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 Operations Data Analyst, you will:

• Act as a strategic partner in Product Operations to grow the extent of data-driven planning and decision making. Product Operations watches over our service platforms and infrastructure, ensuring our services are working reliably and seamlessly for our customers.
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to our cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboards.
• Collaborate with Data Engineers and Analytics Engineers to define requirements and standards for data pipelines and transformations, aligning with broader requirements.
• Drive quality and consistency, setting solid standards for the team

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 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 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.
• Proficient with querying languages such as SQL, and visualization tools such as Tableau/Power BI
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people.

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.
• Understanding of operational metrics such as connection statistics, server telemetry, bandwidth utilization, and more
• Experience with Operations Monitoring tools such as Grafana, InfluxDB

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

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.

Data Scientist to address immediate project needs and align to our broader strategy of developing a skilled, adaptive, and future-ready workforce. This role focuses on developing our data capabilities, supporting current and future organisational goals.

Job Role:

Support for Ongoing Projects: Assist in data collection, analysis, and preliminary insights to support project timelines and maintain momentum on strategic initiatives.

Scalability of Data Operations To handle routine tasks like data preprocessing, exploratory analysis, and report generation, freeing up senior team members to focus on more complex data modelling and strategic decision-making.

Skill Development and Knowledge Transfer: Promote a learning culture by supporting talent development through mentorship, enabling skill acquisition for apprentices and fostering knowledge transfer within the team.

Adaptation to Emerging Trends: Leverage apprentices' training in the latest data science techniques to drive innovation, introducing fresh ideas aligned with emerging trends in AI, machine learning, and predictive analytics.

Key Responsibilities:

Data Analysis and Modeling

• Collect, clean, and preprocess large sets of structured and unstructured data from various sources (e.g., user behavior, educational content, performance assessments).
• Apply statistical analysis, machine learning, and predictive modeling techniques to derive insights that enhance educational solutions.
• Develop and refine recommendation systems, predictive models for student performance, and personalized learning pathways.
• Collaborate with stakeholders to design experiments (A/B testing) and analyze the impact of interventions.

Data Visualization

• Create compelling visualizations to communicate findings to technical and non-technical stakeholders, including educators, product managers, and executives.
• Use data storytelling to drive decision-making and improve user engagement.

Collaboration and Communication

• Work with product, engineering, and UX teams to integrate data-driven insights into the development of learning tools and applications.
• Present data findings to internal teams and clients to showcase the impact of data-driven decisions.

Algorithm Development

• Design and improve algorithms that personalize learning content and optimize student outcomes based on user interaction and performance data.
• Continuously refine data collection and processing techniques for improved accuracy and usability.

Note: This is a 6 months attachment with potential for conversion to full time.

Detailed JD (Roles and Responsibilities)

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency
• Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Mandatory skills

• BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
• 2-4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Desired/ Secondary skills

• Experience building/applying statistical and/or machine learning solutions to solve business problems
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
• Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
• Strong verbal and written communication skills with ability to articulate results of analysis in business terms
• Confirmed ability to conduct complex, data driven analysis
• Ability to work independently and collaboratively in a fast-paced environment
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis

Domain

eCommerce / Retail / SAP

Requirements

• Minimum of 6 years of hands-on experience in Data Engineering, Data Analytics, and BI reporting.
• Proven expertise in Tableau, Power BI, Spark, Scala, Python, API and large-scale data environments.
• Experience across industries such as banking, insurance, and trading.
• At least 3 years of relevant experience in banking/financial services industry
• Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.
• Strong SQL, Python, Java and Unix shell scripting
• Incident, problem, and service Outage management experience is Plus.
• Good Communication and Articulation Skills
• Strong in data engineering concepts and programming
• Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Experience in supporting data transformation, data structures, metadata, dependency and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience with Cloud Data Warehouses like AWS Redshift or Snowflake.
• Familiarity with Kubernetes and containerized environments.
• Exposure to Machine Learning (ML) models and integrating them into data reporting pipelines.
• Primary Skills:
  • Tableau: Expertise in Tableau Desktop, Tableau Server, creating custom calculations, dashboards, and reports.
  • Big Data Technologies: Spark, Hadoop, Kafka, Databricks.
  • Programming: Python, Java (Core), Scala (for Spark).
  • BI Tools: Power BI, MicroStrategy, Alteryx, Tableau Prep.
  • SQL & Databases: SQL Server, MySQL, Oracle, Redshift, Hive, MariaDB, SAP NetWeaver.

Responsibilities

• Provide operational support and ensure SLI of Applications
• Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA
• Proactively Identify and Identify opportunities for preventive Maintenance
• Perform Administration & Optimization to achieve of Optimal System Performance
• Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards
• Recommend Design and Operational Optimizations
• Respond on time to the queries raised by various business units
• Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders
• Work with Project/Enhancement Teams to Review, Transition for Run Team
• Participate in Disaster Recovery and Business Continuity exercises
• Support relevant software/platform/database upgrade for the systems
• Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications
• Support data APIs, data science ML applications running on Kubernetes platform

Interested candidate please click "APPLY". We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

This is in partnership with 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 e2i’s PDPA.

PERSOLKELLY Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394• Reg. EA Registration No. R1768000 (Nguyen Quynh Nhu)

• Working together with a managment team to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Provide and assist with daily operational tasks and system support.
• Assist and support sales team on current and potential clients.

About the company

CGS International Securities Pte. Ltd. (CGS International) is an award-winning and market leading integrated financial services provider, ranked among the top securities houses in Asia.

CGS International taps on our wealth of global and ASEAN insights to offer equities trading, leveraged products, wealth management, investment banking, equities research, Shariah-compliant financing, fixed income, currency and commodities, structured products and prime brokerage services in over 15 countries and regions.

Along with its parent organisation China Galaxy Securities, a leading securities house in China, CGS International is trusted by more than 15 million customers globally.

Job Description

1) Data Protection and Privacy:

- Develop, implement, and maintain data protection policies and procedures in accordance with legal requirements and industry best practices.

- Ensure compliance with data protection laws and regulations, such as GDPR, CCPA, and other applicable frameworks.

- Conduct regular audits and assessments to identify potential risks and vulnerabilities in data protection processes.

2) Data Governance:

- Collaborate with the Data Governance team to establish data management policies that align with organizational goals.

- Support the development and maintenance of a data governance framework, including data standards, policies, and procedures.

- Work to improve data quality and integrity across the organization.

3) Risk Management:

- Identify and assess data protection risks and develop mitigation strategies.

- Manage data breach incidents, including investigation, response, and reporting.

4) Training and Awareness:

- Develop and deliver training programs to educate employees on data protection and privacy best practices.

- Foster a culture of data protection awareness throughout the organization.

5) Stakeholder Collaboration:

- Act as a point of contact for data protection queries and issues within the organization.

- Collaborate with IT, legal, compliance, and other relevant departments to ensure cohesive data protection strategies.

6) Reporting and Documentation:

- Prepare and present reports on data protection activities, risks, and compliance status to senior management.

Maintain comprehensive documentation of data protection policies, procedures, and compliance efforts.

Job Requirements

• Bachelor’s degree in information technology, Law, Business Administration, or a related field.
• Strong knowledge of data protection regulations, excellent communication skills, and experience with data management tools
• Certified Information Privacy Professional (CIPP) or similar certification is preferred.
• Preferably has experience working with cross-geographical teams
• 3-5 years in data protection, privacy, or a related field.
• Proactive
• Keen to learn
• Has an eye for detail
• Willing to share and collaborate

AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.

This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities

• Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
• Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS
• Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

• Bachelor's Degree or equivalent experience in STEM.
• 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).
• Ability to think strategically about business, solutions and technical challenges.
• A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities

Preferred qualifications

• 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
• Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
• AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
• Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
• Advanced degree desired (e.g., MBA, MS)

Azure Data Engineer – Contract 1 Year with option to extend for 1+1 Year

Roles & Responsibilities

Business Understanding

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users

Azure Data Engineering

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

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;

Data Ingestion & Modelling

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.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience

Looking for somewhere fun, supportive where you can grow, develop and make a impact? Well, check us out!

We are a leading marketing and sales company in S.E.A, that works with both national and international MNCs, to help them boost their brand awareness and market shares.

What we do:

• Increase brand awareness and market share of our client
• Develop your communication skills
• Build your leadership capabilities

Benefits:

• Travelling opportunities to different markets eg Taiwan, Hong Kong, US, Australia, KL (based on performance)
• 1 to 1 mentorship and guidance
• Personal development workshops

Who we are looking for:

• Hardworking individuals
• Great learning attitude

Are you the one we are looking for? Apply now to get started!

Benefit:

➡️ Gross up to $4000

➡️ Bonus, Leave, Allowance

Job Scope:

• Prepare individuals for leadership roles within an organization.
• Focusing on gaining practical experience, knowledge, and skills through a structured training program.
• Often paired with a mentor or supervisor who provides guidance and feedback.
• Participates in training modules covering management principles, company policies, and industry-specific knowledge.
• Works closely with colleagues to understand team dynamics and foster collaboration skills.
• Develops problem-solving skills and learns to make decisions that align with the company's goals.
• Enhances communication skills, both written and verbal, to effectively interact with teams, superiors, and clients.
• Learns to adapt to changing business environments and industry trends.
• Successful management trainees are candidates for promotion to management positions within the company.
• Provides a stepping stone for future career opportunities within the organization.

Requirement

• Relevant Nitec / Diploma qualifications
• Often considered an entry-level position for college graduates or those with minimal professional experience.

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

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Lee Cheng Yin (Gina) (R22104523)

EA License No: 20C0358

Location: East

Mon to Fri 9am to 6pm

Salary: $2500 to $3300 depends on experience

Work life balance-Go back home on time

Training provided

Job Description

• Supporting role for Sales team.
• Processing purchase orders and expediting delivery schedules
• Interact, engage and/or respond directly to customers’ needs & requirements.
• Occasionally required to visit valued customers along with our sales persons to co-address critical business related issues such as ordering management, forecasting, pricing and so forth.

Requirements

• Able to communicate in both Mandarin and English fluently to liaise with customers
• Cheerful personality
• Able to start work immediately
• Fresh/Entry level welcome as training provided

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Our company is expanding looking for like-minded and driven individuals, to grow and achieve greater heights together! We represent international clients to provide them with effective sales and marketing strategies to boost clients’ sales revenue and brand awareness.

Responsibilities

- Drive customer acquisition through events/roadshow

- Ensure smooth operations in events/roadshow

- Team strategic thinking to meet clients expectations

What we offer

- 1-to-1 mentorship (no experience are welcome)

- Teamwork and fun environment

- Career advancement opportunities

- Personal development opportunities

Great things are never done by one person, they’re done by a team -Steve Jobs

Join us to be part of the growing team!

Our client is from Construction industry. Due to their current expansion plan, they are looking for a HR Officer - Recruitment to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Support recruitment activities, including posting job advertisements, candidates screening, and interview arrangement.
• Manage the onboarding and offboarding processes.
• Organize and oversee training and development programs.
• Handle payroll processing.
• Manage applications, renewals, and cancellations of work passes.
• Handle general matters, including updating residential addresses, managing levy waivers, medical check-ups for new hires, etc
• Conduct market surveys for MOM, IRAS, CPF, WDA, and other HR-related studies.
• All other adhoc duties as assigned.

Requirements

• Minimum NITEC in HR Manager/ Business Administration or equivalent.
• Min 2 years relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Responsibilites

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

Requirement

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
  Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
  Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

Responsibilities

* Main: Understand and help plan/guide/implement the migration of reporting/analysis use-cases from Essbase cubes to other tools (Tableau etc)

* Secondary: Review/optimize/consolidate datasets needed by end-users to encourage reusability through standardization and optimized performance

Skills

* Extensive experience in Business/Finance Analysis and Business Intelligence concepts

* Strong hands-on experience in SQL and SQL/resource optimization

* Strong hands-on experience in Tableau datasource and dashboard development/optimizations.

✨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

• Innovative Tech: Work with advanced lab equipment and cutting-edge solution
• Career Growth: Opportunities for skill development and professional advancement

About Our Client

Client is a leading provider of laboratory equipment and solutions, specializing in a wide range of scientific instruments, tools, and services for research, testing, and analysis. It serves industries such as pharmaceuticals, biotechnology, life sciences, and academia, offering high-quality products designed to support scientific innovation and advancement.

Job Description

1. ERP Implementation & Management: Lead large ERP projects (SAP, Oracle) and manage the transition to new systems. Oversee integration of ERP solutions across business functions, ensuring smooth migration and alignment with central business objectives.
2. Data Architect: Oversee data collection for analysis and design data architectures, including building data warehouses and managing data leakage prevention. Lead data-driven initiatives and ensure secure, structured data flows.
3. Cloud Migration: Lead the migration to Azure (Microsoft-centric but flexible), ensuring seamless integration and scalability of cloud solutions.
4. IT Roadmap & Budgeting: Develop and manage IT roadmaps, aligning with business goals, and oversee IT budgets to ensure cost-effectiveness and resource allocation.

Soft Skills: Must be hands-on, proactive in driving projects, and skilled in setting up meetings, timelines, and IT initiatives. Strong attention to detail.

The Successful Applicant

This candidate should be someone who can effectively manage both the technical and operational aspects of IT, lead teams, and drive major projects to completion while aligning technology with business outcomes with following tech skills:

• ERP Expertise: Proven experience leading large ERP implementations (SAP, Oracle) and integrations.
• Data Architecture Skills: Strong background in building data warehouses and managing data flows.
• Cloud Migration: Hands-on experience with Microsoft Azure migration projects.

What's on Offer

Opportunities for professional development and advancement within a dynamic, innovative environment with Cutting-Edge Technology.

Contact

Miao Xia Neo (Lic No: R21103441/ EA no: 18C9065)

Quote job ref

JN-112024-6598651

Phone number

+65 6416 9828

Michael Page International Pte Ltd | Registration No. 199804751N

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

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

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

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

• The client is a global leader in cloud computing and artificial intelligence
• Competitive compensation package in the market

About Our Client

Join a global leader in cloud computing and AI innovation, known for empowering businesses with cutting-edge technologies and scalable solutions. This organization drives digital transformation across industries, offering an unparalleled platform to work on impactful projects, collaborate with top-tier talent, and shape the future of data-driven solutions.

Job Description

• Collaborate with customers to design and implement big data and AI solutions on the cloud.
• Drive innovation by delivering tailored architectures and supporting data-driven digital transformations.
• Support pre-sales and post-sales efforts, including POCs, technical presentations, and solution governance.
• Analyze market trends, identify opportunities, develop competitive solutions, and manage risks.
• Provide training, best practices, and product feedback to enhance solution delivery and innovation.

The Successful Applicant

• At least 5 years of experience in big data, AI, and cloud technologies, with hands-on experience in cloud platforms (Alibaba Cloud, AWS, Azure, GCP).
• Strong technical expertise in big data frameworks (e.g., Hadoop, Spark, Flink) and data analytics.
• Proven experience in pre-sales and post-sales engagements, driving customer solutions.
• Excellent communication skills and the ability to engage with key stakeholders, including C-level executives.
• Ability to collaborate within cross-functional teams and influence product development.
• Strong problem-solving skills, innovation, and technical leadership capabilities.
• Experience in delivering customized cloud solutions and managing solution implementation risks.

What's on Offer

• Competitive Salary & Performance-Based Bonuses: Attractive compensation package with the opportunity to earn performance bonuses based on individual and team success.
• Comprehensive Benefits: Health insurance, retirement plans, and other employee wellness benefits.
• Training & Development: Access to continuous professional development and training programs, including certifications in cloud technologies and data-driven solutions.
• Career Growth: Opportunities for career progression within a globally recognized leader in cloud computing and AI.
• Innovative Environment: Work on cutting-edge cloud technologies and high-impact projects in big data and AI across industries such as fintech, retail, and telecom.
• Collaborative Work Culture: Be part of a dynamic, innovative team with a focus on cross-functional collaboration and technical excellence.

Contact

Lydia Chen (Lic No: R22108104 / EA no: 18C9065)

Quote job ref

JN-112024-6600026

Phone number

+65 6416 9829

Page Personnel Recruitment Pte. Ltd.| Registration No. 201736642C

What the products are

We are seeking a Software Engineer to join our Data and Artificial Intelligence Platforms (DAIP) team.

What the role is

As a software engineer, you will:

• Build end-to-end data analytics and AI products/platforms with your team
• Design system architectures
• Write production quality code
• Manage deployments to cloud and (occasionally) on-premise infrastructure
• Build prototypes to demonstrate technology opportunities
• Learn and share knowledge in a multi-disciplinary team
• Establish best practices
• Share your expertise and mentor other engineers
• Help with recruiting.

What we are looking for

We work mostly in Python, JavaScript and Scala. We are looking for proficiency in at least one language and the ability to learn. Strong passion in software engineering is what matters to us.

We look for people who:

• 3+ years full stack software engineering experience in building scalable products
• Experience with ETL and implementing efficient data pipelines
• Exposure to cloud or on-prem production environment, and experience in deployment
• Understanding of devops, CI/CD
• Have a demonstrated ability in writing efficient code and building software
• Can write code to solve abstract problems and think critically on how to get the code correct and cover the edge cases
• Can talk and reason about code with other engineers
• Have an interest in data science and machine learning
• Take the initiative to make things happen
• Want to work for the public good

DC Environment Support

• Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers.
• Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);
• Cooling Infrastructure (such as computer room air-conditioning units);
• Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);
• Environment monitoring system (such as humidity and temperature); and
• Water leakage detection.
• Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.
• The Vendor shall inform the Customer within one (1) hour when problems are detected.
• Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

• Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.
• Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.
• Shall ensure the network cabling in the data centre and within the racks are neat and tidy.
• Shall 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.
• Shall 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.
• Shall obtain the Customer’s approval before finalizing the plan for any activity.
• Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.
• Shall maintain up-to-date documentation of the data centre design layouts.
• Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.
• Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer

Requirements:

• Preferably Three (3) years of working experience in Data Centre Engineer Operations experience
• ITIL v4 Foundation Certification or equivalent