Total 343 data entry job vacancies in Australia

Job Descriptions:

• Check timecard against Info-tech clocking, enter the time hours, and ensure absent days are not given hours by the supervisors.
• Update and ensure accuracy of infotech database (eg. new join, cancellation, Home Leave records, basic salary, wp expirydates, csoc expiry dates, passport expiry dates & etc).
• Enforce strict controls on advances/loans—record, prepare bank file and recover fully.
• Ensure allowance and deductions are reflected in the payroll.
• Finalize data entries of payroll hours by the 5th; submit bank files by the 6th or latest 7th.
• Resolve bounced payments quickly.
• Finalise cash salary amount and coordinate toget the cash ready by the 8th.
• Keep the HR team & HOD informed of anypayroll queries and respond to workers/ supervisors within 2 working days.
• Submit job costing reports by the 10th.
• Issue payslips by the 14th.
• Check and tally balance of loan to workers against records of Finance Department on a monthly basis.
• Prepare and ensure original vouchers, loan agreements, payslips of cash salary, and etc are signed, returned, and scanned to server.
• Keep track of salary advances and giro transfers in Excel in a timely manner.
• Update and ensure accuracy of the increment excel in a timely manner.
• Prepare for settlement of salary, IR21 tax clearance, salary payment (including bank files for approver) for Home Leave Workers/ Resigned Workers and update in Excel in a timely manner.
• Check and submit yearly Employment Income IR8A.
• Prepare the required documents and respond to queries raised by the Finance auditor.
• Apply for levy waiver.
• Support ad-hoc tasks (e.g., Provide name list and payroll information for top management/ surveys/ policy renewals/submissions).
• Apply for bank accounts and distribute ATM cards in return with workers’ acknowledgements.
• Monitor passport and CSOC expiry dates, arrange timely renewals, and register workers for CSOC classes as needed.
• Maintain petty cash records.
• Reply to WhatsApp messages promptly.

Requirements:

• Available to start immediately.
• Fresh graduates are welcome. We can teach.
• Knowledge with Infotech Payroll & TMS modules is an advantage.
• Detail-oriented, proactive, and patient.
• Consistently having the passion to improve your work procedures and bring up to the team fordiscussion.
• Problem-solving and flexible thinking.
• Clear communication across all levels.
• Responsible team player—plan leave to avoid payroll timelines.

Roles & Responsibilities

Position: Data Entry Coordinator (Operations)

Location: Singapore 

About the Role: We are seeking a detail-oriented and dedicated Data Entry Coordinator to join our team. The successful candidate will be responsible for accurately inputting, updating, and maintaining operational records, ensuring data integrity and confidentiality at all times.

Key Responsibilities:

• Enter and update information into databases and spreadsheets.

• Verify accuracy of data and correct errors when identified.

• Maintain organized filing systems (digital and physical).

• Ensure compliance with company policies and data protection standards.

• Provide administrative support to other departments when required.

Requirements:

• Strong attention to detail and accuracy.

• Proficiency in Microsoft Office (Outlook, Excel, Word) and data management systems

Applicants who possess relevant experience for the above responsibilities are most welcome to apply. If you do not possess the above experience, your application will still be considered on individual merits and you may be contacted for other opportunities.

By submitting your personal data and/or resume, you give consent to the collection, use and disclosure of your personal data and/or resume by the company for the purpose of processing and administration by the company relating to this job application.

We regret to inform only shortlisted candidates will be notified.

Purpose of Role:

Assist in the development of ILS deliverables for ILS programmes that meets customer requirements efficiently and on time.

Responsibilities:

• Responsible for data entry and document assembly or extraction.
• Creating and populating data into templates for codification
• Processing and doing MMD data entry into software system • May be required occasionally to be at external site to assist for coordination of delivery of items to store
• May be required occasionally to be at external site for coordination of training
• Occasional lifting and carrying of documents or parts is required.

Requirements:

• Good proficiency in MS Office Suite
• Experience in Document Control for engineering projects will be advantageous
• Good written, verbal communication skills in English is required
• Able to interact effectively with all levels of staff both internally and externally
• Able to work independently
• Willing to commit to 2 years contract

Additional Information:

• Location: 16 Benoi Road (Island-wide transport provided)
• 5 days work week
• Working Hours: 7.25am to 5.00pm

About the job

Reporting to the Data and Analytics Lead, the successful candidate will be responsible for the following:

Data Management & Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices.

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract, transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning the data system, identifying and resolving performance bottlenecks and issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with the data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; Master’s degree preferred.
• At least ten years of work experience in data management disciplines, including data integration, modelling, optimisation, and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• At least four years of work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases, including SQL and NoSQL, is a must, while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices, including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools, including Unity Catalogue and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.
• Align with and demonstrate the company's Core Values, which are Integrity, Teamwork, Accountability, Agility, and Ambition.

Key Responsibilities

Integration & Workflow Engineering

• Analyse and re-platform existing workflow-based integrations from one platform to another while maintaining functional parity.
• Implement orchestration logic including triggers, conditional routing, retries, exception handling, and state management.
• Design and implement automation patterns to handle platform limitations (e.g., looping, batching, pagination, throttling).
• Ensure workflows are idempotent, fault tolerant.
• Support environment-based deployments (DEV / UAT / PROD) with configuration-driven designs.

Data Engineering & ETL

• Design and build ETL pipelines for ingesting flat files (e.g., CSV) into relational databases.
• Handle schema validation, basic schema evolution, data quality checks, and error reconciliation.
• Optimize data ingestion for performance, scalability, and reliability.
• Collaborate with application teams to understand upstream and downstream data dependencies.

Cloud & Big Data Platform Contributions

• Build and maintain data pipelines on cloud-based big data platforms using distributed processing frameworks.
• Contribute to Lakehouse-style data storage that supports both batch and streaming data.
• Work with modern table formats that support incremental processing, versioning, and historical queries.
• Support use cases such as append-heavy datasets, high-write event data, and analytical queries.

Operations, Quality & Observability

• Implement logging, monitoring, and alerting for workflows and data pipelines.
• Support operational readiness including runbooks, deployment procedures, and rollback strategies.
• Participate in root-cause analysis and continuous improvement of data pipelines.
• Ensure adherence to data governance, security, and compliance standards.

Required Skills & Experience

Technical Skills

• Strong experience with workflow orchestration / integration platforms.
• Solid understanding of ETL concepts and hands-on experience with file-based ingestion.
• Proficient in SQL and working knowledge of relational databases (e.g., SQL Server or equivalent).
• Experience with distributed data processing frameworks (e.g., Spark).
• Familiarity with streaming and batch data processing concepts.
• Practical experience with cloud platforms and managed data services.
• Understanding of CI/CD principles for data and integration workflows.

Programming & Automation

• Experience with scripting or programming languages commonly used in data engineering (e.g., Python).
• Ability to build reusable utilities for batching, retries, pagination, and error handling.
• Experience with REST APIs and structured data formats (JSON, CSV).

Desired (Good to Have)

• Exposure to modern Lakehouse table formats supporting incremental processing and time travel.
• Experience with stream processing engines (e.g., Flink or Spark Streaming).
• Familiarity with query engines used for analytical access.
• Experience working in regulated environments (banking, financial services, or manufacturing).
• Knowledge of data observability and quality frameworks.

Experience Level

• Typically, 3–5 years of relevant experience in data engineering, integration engineering, or similar roles.
• Proven ability to work independently on moderately complex problems while collaborating within a larger team.

Soft Skills & Competencies

• Strong analytical and problem-solving skills.
• Ability to understand existing systems and translate requirements into working solutions.
• Clear communication with technical and non-technical stakeholders.
• Detail-oriented with a focus on reliability and maintainability.
• Comfortable working across multiple teams and applications.

Job Description:

Combine AI/ML and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions

• Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at junior levels
• Actively participate in business and technical discussions and forums

We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job.

We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale.

Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect.

You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing.

This is an end-to-end ownership role. No handoffs.

Responsibilities

• Build and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet
• Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service
• Negotiate contracts and manage commercial relationships with data providers
• Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven)
• Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting
• Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling
• Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage
• Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel
• Build tooling that makes adding the next data source faster than the last one
• Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you faster

Requirements

You've done this before:

• 5+ years building data pipelines that run in production, 24/7, with real SLAs
• Deep hands-on experience with SQL databases and time-series data
• Python as your primary language, comfortable with async programming
• You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation
• You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work

You think about the whole picture:

• You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles
• You understand that data has a cost and a value, and not every source is worth keeping
• You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations

You use AI daily:

• AI coding tools are part of your workflow today, not something you're curious about
• You can articulate specifically how AI makes you faster and where it doesn't help
• You'd be frustrated if you couldn't use AI in your work

Nice to have

• Experience with financial market data
• Experience with streaming systems (Kafka or similar) at scale
• Vector database or embedding pipeline experience
• Experience with unstructured data extraction (PDFs, documents, NLP)

Perks & Benefits

• Senior individual contributor role with full ownership of the data domain
• Direct access to leadership — no bureaucracy, fast decisions
• AI tools provided and encouraged across all work
• Remote-friendly, async-first
• Compensation commensurate with experience

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Data Scientist (Smart Manufacturing and AI) at Micron, you will leverage advanced techniques from mathematics, statistics, and information technology to improve semiconductor product quality, yield, and productivity. You will develop predictive models, actionable insights, and AI-enabled solutions that address large-scale manufacturing and quality challenges involving die-level, wafer-level, test, and quality/customer-related data.

Your work will directly help prevent customer-impacting quality events, reduce escapes, accelerate root-cause analysis and corrective actions, detect distribution shifts in manufacturing and field signals, and enable intelligent automation across Micron’s global fabs, bridging factory learning with customer-facing product quality outcomes.

Responsibilities and Tasks

Product Quality (PQ) Predictive Solutions:

• Build and productionize ML models (classification/regression) for product-quality prediction (e.g., escape prevention, failure-mode prediction, risk scoring) across manufacturing and post-manufacturing data.

• Develop anomaly and drift detection/monitoring (e.g., Isolation Forest, autoencoders/VAEs) to identify emerging quality signatures in fab, test, and field/customer signals.

• Apply text analytics (embeddings, clustering, classification, summarization) to quality narratives, customer feedback, FA notes, and engineering logs.

Agentic AI Development:

• Contribute to the design and implementation of multi-agent systems for PQ workflows, including automated root-cause analysis and process optimization.

• Optimize for performance, latency, and token efficiency.

• Assist in implementing tool-using capabilities, function calling, and agent memory systems.

• RAG-LLM Development: Develop advanced retrieval strategies including hybrid search, re-ranking, and contextual compression.

Software Engineering and Productionalization:

• Develop robust, maintainable code and analytical pipelines suitable for high-volume manufacturing environments.

• Optimize system performance, latency, and token efficiency.

• Collaborate with senior team members on testing, deployment, and monitoring.

• Clearly communicate analytical insights, model behavior, and trade-offs to both technical and non-technical customers to enable data-driven decisions.

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.​

Required Qualifications & Skills

Education/Experience:

• Bachelor’s in Computer Science, Data Science, Operations Research, Mathematics, or a related highly quantitative field.

• Strong desire to grow a career as a Data Scientist in advanced, highly automated industrial manufacturing.

Technical Skills:

• Proficiency in Python and experience extracting and manipulating data using SQL.

• Solid foundation in statistics and machine learning (supervised/unsupervised learning, model evaluation, feature engineering).

• Experience with SQL for data extraction and manipulation.

• Experience with version control (Git).

• Familiarity with building interactive data applications or dashboards (e.g., Streamlit, PowerBI, or similar).

• Strong verbal and written communication skills, with the ability to explain complex analytical results clearly.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes

Preferred Qualifications

• Exposure to LLMs, agentic AI frameworks, or RAG pipelines (internship experience, academic, or personal projects welcome).

• Experience with time-series data, process/manufacturing data, or handling concept drift/imbalanced datasets.

• Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and data visualization tools (Tableau, Power BI).

• Exposure to ETL tools, containerization (Docker), or web frameworks (Angular, React, FastAPI).

We are seeking an experienced Senior Data Analyst to lead the build and operationalisation of a robust data management platform across the region. This is a hands-on role suited for someone passionate about designing scalable data infrastructure and delivering reliable, production-grade data pipelines.

Experience with Microsoft Fabric is advantageous, but not required—candidates with strong data engineering fundamentals and a willingness to learn new technologies are encouraged to apply.

Data Platform & Pipeline Engineering

• Design, build, and optimise end-to-end data pipelines to ingest, process, and transform data from diverse regional.
• Develop scalable and maintainable data ingestion frameworks and processing patterns
• Establish a robust, high-performing data architecture to support analytics and downstream use cases

Data Management, Quality & Governance

• Embed data quality checks, validation rules, and monitoring within data pipelines
• Implement and support data governance practices including data lineage, metadata management, and access control (e.g., via tools like Microsoft Purview)
• Define and enforce data ownership, stewardship, and governance standards across the region
• Ensure compliance with internal policies and regional data regulations
• Collaborate with global data teams to align on governance frameworks, KPIs, and best practices

• Develop and maintain curated data layers and semantic models to support reporting and analytics needs

• Partner with business stakeholders to translate requirements into scalable data models
• Ensure consistency and standardisation of KPIs and reporting outputs across the region
• Support migration or integration of existing reporting platforms where relevant

Requirements/skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong hands-on experience in building and managing data pipelines and data platforms
• Solid understanding of data modelling, data governance, and data quality best practices
• Exposure to cloud-based data platforms; familiarity with Microsoft Fabric or similar modern data platforms is a plus
• Proven ability to work in a fast-paced environment and adapt to new tools and technologies

EA License No. 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Asia-Pacific data centre Organization , backed by strong institutional investors, with a growing portfolio of hyperscale and enterprise-grade data centres across key regional markets.

Overview

The Contract Manager will be responsible for the administration, compliance, and commercial governance of contracts across data centre projects. This role ensures contractual obligations are managed effectively, risks are mitigated, and commercial and legal interests are protected throughout the project lifecycle.

Responsibilities

Contract Administration & Compliance

• Manage and administer main contracts, consultant agreements, and key subcontracts

• Ensure compliance with contract terms, conditions, and timelines

• Track contractual deliverables, notices, and obligations across projects

• Maintain accurate and auditable contract documentation

Change, Claims & Variations

• Manage variations, change orders, claims, and extensions of time

• Assess entitlement, support negotiations, and coordinate with legal advisors where required

• Ensure timely submission and response to contractual notices

Commercial & Risk Management

• Identify, assess, and mitigate contractual and commercial risks

• Support cost control and commercial reporting from a contractual perspective

• Assist in dispute avoidance and resolution strategies

Governance & Best Practice

• Support the development and enforcement of contract management standards and processes

• Contribute to continuous improvement of contract templates and governance frameworks

Requirements

• 8 years of contract / commercial management experience

• Proven experience on data centre, mission-critical, industrial, or large-scale infrastructure projects

• Experience working with developers, operators, or main contractors preferred
  

How to Apply: Click Apply now — or send your resume directly to Talent@BuildBridgePartners.com

EA Name: BuildBridge Partners Pte Ltd

EA License No: 25C2918

EA Reg No: R1551092

Khoo Yan Jie

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

Company: Royal Organization

About the Role:

Still figuring things out after graduation or ORD? Not keen on a traditional desk job?

We help brands grow through face-to-face marketing. More importantly, we help people grow.

What You'll Do:

· Represent brands through in-person campaigns

· Build communication & confidence skills

· Learn sales, leadership & team coordination

· Progress toward leading your own team (performance-based)

What We're Looking For:

· Willing to learn (no experience needed)

· Comfortable engaging with people daily

· Motivated by personal growth

· Enjoys a collaborative team environment

What You'll Get:

· 1-to-1 mentorship & structured training

· Fast progression based on merit, not seniority

· Supportive, energetic team culture

· Overseas exposure opportunities (performance-based)

No prior experience required. Fresh graduates and individuals from all backgrounds welcome.

Apply now and let's grow together

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment