies, and best practices in data engineering and AWS ecosystem.
• Incorporate user feedback to enhance the effectiveness of data engineering solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer, with significant expertise in AWS Redshift.
• Strong proficiency in data modeling techniques and best practices for scalable solutions.
• Hands-on experience with ETL tools and processes.
• In-depth knowledge of data warehousing concepts and related tools.
• Proficiency in SQL and scripting languages like Python or Java.
• Experience with other AWS services such as S3, Lambda, and Glue is highly desirable.
• Strong problem-solving skills with a keen eye for detail.
• Excellent communication and collaboration skills to effectively work with stakeholders and team members.
• AWS or Data Engineering certifications (e.g., AWS Certified Big Data, AWS Certified Data Analytics) are a plus.

Additional Details

• Job Type: Contract or Full-time (Specify as required)
• Location: Singapore
• Application Requirements:
  Interested candidates should submit their Word resume to [email protected] with the following details:Current salary
  Expected salary
  Notice period
  

Responsibilities

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

As the central department of the Data Science team, our goal is to build and maintain an efficient and accurate data system to ensure data quality. By establishing robust mechanisms, monitoring systems, and effective work models, we aim to enhance the efficiency of the DS team's operations and the identification of key business issues, ensuring that data-driven decisions drive continuous business optimization and growth.

Responsibilities

1. Identify core business metrics and establish a unified metric system, including defining metric calculation methods, data sources, and update frequencies. Ensure that the entire data chain from collection, processing, to analysis is clear and accurate.Collaborate with data BPs, RD , QA, and business line DS to create mechanisms that ensure data accuracy and effectiveness, and regularly review and update the core metric system.

2. Develop data monitoring and alert systems, and establish rapid response and problem-solving processes to ensure that data anomalies and business issues are promptly identified and resolved.

3. Explore and optimize data science work models to systematically improve the efficiency of the DS team and enhance external collaboration.

4. Use data-driven approaches to identify key business issues, drive relevant analyses,promote solutions, and implement improvement measures.

Qualifications

Minimum Qualifations:

1. Bachelor's degree or above, with a background in short videos,social etc. preferred. Background in statistics, computer science, economics, data science, quantitative analysis, etc. preferred.

2. Proficient in SQL, with practical experience in using Python, or other programming languages.

3. Sensitive to data, able to quickly find the relationship between data and business, has a solid understanding of the engineering logic behind data processing workflows.

Preferred Qualifications:

1. Excellent communication skills and cross-functional team collaboration ability;

2. Minimum 5 years relevant work experience from a large-scale internet business.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Data & BI Lead to join our ERP Team on a 2-Year Contract basis. This person will report to Technology Director and is a subject matter expert and data champion, with previous experience and accountability of delivering scalable solutions and enterprise data models across business applications, reporting and analytics domains.

This individual will work closely with the Enterprise Architect, BI Analysts, Application and Data owners, taking ownership of the global data design and modelling activities in establishing robust dictionaries, data integration documentation, migration mapping, master and reference data landscapes within the existing architecture and transformational initiatives.

To be successful in this role the candidate will have the required technical experience coupled with appropriate project management experience to drive deliverables of data related projects. Further, the role requires active engagement with and management of 3rd party vendors to deliver projects as well as experience in managing internal stakeholders up to executive management level.

Functions and processes include:

• Data flow governance: Cataloguing of data objects and interfaces
• Master data and reference data modelling
• Data Warehousing and Integration design
• Migration planning and mapping
• Modern BI and Analytics architecture design and delivery
• Data flow accountability and responsible for ensuring data flowing through source systems, ERP and various platforms
• Target data architecture design supported by scalable environments, well-defined artefacts, data and interface catalogues, lineages, procedures, and standards collectively enabling seamless end-to-end orchestration and continuous delivery
• Provide guidance during capturing and translating business processes into physical data models, ensuring a scalable and extensible design is adhered
• In conjunction with business and technology transformation activities, define data platform capabilities aligned with current and future business models
• Oversight of data integration design and delivery initiatives including ingesting, transforming, staging, and consuming large amounts of structured and semi-structured data – both on- premises and on cloud – with knowledge of potential pain points

Key Skills & Qualifications Requirements

• Degree in IT, MIS, Data Science or Certification in Data Architecture / Data Engineering
• At least 8 to 10 years of experience in data architecture or related field
• A broad understanding of data environments, technologies, BI stacks, ETL and data visualization tools e.g. SQL Server, SQL Management Studio, SSRS, SSIS, SSAS, PowerBI, MDM experience
• Experience using and implementing hi-performing global data warehouses, data marts using MS Azure data components e.g. Data Factory, Azure Data Lake
• Proven experience in delivering end-to-end cloud data platform solutions using modern agile methodologies, data pipelines, serverless orchestration and CI/CD development processes
• Handed at least one major data modernizations engagement or been part of data transformation journey within an Enterprise.
• Experience operating with an engineering, agile and DevOps mindset
• Extensive experience of successfully and confidently engaging with senior stakeholders and being able to translate the key business drivers and requirements into Data Models and Solution Design
• Proven experience in working with, and driving outcomes from vendors for augmenting the Data Capabilities.
• Strong knowledge of data modelling and database and data warehouse design principles.
• Familiarity with data governance and security best practices: Good Understanding of the Enterprise Architecture Concepts and its implementation at the organization level
• Exceptional customer-facing, presentation and influencing skills
• Capacity to train and guide other team members and business teams on best practices data literacy
• Ability to manage and prioritize tasks efficiently
• Excellent third party and stakeholder management
• Ability to manage 3rd party vendors and lead engagement in matrix environment

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

We are looking for experienced static and mobile laser scanning professionals (TLS and MLS). Our new colleagues will perform LiDAR scanning of urban trees in Singapore and APAC, completing pre- and post-processing, geodetic and GIS related tasks.

Your skills and knowledge will ensure the precise preparations, the planning of survey projects, and the provision of data acquisition and processing.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Planning each area scanning as individual project.
• Scanning trees and urban objects (parks and streets).
• Performing basic maintenance and installation tasks of the equipment.
• Ensuring laser scanners and accessories are well calibrated according to specifications and requirements and kept in proper working order.
• Post-processing of scanned data with Riegl Software (training provided).
• Ensuring smooth logistics of the survey equipment.
• Maintaining assertive communication with authorities during the survey projects with the support of our HQ.

We need you to

• Have a minimum of 3 years of relevant working experience – field surveying.
• Be well versed in surveying technology and in using laser scanning equipment.
• Competence in pre- and post-processing, geodetic and GIS related tasks.
• Possess good technical sense and interest in state-of-the-art technologies.
• Hold a valid driving license and have a safety-conscious, responsible driving style.
• Have a good command of the English language.

We give preference to

• Degree in surveying or equivalent. Diploma holders in other professional areas with relevant experience will also be considered.
• Proven experience of working with high-value equipment.

We offer

• Opportunity to develop a product with high impact on the digitization and management of urban forests and on climate change adaptation in cities.
• Cutting-edge tools and technologies to work with, e.g., LiDAR remote sensing.
• Possibility to work and learn in an international, open-minded team of passionate (green-)tech experts.

Job Summary:

• Industry: Healthcare
• Location: Novena
• Work Schedule: 8:30am to 6pm (Mon to Thu) and 8:30am to 5:30pm (Fri)

Job Responsibilities:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement the company’s Data Strategy for decision making purposes
• Develop, review and update data-related policies to ensure alignment with the national data policies
• Oversee the management and maintenance of the company platform for data request to facilitate data requests by staff.
• Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other institutions and external parties for data request as well as to contribute to the group analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal
• Collaborate with the relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms
• Oversee the secretariat support for departmental and hospital working committees to support digital transformation agenda and build communities of practice to share knowledge and best practices
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

Job Requirements:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Senior Data Engineer to join our ERP Project Team on a 2-Year Contract basis. This person will report to the BI & Data Lead and will provide technical support for the data migration to the new ERP solution.

• Create a development, test & production environment with suitable support from IT.
• Support Data Migration Lead in source to target mapping.
• Develop the ETL coding required to migrate legacy data to loading templates, that the SI will then load. Will also have to version all code and provide auditable promotion of this from development to test to production within the Technical Data Migration Team Database.
• Creation of staging tables and other data structures within the Technical Data Migration Team Database. This will include separating data provided for different test phases e.g. SIT, UAT, Cutover and Go Live.
• Profiling data.
• Writing Business Data Cleansing Reports and Technical Validation Reports as data progresses through an ETL cycle.
• Supporting business reconciliation with Reports/Queries as data progresses through an ETL Cycle
• Understanding source legacy data
• Manage Junior Data Engineer's work

Key Skills & Qualifications Requirements

• Degree in IT, Computer Science or equivalent
• Relevant certifications such as SAP Certified Application Associate, Informatica Certified Professional, or similar are a plus.
• At least 5 to 10 years of relevant experience in successful data migration strategy and delivery associated with a global ERP implementation.
• Extensive knowledge of data structures and data migration tools.
• Experience with data migration processes.
• Proficiency in ETL tools and technologies such as SAP Data Services, Informatica, Talend, or similar.
• Strong understanding of data extraction, transformation, and loading techniques.
• Experience with database management systems such as Oracle, SQL Server, or SAP HANA.
• Strong SQL skills for querying, manipulating, and transforming data.
• Knowledge of data quality principles and best practices.
• Experience in implementing data quality rules and procedures.
• Strong analytical skills to identify and resolve data issues.
• Ability to troubleshoot and resolve technical problems related to data migration.
• Excellent communication skills to engage with stakeholders at all levels and work collaboratively with cross-functional teams and manage stakeholder expectations.
• Strong organizational skills to manage multiple priorities and deliverables.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Scientist/Quantitative Research position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai, Singapore, and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Conduct rigorous, open-ended research to address complex business questions using diverse datasets, deriving actionable insights that provide a competitive edge for the company

· Develop and maintain high-quality datasets, integrating internal and external data sources to support advanced analytics and machine learning initiatives.

· Build and deploy AI/ML models to address a range of business needs, from operational automation to strategic decision-making, ensuring models are impactful and aligned with organizational goals.

· Analyze and prioritize the company's key challenges, applying the 80/20 principle to focus efforts on high-impact problems.

· Foster a culture of learning and innovation by documenting processes, results, and data products to ensure transparency, reusability, and organizational knowledge sharing.

Requirements:

· Strong analytical mindset with a proven ability to extract deep, non-obvious insights through persistent inquiry and statistically rigorous methods.

· Resourceful problem-solving skills with the ability to source and integrate diverse data types, even when datasets are incomplete or unavailable.

· Interest or experience in maritime logistics, demand planning, pricing strategies, or similar domains.

· A degree in statistics, mathematics, computer science, economics or similar fields from a leading university

· Professional fluency in English or Mandarin to facilitate effective communication across diverse teams.

Desirable Qualities:

· Academic research experience, particularly in areas relevant to logistics, operations research, or econometrics.

About Us:

We are the largest global sales and 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.

Your role :

- Create brand awareness to customers

- Drive marketing campaigns via face to face interactions

Rewards :

- Travel opportunities - regional and international

- 1 to 1 Coaching Provided

- Great exposure that improves people

- Positive and friendly team environment

- Uncapped Earnings

- Weekly payout

Find out more with us!

We are a boutique consulting firm located centrally, experiencing strong growth. We are currently looking for Recruitment Consultant to support us through the next phase of the growth and development roadmap.

• Training + Guidance by dedicated Leader
• Career Growth
• Basic + Attractive Incentives

Job Scope as a Recruitment Consultant:

• An integral role as a recruiter in fulfilling clients’ staffing needs.
• Handle the 360-degree recruitment and talent acquisition process.
• Conduct interviews and phone screenings to select potential candidates that meet clients' requirements.
• Actively develop connections, pursue new business opportunities, and manage relationships with existing accounts.

Requirements:

• Diploma / Degree in any discipline
• High commitment level, sales driven and team player
• Good interpersonal and communication skills

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 the shortlisted candidates will be notified.

Email Address: [email protected]

Recruitpedia Pte Ltd

EA License No: 19C9682

EA Personnel No: R2198636 (Oh Puey Xin)

What a Data Science Manager does at Visa:

The Data Science Manager will be the strategic orchestrator of our data and analytics ecosystem, translating complex business challenges into impactful data solutions for our clients. This role requires a visionary who can integrate business strategy with technical execution, managing entire lifecycle of data products. You will identify, prioritize, and drive data initiatives to uncover strategic insights, collaborating closely with cross-functional teams to convert raw data into actionable business value. 

Why this is important to Visa

This role will support our client’s business by driving sales growth, optimizing marketing efforts, and improving customer engagement. It offers opportunities for professional growth in data analytics, enhancing your skills with cutting-edge tools. You will collaborate with diverse teams and explore innovative solutions to make data-driven decisions.
 

About the Role:
We are seeking a highly motivated Metadata Specialist to join our team. In this role, you will play a key part in the implementation and management of metadata to support enterprise data governance and compliance initiatives. If you have a strong background in data management, problem-solving, and stakeholder engagement within the financial services domain, we’d love to hear from you.

Key Responsibilities:

• Manage metadata activities across the entire lifecycle, including collection, quality control, and maintenance.
• Conduct thorough reviews of metadata to ensure accuracy, quality, and compliance with organizational governance standards.
• Provide recommendations on metadata improvements based on stakeholder input and governance guidelines.
• Support the onboarding of stakeholders, particularly within financial institutions, into the organization's data governance and compliance roadmaps.
• Collaborate with cross-functional teams to ensure metadata aligns with enterprise data management objectives.
• Identify, analyze, and resolve metadata challenges to support effective data discovery and utilization.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience with metadata management, quality control, and governance processes.
• Strong problem-solving skills, with the ability to analyze complex metadata issues and provide actionable solutions.
• Experience in stakeholder engagement, particularly in guiding financial institutions through data governance frameworks.
• Excellent communication and interpersonal skills to collaborate with various teams and stakeholders.

Preferred Qualifications:

• Familiarity with enterprise data governance tools and platforms.
• Experience in metadata management within financial institutions or highly regulated industries.
• Knowledge of compliance and data governance best practices.

EA License: R1873481

Company EA License: 11C4879

Are you looking to work with AI & RPA in a global organization committed to sustainability and innovation?

Don't look further and join Grundfos!

Job purpose:

To strategically lead the AI and automation delivery organization within CBS, driving the ideation, development, and implementation of the global CBS AI and RPA roadmap to enhance operational efficiencies, customer satisfaction, and competitive advantage globally, by operationalizing a new capability center in Singapore.

Key Accountabilities / Responsibilities

• Establish and operationalize a dedicated capability center in India for in-house AI development, and continuously lead and manage a highly motivated team. (20%)
• Establish and facilitate forums to engage and negotiate with senior management across CBS, cross-divisionally, and group functions to define and align AI initiatives and business objectives. (15%)
• Strategically formulate and deploy an AI and automation operating model, involving key stakeholders across CBS and Grundfos to foster innovation with cutting-edge technologies. (15%)
• Define and execute the AI and RPA roadmap to drive operational efficiencies across End to End CBS, and deliver value for One Grundfos. (15%)
• Lead the team to continuously develop processes, capabilities, and ways of working, and head technological progress and development to fulfill the business needs for scaling and technical advancements. (10%)
• Lead the change to ensure stakeholders are committed and actively participate in roadmap implementation, driving a strong collaboration and trust culture across team members and key collaboration partners for ideation, development, delivery, and implementation. (10%)
• Manage a global and diverse team, fostering a culture of innovation in a fast-paced and complex environment. (5%)
• Oversee budgeting and funding activities, ensuring optimal allocation and utilization of resources. (5%)
• Facilitate effective communication towards the CBS Leadership team to approve and prioritize roadmap activities and communicate decisions across the CBS organization. (5%)

Required Minimum Qualifications:

• Proven experience developing and executing key strategic initiatives within a complex business environment; experience working in a global environment is required.
• A Master’s degree in a relevant field is required.
• Knowledgeable of agile methodologies, demonstrating the ability to adapt quickly to change and efficiently deliver projects in a dynamic and iterative development environment.
• Experience developing and implementing operating processes and setting strategic direction for AI and automation initiatives, in a global context.
• Strong leadership in driving AI initiatives across functions, with a high focus on End-2-End impact
• Experience in leading people directly or indirectly.
• Ability to influence and guide teams and stakeholders.
• In-depth knowledge of AI and RPA applications and best practices.
• Expertise in technical RPA and AI solutions in order to set direction.

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, supporting top-performing departments including software development, engineering, product, marketing, content, and people management.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas. Some examples of stakeholders you will work with: Sales & Marketing, Product Operations, Customer support, HR and Finance teams
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs.
• Work in partnership with data-platform to define requirements and standards for data pipelines and transformations, ensuring alignment with broader team requirements.
• Drive optimization and efficiency in all you do and challenge the status quo for the team’s processes'.
• Contribute to the planning & execution of Insights Services growth within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 4+ years of experience in a Senior Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have strong business acumen and a business-first approach to problems.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Thrive on uncovering synergies and efficiencies in your work, the work of the team, and beyond.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people.
• You are fluent in English.

Nice to have, but not required

• Data science experience (e.g. experimentation, predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.

Responsibilities:

• Analyst and evaluate operation need and user requirements across Business Unit and departments
• Manage project planning, solution and ensure the right implementation of IT solution to meet the operational requirements
• Perform statistical analysis, data mining and pattern recognition to uncover trends, correlations, insights and create clear visualizations
• Project development to improve operational productivity & efficiency by adopting digital transformation tools
• Partner with stakeholders to define data requirements and collect the relevant date
• Provide well-structured data for further analysis

Requirements:

• Degree in Information Technology, Computer Science or a related field
• At least 2 years of relevant experience in Digital Transformation, implementation of IT solutions.
• Possessing strong knowledge in various digital transformation knowledge & automation tools, such Microsoft Power Platform, SharePoint, PowerBI, MS SQL, Knime, Python, cloud platforms
• Strong communication and good interpersonal skills
• Highly motivated individual who works independently with little supervision

To apply, please visit www.gmprecruit.com and search for Job Reference: 25041
To learn more about this opportunity, please contact Yingying at [email protected]
We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

If you're equally passionate about nurturing talent and building cutting-edge data platforms, you could be the Data Engineering Manager that we’re looking for! Our organization is committed to fostering a world-class, data-driven culture, and a key component of this endeavor is a high-performance platform that empowers our embedded analysts and fuels our engineered systems with timely and accurate data.

As the Data Engineering Manager, you will not only oversee and guide a team of data engineers, but also actively contribute by working on our cloud-native data platform. Your responsibilities will involve processing vast volumes of data to support both machine-driven and human-driven decision-making processes.

What you’ll be doing (Role responsibilities)

Our data platform acts as a central nexus to connect various data producers with consumers across the company. Our customers are:

• Engineering teams across the company that produce or consume data that need to be combined with other data sources, and
• Data analysts and scientists working on stream-aligned projects across the company

As a Data Engineering Manager, you will:

• Be a people-manager for a team of data engineers and analytics engineers, including
  • Coaching your team members in executing their tasks
  • Clearing technical and organizational blockers for them, and
  • Mentoring them on their own career goals and skill development
• Contribute to the hiring process and onboarding of your new team members to ensure they can hit the ground running.

As a senior team member in the Data Engineering Team, you will:

• Architect, build, and maintain a data platform that enables engineers and analysts across the company to ingest, anonymize, and enrich data
• Use your analytics engineering skills to deliver quality, timely, and fit-for-purpose analytical datasets that power downstream applications and decision making
• Liaise with our internal customers to understand their needs and convert them to technical requirements
• Leverage your high-level overview to proactively mitigate risks and expediently resolve blockers
• Provide tools, training, and coordination to stakeholders across the organization

Role requirements

We seek candidates with most, or at least some, of the following skills and experience:

• 5+ years’ experience in data engineering / analytics engineering, with at least 2 years of experience leading and managing a team of at least two people. This includes conducting performance reviews, conducting regular 1:1 meetings, providing mentorship, and creating career development plans.
• Strong experience in analytics engineering, including designing, implementing, and maintaining data models for large-scale data warehouses.
• Strong experience with SQL, Python, and hand-on experience with business intelligence tools such as Tableau or Power BI.
• Proven track record designing and constructing robust and testable data pipelines. Hands-on experience building and operating data applications within cloud environments, particularly AWS.
• Strong knowledge and adherence to software engineering best practices, including version control systems and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent written and verbal communication skills in English, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Some nice-to-haves are:

• Experience with tools like Apache Airflow and dbt for managing and orchestrating data workflows efficiently.
• Experience in infrastructure-as-code tools like Terraform.
• Understanding of data privacy and security and how they are implemented in engineering systems.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Responsibilities:

Responsible for supporting the operation and maintenance of the M&E Services (e.g power, cooling, space and asset inventory) within the Data Center in a 24/7 mission critical environment for two sites.

• Provide leadership and guidance to teams and responsible for the performance of the team and delivery of Service Level Agreement
• Oversee the day-to-day operation and manage a team of engineers and to be on standby with 24/7 on-call emergency response and availability.
• Maintaining M&E Services infrastructure and coordinating with vendors.
• Manage and plan for MEP preventive, corrective, and predictive maintenance.
• Manage and plan for annual shutdown.
• Manage expenses and P&L.
• Prepare monthly reports and conducts meetings
• Manage contractors and projects.
• Manage client enquiries and requests.
• To obtain and maintain management system certifications, including but not limited ISO 9001 Quality Management Systems, ISO 14001 Environmental Management Systems, ISO 27001 Information Security Management, ISO 45001 Occupational Health and Safety Management Systems and bizSAFE Star certification within 2 years from Commencement Date.
• To review and approve maintenance master plan for planned preventive maintenance, cyclical parts replacement, major maintenance and overhaul works.
• To act as the 2nd level of escalation for ensuring that Employer's call for attendance to Incident is answered within the duration stipulated.
• To review, approve and submit Incident report with root cause analysis as stipulated under Schedule 8 within the duration stipulated.
• To review the quality of documentation submitted for raising Request For Change.
• To review, approve and submit quotations for corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• To review turnaround time and quality of corrective maintenance, Additions & Alterations and ad-hoc works as requested.
• Perform any other adhoc duties.

Requirements:

• Minimum 8 years data center facilities experience.
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System.
• Good customer management and communication skills.
• Responsible and accountable for profit and loss of the sites.
• Work independently with minimum of supervision.
• Strong written and verbal communication skills; must communicate effectively and in a professional manner.
• Plans and tracks preventive maintenance plan, cyclical maintenance plan and other related events closely.
• Analytical and problem-solving skills.
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting.
• Proficient in Microsoft Office.

About Ampol Trading & Shipping

Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.

We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.

About the role

This position will be responsible for working with large and disparate data sets, internal and external, quantitative, and qualitative, structured and unstructured to support the management of data across the entire data lifecycle. This role requires a combination of technical expertise, leadership skills and strong focus on data governance practices to ensure the successful delivery of the Data Product Roadmap.

The data engineer brings expert understanding of data and modern data processing technologies to prepare and deliver data assets which support high priority projects.

This position is a part of theData Product Team, which is responsible to delivering on the prioritised T&S Data roadmap to meet strategic objectives. aligned to the Trading & Shipping organisation.

Key responsibilities

• Working with the key stakeholders to define data requirements for projects

• Perform data acquisition/ingestion from internal and external sources, including both structured and unstructured data sources (incl. multi-dimension data, text/documents, geospatial data and graph)

• Performing descriptive analytics and data visualisation to share data insights or validate data with stakeholders. Prepare data quality reports

• Develop data transformations and modelling to prepare data sets for consumption for various end uses including reporting or advanced analytics.

• Develop and maintain productionised data outputs/products to support ongoing uses

• Working in a highly agile and flexible environment to deliver outputs in short time frames

• Document technical specifications of data pipelines and technical products delivered

• Develop working understanding of Ampol systems, data, and uses, as a data SME

• Data Strategy and Planning- Continuously develop and enhance Ampol data strategy and architecture and roadmap to ensure alignment to business requirements and overall company vision.

• Data Exploration and Analysis- Explore data to identify patterns, trends and insights. Perform quantitative and qualitative analysis to answer specific business questions and to gain a deeper understanding of data.

• Data Pipeline Development- Build and maintain data pipelines to move and transform data from various sources into Snowflake with assurance that data ingestion is reliable, scalable and optimized for performance.

• Data Modelling and Design- With requirements from business, design and implement data models within Snowflake, including schema design, table structures and data partitioning to support high performance, low latency querying and analytics.

• Data Quality and Integrity- Enforce data quality checks and validation during data ingestion process to ensure accuracy and integrity of data in Snowflake.

• Support Continuous Improvement in Data Product- Support the Commercial Analytics in advancing continuous improvement in the data space, including team engagement to generate awareness of initiatives and track progress.

• Monitoring and Maintenance- Proactively monitor data pipelines and the overall health of Snowflake data infrastructure to identify and resolve issues.

• Automation and Orchestration- Automate data workflows and orchestrate data processes to minimize manual intervention and improve operational efficiency.

• Collaboration with Data Users- Work closely with data analysts, data engineers, and business users to understand their data requirements and provide necessary data support.

Capabilities

• Big Data Engineering – familiarity in designing and developing data processes on cloud based big data platforms

• Data Quality – experience in managing data quality controls to support the completeness and accuracy of data

• Strong understanding of data structures and designing conceptual, logical and physical data models

• Understanding of Information Management, Data Governance, Data Security and Privacy concepts (covered by respective Ampol policies)

Qualifications & experience

• Tertiary qualifications in Computer Science or similar.

• Qualifications or experience in mathematics or statistics highly regarded

• 2+ years of industry experience working as a data engineer to develop data products using SQL, Python, and Spark

• Data modelling experience including ETL

• Data quality management

• Experience with a range of Data platforms (Hadoop, Spark, SQL Databases)

• Experience performing descriptive analytics and developing data visualisation (Power BI, Tableau, Shiny, etc)

• Experience working to support advanced analytics products is desirable

Skills & Knowledge

• Expertise in SQL, Python, and Spark

• Experience with Snowflake (3–7 years) and data pipeline management

• Proficiency in data modeling, relational databases, and query optimization

• Strong understanding of git flow and version control systems

• Knowledge of data governance and data quality principles

• Effective communication and ability to collaborate with cross-functional teams

• Tertiary qualification in Data Analytics or related field

• Strong problem-solving skills and ability to deliver valuable data insights

• Ability to adapt to changing priorities and learn new technologies quickly

• Experience in downstream oil or petroleum trading (desirable)

• Familiarity with advanced analytics, machine learning, and big data technologies

• Working knowledge of Docker, Kubernetes, and noSQL technologies

• Self-motivated with a focus on continuous improvement and innovation

At Ampol, we’re committed to creating a workplace where everyone feels valued and respected. We embrace and celebrate diversity in all its forms, recognizing that it makes our organization stronger. We encourage applications from people of all ages, backgrounds, identities, and experiences. We invite you to bring your whole self to Ampol.

Want to take your career to the next level? Apply today. 

Eduquest International Institute is a Registered Training Provider by SkillsFuture Singapore (SSG) to offer high quality, industry-relevant skills-based training programmes leading to the Singapore Workforce Skills Qualifications (WSQ).

We provide ample opportunities for all our staff to upskill and reskill during their tenure with us.

We are looking for passionate trainers who can train and assess candidates in Data Visualisation Tools and Techniques, Including Emerging tool Google Data Studio

Requirements:

• Familiar with emerging Data Visualisation Tools and Techniques from a business analytics context.
• Able to train with effective presentation skills on insights and trends by organizing and consolidating graphs into dashboards. Examine insights with stakeholders and interpret analytics with subject matter experts by designing Interactive visualizations with dashboard control and parameters.
• Familiar with digital methods of learning, including Synchronous and Asynchronous e-learning and e-assessment
• Min 3 years experience in relevant field
• He/she should have a relevant polytechnic diploma or higher qualification (Minimum ICT polytechnic diploma or higher qualification in ICT)
• ACLP or ACTA is a must.
• Rate: per day basis

If you have what it takes to be an awesome trainer, please write to us!

Our client is actively searching for a Manager/Asst Manager, Data eXchange Unit to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement hospital's Data Strategy to enable data exploitation for meaningful and insightful decision making.
• Develop, review and update hospital's data-related policies to ensure alignment with Ministry of Health’s (MOH) and National Healthcare Group’s (NHG) data policies (e.g., MOH’s HealthTech Instruction Manual - Data Management (HIM-DM) and NHG Data Access & Sharing Policy).
• Oversee the management and maintenance of Platform for one-stop request in hospital (PorT) to facilitate data requests by hospital and NHG staff. Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other NHG institutions’ DXOs and external parties for data request as well as to contribute to NHG’s analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal (e.g. tracking and maintaining registries of data access, monitoring of data handling and disposal processes).
• Collaborate with relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms such as Oracle OBIEE/OAS, SharePoint, NGEMR, etc.
• Oversee the secretariat support for departmental and hospital working committees to support hospital’s digital transformation agenda and build communities of practice to share knowledge and best practices (e.g. Data Management Working Committee (DMWC) and Artificial Intelligence and Data Analytics (AiDA) Digital Innovation Technologies (DIT) committee).
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

The ideal candidate will need to have the following qualities and experience:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy as a strong advantage
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.
• Familiarity with public healthcare operations with working knowledge of data management, handling, and governance, and the regulatory requirements pertaining to the usage and sharing of data will be an added advantage

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.