Total 1,212 data entry job vacancies in Information Technology category in Australia

Work location : Pasir Panjang Wholesale Market
Working Hours : 6pm to 3am, as long as finished keying in can go back earlier sometimes 2am or earlier.

4 off days a month (self arrange with boss prior approval, can be all 4 days together or 4 separate days anytime within a month etc,). If you choose to work on off days, Extra Duty allowance will be provided.

Responsibilities:

Data Entry clerk / Customer Service

Key in order by buyer into system
Able to read the order in Mandarin, and type mandarin characters for other picker/packer to pick up correct order
Support customers query regarding orders or directly take order over phone.

Requirements:
Preferably familiar with type of vegetable

Able to communicate with Mandarin speaking customers professionally regarding orders / take orders

Basic Computer knowledge

Salary : Basic SGD 2200, after probation review salary with good performance.

About STT GDC

Be part of a global leader in data centre solutions

ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, Italy, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.

Why STT GDC

STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.

✨ Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.

Job Summary

We would like to invite an independent and self-motivated individual who has keen interest in contributing to the growth of a trusted and innovative environment for Singapore’s data economy and society, and the enhancement of Singapore’s international standing as a trusted data hub to join the Data Innovation & Protection Group (DIPG).

Mandatory Skill-set

• 5+ years in a senior technical role (e.g., Solution Architect, Security Researcher, Privacy Engineer, or Digital Forensic Lead);
• Background in Computer Science, Computer Engineering, or a related field;
• A builder’s mentality - you are driven by technical curiosity and the desire to build a compliant-by-design future for Singapore;
• Keen interest to self-learn and keep up to date with development of data-driven technologies and impact of these technologies on industry and consumers;
• Ability to translate complex engineering, technical concepts and frameworks to a non-technical audience;
• Excellent problem-solving, analytical, and decision-making abilities;
• Certifications: Advanced technical certifications (e.g., CSPO, CHFI, SANS Cybersecurity, CIPT, CDPSE) are highly regarded.

Desired Skill-set

• Strong expertise in data protection, privacy engineering, and cybersecurity frameworks (PDPA, GDPR, ISO 27001);
• Hands-on experience in digital forensics, data breach investigations, and root cause analysis;
• Proficiency in security tools and technologies (SIEM, EDR, vulnerability assessment tools like Qualys, CrowdStrike);
• Knowledge of emerging technologies such as AI, Machine Learning, and Quantum computing with risk assessment perspective;
• Experience in technical research, threat intelligence, and vulnerability analysis;
• Ability to design and develop prototypes / proof of concepts (POCs) for technology evaluation;
• Strong understanding of system architecture, cloud security, and enterprise IT environments;
• Excellent data analysis and problem-solving skills with attention to detail;
• Ability to translate complex technical findings into business and policy recommendations;
• Experience in stakeholder management, technical reporting, and presentations;
• Strong communication skills for advocacy, documentation, and global engagement;
• Familiarity with compliance, regulatory standards, and risk management practices.

Responsibilities

• Manage data breach investigations to identify system failures, technical negligence behind complex data failures;
• Distill and present findings and recommendations from complex digital forensic methods and systems to internal stakeholdersTech Intelligence and Innovation;
• Conduct research on vulnerabilities of existing systems and solutions;
• Assess and evaluate emerging technologies and frameworks (such as quantum and AI) to ensure high standards of safety and utility;
• Design and build functional prototypes for new utilities or technology assessmentsAdvocacy and Engagement:;
• Develop technical materials and guides to help organisations ensure new products and services remain compliant and up-to-date;
• Represent the organization in international and domestic technical forums;
• Translate deep engineering findings into strategic recommendations for senior leadership and global standards bodies.
  
  Should you be interested in this career opportunity, please send in your updated resume to sandhya.p@sciente.com at the earliest.
  
  When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website(https://www.sciente.com/privacy-policy).Confidentiality is assured, and only shortlisted candidates will be notified for interviews.EA Licence No. 07C5639

Responsibilities:

• Collaborate with cross-functional teams to gather business requirements
• Perform feature engineering using customer, product, digital, and behavioural data
• Design and build scalable AI models
• Evaluate AI model performance using technical and business metrics
• Design end-to-end model pipeline and conduct various tests to ensure robustness of solution
• Prepare model documentations and testing reports

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related fields.
• 3–5 years of experience in a data science or analytics role.
• Strong command of Python (especially for text analytics and data manipulation).
• Solid experience with SQL for querying large datasets.
• Familiar with machine learning libraries and GenAI.
• Ability to work with various types of data and derive meaningful insights.
• Strong communication skills and stakeholder management experience.

Responsibilities

• Leader in data engineering strategy, architecture, and implementation
• Mapping business data requirements into technical specifications and scalable solutions.
• Architecting and building ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Creating and implementing secure, cloud-based data infrastructure and access mechanisms.
• ETL systems and databases monitoring and optimization for performance, reliability, and scalability.
• Reusable data models construction
• Maintain data catalogues with metadata and lineage.
• Enforce data governance, quality, and security policies.
• Provide guidance for greenfield and brownfield implementations, from problem definition to solution design.
• Establish standards for assessments, discovery, and solutioning.
• Influence adoption of modern data and infrastructure practices.

Requirements

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Minimum 10 years of experience in data engineering, cloud infrastructure, or platform engineering.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Experience with Python, Java, Scala, and SQL.
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
• Experience with Databricks and implementing batch/real-time data pipelines.
• Exposure to CI/CD pipelines and infrastructure-as-code practices.
• Extensive knowledge of system design, data structures, algorithms, and data modeling.
• Extensive knowledge of data governance, security, and privacy (especially in public sector contexts).
• People manager with mentoring experience.

Ethos Search Associates Pte. Ltd.

EA License No: 13C6655

EA Reg No: R1988580 Jacky Chong

Job Summary

We are seeking a detail-oriented and proactive Data Provisioning & Platform Operations Analyst to support enterprise data platforms projects for a renowned bank. This role will work closely with business, technology, and data governance teams to ensure secure, compliant, and efficient data provisioning across multiple environments.

Mandatory Skill-set

• Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related discipline;
• Must have 0-2 years of experience in data operations, data provisioning, or data platform support, preferably within the banking or financial services industry;
• Must have hands on experience in SQL;
• Familiarity with big data technologies such as Hadoop, Spark, data lakes, and data warehouses;
• Strong understanding of data governance, data security, and access control frameworks;
• Must have Strong analytical thinking with attention to detail and a proactive problem-solving mindset;
• Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences;
• Self-motivated team player with strong sense of ownership, drive, and initiative;
• Ability to work independently under pressure and manage multiple priorities effectively.

Desired Skill-set

• Experience with scripting languages (e.g., Python, Shell) and data integration/movement tools;
• Experience in banking or financial services;
• Exposure to cloud platforms (AWS, Azure, or GCP);
• Knowledge of data lineage or data catalog tools.

Responsibilities

• Work with business teams to understand their data needs and provide the required datasets;
• Manage data provisioning processes across different systems and environments;
• Ensure all data movement follows the bank’s data governance and security policies;
• Monitor data usage to ensure accuracy, efficiency, and proper access;
• Set up access and environments for new users on the platform;
• Maintain clear documentation of data processes, data flow, and system setups;
• Troubleshoot and resolve data access or provisioning issues;
• Build good working relationships with business and technical stakeholders;
• Support users with questions on data access and availability.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA License No. 07C5639

Brief Summary:

Join a dynamic team focused on enhancing cybersecurity through data analytics. Leverage your analytical skills to uncover threats and support strategic decision-making in cyber operations.

Responsibilities:

• Analyze, correlate, interpret, and visualize data to identify trends and patterns.

• Formulate and test hypotheses for threat hunting initiatives.

• Produce actionable insights and evidence to inform decision-making processes.

• Compile and share intelligence with counterparts for timely intervention.

• Translate complex concepts and findings into reports and presentations for senior stakeholders.

Requirements:

• A degree in Computer Science, Computer Engineering, Mathematics, Statistics, Data Science and Analytics, or a related field.

• Familiarity with cybersecurity concepts and applications is essential.

• At least 3 years of experience in data transformation, interpretation, and quantitative data analysis.

• Knowledge of statistical techniques and concepts (e.g., regression, properties of distributions, statistical tests) and experience in their application.

• Proficient in using databases and big data analytics frameworks such as Hadoop, Hive, or Spark, with the ability to write complex SQL queries.

• Domain knowledge in Computer Networking, Network Security, or System Security is advantageous.

• A proactive learner with the ability to independently acquire knowledge in new domains or technologies quickly.

Interested candidate who wish to apply for the advertised position, please click “Apply”. We regret that only shortlisted candidates will be notified 

EA License No.: 01C4394 (PERSOL Singapore Pte Ltd) 

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL 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.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Responsibilities:

• Works with Solution Architect & Business Analysts on end-to-end solution, evaluate and develop high-quality data solutions.
• Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
• Works cooperatively with others to resolve data and process issues.
• Uses standard data modeling, data flow, and data documentation tools to analyze, document and present data analysis work.
• Plan & develop ETL, Data preparation/aggregation processes from various sources to MSSQL database/PostgreSQL DB
• Maintain, and optimize ETL and other ETL processes to adapt to changes in needs and requirements.
• Participate in MS SQL code reviews and provide guidance on best practices.
• Review new database schema changes.
• Familiar with T-SQL, stored procedures, functions, inline SQL, database structures
• Analyze existing SQL queries for performance improvements.
• Monitor code migration and database change management through various stages of the development cycle.
• Design & Develop procedures and scripts for data migration.
• Develop, implement, maintain policies and procedures, and document database architecture to ensure security and integrity of the databases.

Requirements:

• 5 to 8 years of T-SQL programming.
• 2 to 3 years of Informatica development experience.
• Experience with migration of Informatica PowerCenter to IDMC.
• Experience with performance tuning of sources, mappings, targets, and sessions.
• Experience with Data Architecture and Data Modeling concepts.
• Familiarity with Microsoft SQL Server/PostgreSQL DB.
• Knowledge of git Source Control. and Knowledge of CI/CD pipelines or deployment automation tools.
• Critical thinker and problem-solving skills.
• Team player.
• Good time management skills.
• Great interpersonal and communication skills.

• Job Description
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns.
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization.
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration.
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration.
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or Lakehouse architectures.
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques.
• Python: Strong Python programming skills for data processing and automation.
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Requirements:
• Must have experience in data engineering or related roles
• Hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional
• Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications.

Be part of a data-driven project delivering insights and analytics solutions. This role supports data analysis, reporting, and project coordination, offering hands-on experience in analytics and stakeholder collaboration.

Job Description

• Support project coordination, including tracking timelines, deliverables, and stakeholders.
• Assist in data collection, validation, and review to ensure accuracy and consistency.
• Consolidate data from multiple sources into structured formats.
• Create reports, charts, and dashboards using Excel to present insights.
• Support testing of data systems, dashboards, and enhancements.
• Work with stakeholders to ensure data solutions meet business needs.

Requirements:

• Singaporean Only.
• 2–3 years of experience in data analysis, research, or project coordination.
• Strong analytical skills and attention to detail.
• Proficient in Microsoft Excel (e.g. pivot tables, charts).
• Good communication and stakeholder management skills.
• Familiarity with Python or R is an advantage.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Ho Kah Yeow | R1879233

ScienTec Consulting Pte Ltd |11C5781

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 

Additional job description

Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

Google is transforming how hyper-scale data centers are planned, designed, and built from custom, stick-built, multi-year construction monoliths to manufactured, modular, just-in-time deployments of fungible capacity. The Product Development and Insertion (PDI) organization under Data Center Technology and Systems (DCTS) is the execution arm of the development of such fungible capacity. PDI, working alongside the different pillars within DCTS, drives and provides ownership of the various products and programs that will enable the future modular technology for Google Cloud.

Qualifications

Job responsibilities

• Execute scope for the cross-functional product development of new products and programs. Guide products through the product life cycle process.
• Work with the partner teams across data centers, with supply chain, construction and execution teams, hardware and software operations to help execute product insertions.
• Lead the Site Intercept process, assess specific data center sites for their ability to adopt emerging design configurations. Align, plan and deliver Data Center design delivery.
• Develop and execute Tech Insertion Cut-In Framework that defines the "Point of No Return" for design changes based on construction schedules and supply chain lead times.
• Orchestrate cross-functional efforts, provide executive decision support, and refine processes to accelerate time-to-decision. Execute scope for cross-functional product development of new products and programs, stretching to address undefined challenges with limited guidance.

Minimum qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
• Experience in Data Center Engineering and product design.

Preferred qualifications

• Certifications like MSP or MOR.
• Experience in technical and product program management.
• Experience managing risk of product and programs, implementing mitigation plans.
• Ability to navigate ambiguity and work in a fluid environment.
• Ability to influence cross-functional team members and stakeholders.

Our client is a prominent data center and ICT services provider based in Singapore. It specializes in offering secure, scalable, and high-performance infrastructure solutions to enterprises, financial institutions, and government agencies.

Job Scope:

• Supervises and mentors junior staff on the required daily maintenance and operations of the data centre facilities to ensure serviceability of all active and redundancy equipment.
• Responsible for maintaining and operating critical infrastructure systems such as power, cooling, and fire protection to ensure continuous uptime.
• Oversee preventive and corrective maintenance, lead infrastructure upgrade projects, and coordinate with contractors and vendors.
• Managing risk, responding to incidents, and ensuring compliance with industry standards and regulatory requirements.
• Focus on improving energy efficiency and sustainability within the data center.

Requirements:

• Degree or Diploma in Electrical/Mechanical Engineering or equivalent
• Min 2-3 years of relevant experience in Date Centre or M&E experience in building/construction industry
• Strong technical and functional skills and knowledge of facilities management and operations.
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $5,500 + AWS + Variable bonus

To apply, kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

We are hiring on behalf of our client, a reputable organisation, for a Data Scientist to develop and deploy data science and Generative AI solutions that support key business functions across investment, industry development, and corporate operations.

This is an exciting opportunity to work on impactful AI initiatives, partnering closely with stakeholders to translate business challenges into scalable, data-driven solutions.

Key Responsibilities

• Collaborate with business stakeholders to understand priorities and identify high-impact use cases
• Design and develop solutions using Data Science and Generative AI techniques to drive measurable business outcomes
• Research and evaluate emerging AI methodologies (e.g. LLMs, Agentic AI, predictive modelling, anomaly detection, NLP, customer segmentation)
• Perform data wrangling and analysis, including preprocessing, cleaning, and feature engineering
• Support deployment, monitoring, and maintenance of AI/ML models and applications
• Develop backend APIs and services for AI model integration and deployment
• Build frontend interfaces and user experiences for AI-powered applications
• Maintain proper documentation for systems, models, and enhancements
• Identify and remediate security vulnerabilities in deployed solutions

Requirements

• Bachelor’s Degree in Computer Science, Data Science, AI, Machine Learning, or related fields
• Strong understanding of AI/ML techniques for regression and classification
• Proficiency in Python and common libraries (e.g. pandas, scikit-learn, matplotlib, NLP libraries such as spaCy/NLTK)
• Understanding of LLM concepts and architectures (e.g. embeddings, context windows, tokenisation, RAG)
• Experience with prompt engineering and context optimisation techniques
• Proficient in Git and SQL
• Familiarity with Business Intelligence tools (e.g. Tableau, Power BI, Qlik, MicroStrategy)

Preferred / Nice-to-Have Skills

• Experience with modern programming languages (e.g. TypeScript, C#)
• Exposure to cloud platforms (preferably AWS)
• Experience with Docker / Kubernetes
• Full-stack development experience, including:Backend frameworks (e.g. FastAPI, Flask, Express.js)Frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases (e.g. Pinecone, FAISS, Chroma)
• Familiarity with AI agents / multi-agent systems
• Strong communication skills with the ability to translate technical concepts to non-technical stakeholders
• Experience with statistical tools (e.g. R, SAS)

All information will be kept strictly confidential. Only shortlisted candidates will be contacted.

TALENT PULSE PTE. LTD.
EA License No: 25S2956

Job Summary

This role involves leveraging advanced data analysis, visualization, and engineering tools to develop data models, automate ETL processes, and deliver actionable business insights that drive strategic decision-making.

Responsibilities

• Analyze complex datasets using Power BI, Tableau, and QlikView/QlikSense to create interactive visualizations that support business objectives
• Develop and maintain SQL and Python scripts (using Pandas, NumPy, Matplotlib, Plotly, Bokeh) to extract, transform, and analyze data for reporting and predictive analytics
• Design and implement data models using Star Schema, Snowflake Schema, and DataLake architectures to optimize data storage and retrieval
• Manage and optimize databases on Azure SQL Database and SQL Server to ensure data integrity and performance
• Build and automate ETL workflows using SQL Server Integration Services (SSIS), Azure Data Factory (ADF), and Talend to streamline data transformation processes
• Utilize big data technologies such as Azure Synapse Analytics, Apache Spark, and Databricks to process large-scale datasets efficiently
• Implement DevOps practices by managing Azure DevOps pipelines and using Git/GitHub for version control and continuous integration/continuous deployment (CI/CD)
• Perform data cleansing, data mining, statistical analysis, and predictive analytics to uncover trends and support data-driven decision-making