Total 564 data entry job vacancies in Singapore

We are seeking a proactive and technically strong Cloud Engineers with hands-on experience in designing, deploying, and managing cloud infrastructure. The ideal candidate should have solid knowledge of cloud platforms (AWS, Azure, or GCP), networking fundamentals, virtualization, and security best practices.

Key Responsibilities

• Design, implement, and manage cloud infrastructure solutions across public and hybrid cloud environments (e.g., AWS, Azure, GCP).
• Plan, execute, monitor, and deliver cloud migration, deployment, and infrastructure upgrade projects.
• Provision and maintain cloud resources using Infrastructure as Code (IaC) tools.
• Ensure high availability, scalability, security, and performance of cloud-based systems.
• Monitor cloud environments and ensure compliance with contractual Service Level Agreements (SLAs).
• Perform routine maintenance, patching, backup management, and disaster recovery planning.
• Implement and manage virtual networks, VPNs, firewalls, and security configurations in cloud environments.
• Collaborate with DevOps and application teams to support CI/CD pipelines and containerized workloads.
• Troubleshoot, diagnose, and resolve cloud infrastructure and network-related issues.
• Prepare technical documentation, architecture diagrams, and project reports.

Job Requirements

• Strong knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with virtualization, hypervisors, and cloud-native services.
• Hands-on experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, ARM).
• Familiarity with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of networking concepts including VPC, VPN, firewalls, load balancers, and routing.
• Understanding of security best practices in cloud infrastructure.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Responsibilities

·       Design and develop the architecture of the company’s data platform

·       Continuously deliver data value to various business units with high quality, low cost, and high efficiency

·       Provide solutions for platform architecture and performance optimization, and lead the rapid iteration of the big data platform

·       Empower the company’s business growth through data-driven capabilities, continuously enhancing the company’s core competitiveness

Requirements

·       Bachelor’s degree or above in Computer Science or related fields, with 3+ years of Java development experience; proficient in Java with an in-depth understanding of JVM internals

·       Familiar with common frameworks (Spring, Spring MVC, gRPC, MyBatis) and able to understand their underlying principles and mechanisms

·       Solid computer science fundamentals, including operating systems, network architecture, algorithms, data structures, and common design patterns

·       Familiar with distributed systems, caching, and messaging mechanisms; experience with Redis, Kafka, Spark, Flink, Zookeeper, or TiDB is preferred

·       Experience with data platforms or microservices design and development, with an understanding of high availability and scalability, is a plus

·       Experience with tagging systems or recommendation algorithm systems is a plus

·       Passionate and enthusiastic about the blockchain industry, with a strong desire to contribute to its development

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd, 20 Cecil Street, #08-09 PLUS Building, Singapore 049705

 Tel: 69509748

http://www.peopleprofilers.com

debbie@peopleprofilers.com

Consultant in charge: So Boon Shyen, Debbie

EA Licence Number: 02C4944

Registration Number: R1111376

Data & AI Analyst

We are seeking a Data & AI Analyst to support data-driven decision-making across our product distribution business. This role will focus on sales analytics, inventory optimization, customer insights, and AI-driven forecasting to improve operational efficiency and commercial performance.

You will work closely with sales, operations, procurement, and management to turn data into actionable insights and implement simple AI-driven solutions suitable for an SME environment.

Key Responsibilities

1. Data Analysis & Reporting

• Collect, clean, and analyze data from: Sales systems (POS, distributor orders) Inventory / warehouse systems, Customer and retailer databases
• Build dashboards and reports (e.g., Excel, Power BI, Google Data Studio)
• Track key metrics

2. Inventory & Demand Planning

• Analyze sales trends to forecast demand by SKU and location
• Optimize stock levels to reduce: Overstock / expiry issues (critical for pet food) Stockouts for high-demand products
• Support purchase planning and replenishment cycles

3. AI & Automation Initiatives

• Apply simple AI / machine learning models for: Demand forecasting Customer segmentation Product recommendation trends
• Automate repetitive reporting processes
• Explore AI tools (e.g., Copilot, ChatGPT, AutoML platforms) for productivity

4. Commercial & Customer Insights

• Analyze: Best-selling vs slow-moving products Channel performance (retail vs grocery vs pet shops) Pricing and promotion effectiveness
• Identify opportunities for: Product bundling Cross-selling (e.g., food + accessories) New market expansion

5. Distribution & Operations Analytics

• Monitor delivery performance and logistics efficiency
• Identify route or distribution inefficiencies
• Analyze order fulfillment accuracy and timing

6. Data Strategy & Governance

• Improve data quality and consistency across systems
• Create standardized data definitions and reporting structures
• Build a central data repository.

Job Description

• Industry/ Organization Type: Information Technology Consulting
• Position Title: Product Manager (Esp Data & AI Platform)
• Working Location: Pasir Panjang
• Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
• Salary Package: Basic Salary + Completion Bonus
• Duration: 1 year contract (renewable)

Key Responsibilities

• Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
• Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
• Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
• Translate product strategy into clear requirements, user stories, and acceptance criteria.
• Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
• Prioritise and maintain the product backlog to deliver high-impact data and AI features.
• Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
• Plan and support product launches, monitor performance, and improve based on results.
• Define success metrics, data requirements, and reporting methods to track outcomes.
• Work with data owners to ensure data quality, governance, access control, and proper usage.
• Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
• Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
• Any ad hoc duties assigned

APPLY NOW!!!

• Minimum 7 years of experience in product management.
• Strong analytical skills and ability to use data for decision-making.
• Experience working with cross-functional teams and aligning stakeholders.
• Experience managing product lifecycle and go-to-market activities.
• Good technical understanding to work with engineering teams on requirements and constraints.
• Strong communication and stakeholder management skills.
• Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
• Experience with data or AI-related products, including understanding risks and implementation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83248 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 seeking an experienced Senior Data Architect / Lead Data Engineer to lead enterprise data transformation initiatives, modern data platform development, and cloud-based analytics solutions. The ideal candidate will possess deep expertise in Data Architecture, Data Warehousing, Cloud Data Platforms, ETL/ELT development, Data Governance, and Analytics Enablement.

The candidate will work closely with business stakeholders, data analysts, architects, and engineering teams to design scalable and secure data ecosystems that support reporting, advanced analytics, AI/ML, and regulatory requirements.

Key Responsibilities:

• Design and implement enterprise-scale Data Warehouse and Data Lake solutions.

• Architect modern cloud-based data platforms using Snowflake, Azure Synapse, Databricks, and Delta Lake.

• Develop scalable ETL/ELT pipelines using Talend, Informatica, Azure Data Factory, and Python.

• Establish Medallion Architecture (Bronze, Silver, Gold) and curated semantic layers.

• Lead data modeling activities including conceptual, logical, and physical data models.

• Define and implement Data Governance, Metadata Management, Lineage, and Data Quality frameworks.

• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

• Design data solutions supporting Business Intelligence, Advanced Analytics, and AI/ML initiatives.

• Ensure compliance with regulatory and security requirements.

• Conduct architecture reviews, performance tuning, and technical mentoring for engineering teams.

• Support cloud migration and enterprise data modernization programs.

Job Description:

This role is ideal for individuals seeking real-world exposure in sales, marketing, and leadership development. You will be trained to execute campaigns and grow with the company based on performance.

Key Responsibilities:

• Support marketing and customer acquisition campaigns
• Represent brands at events and outreach activities
• Build communication and people-management skills
• Work closely with team leaders to achieve targets

Who Should Apply:
• Individuals who are goal-driven and performance-oriented
• No prior experience required

Benefits:

• Performance-based rewards
• Clear career advancement opportunities
• Ongoing coaching and leadership development