Total 244 data entry job vacancies in Australia

Work scope, duties and responsibilities

1. Perform Quality administrative duties including data entry, document management.

2. Coordinate & assist in sorting, filing, and copying documents.

3. Any other duties and responsibilities assigned by the Company from time to time

Working Day/ Time : Tuesday to Saturday, 8.30am to 6pm (5 days)

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:

• Support Engineers and Senior Engineers in performing maintenance and operational tasks as required.
• Respond to system alarms or faults, analyze patterns, and assist in implementing appropriate corrective measures.
• Monitor and investigate alerts from the Building Management System (BMS) and Environmental Monitoring System (EMS)
• Provide updates on unresolved issues, respond to emergencies, and be available for standby duties.
• Contribute to data center projects and additional or alteration works, including construction activities, equipment installations, and coordination with external contractors to ensure compliance with operational standards and project timelines.
• Assist in both scheduled and emergency maintenance events, and support efforts related to accreditation and certification processes.

Requirements:

• Degree in Electrical/Mechanical Engineering or equivalent
• No experience needed (Training provided)
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $3,800 + AWS + Variable bonus

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

We regret that only shortlisted candidates will be notified.

Job Description:
We are looking for a dedicated and disciplined Production Data Entry Assistant (System & Tracker) to support our Production Manager in daily operations. This role is responsible for accurate and timely entry of work orders into production trackers (manual and digital), ensuring real-time visibility of job progress and full traceability across all stages.

In the future, the role will also involve working with the Manufacturing Execution System (MES)once implemented. The data you provide will be critical in helping the Production Manager plan, assign, and monitor tasks across the production team.

Key Responsibilities:

• Perform accurate and timely data entry of daily work orders into production trackers (manual & digital).
• Provide live updates on job status for traceability across different production stages.
• Support the Production Manager with reliable data for daily planning and task allocation.
• Maintain proper records and documentation of all production work orders.
• Liaise with production staff to capture and update live job status.
• Adapt to future system implementation (e.g., MES) to enhance data accuracy and efficiency.

Requirements:

• Strong discipline, accuracy, and commitment to role responsibilities.
• Fast learner with the ability to quickly understand production processes and workflows.
• Organized, firm, and detail-oriented, able to work under pressure in a fast-paced production environment.
• Basic computer literacy (Microsoft Excel, Word, data entry).
• Prior experience in manufacturing/production administration will be an advantage.

Overtime eligible, based on production requirements

Your new company

Our client in public sector is looking for an experienced Data Science Manager to join their team.

Your new role

• Translate strategic direction into actionable ML/AI digital transformation plans, ensuring scalable architecture and responsible AI standards.
• Define and drive CIO Office outcomes and OKRs, aligning with HQ goals and executing long-term roadmaps.
• Identify inefficiencies, anticipate risks, and take decisive action to improve operations and seize opportunities.
• Build cross-functional partnerships and foster a culture of innovation, collaboration, and continuous improvement.
• Develop and manage high-performing teams through coaching, hiring, and creating an environment for sustained performance.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• Deep expertise in satellite data, cloud infrastructure, and government security requirements.
• 10+ years of technical leadership experience in data analytics, database management, and software development.
• Knowledge of space systems such as mission control software, orbital analysis, and space weather tools (preferred).
• Excellent communication and strategic thinking skills, with the ability to translate complex concepts into actionable plans, plus program management experience.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

Here’s a shorter, more attention-grabbing version:

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Here’s a shorter, more attention-grabbing version:

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Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise Data Warehousing, Big Data platforms, Data Lake architectures, and modern cloud technologies. The ideal candidate will have hands-on experience designing and implementing large-scale ETL/ELT pipelines, data transformation frameworks, and analytics solutions within banking, financial services, or large enterprise environments.

The role requires deep technical knowledge of Apache Spark, PySpark, Hadoop ecosystems, Teradata, Cloud Data Platforms, and emerging Generative AI technologies for intelligent data processing and automation. The candidate should be capable of driving end-to-end data engineering initiatives, supporting business intelligence, analytics, regulatory reporting, and AI-enabled data solutions.

Key Responsibilities

• Design, develop, and optimize enterprise Data Warehouse and Data Lake solutions.
• Build scalable ETL/ELT pipelines using Python, Spark, and PySpark.
• Develop and maintain data ingestion, transformation, and analytical data processing frameworks.
• Implement data integration solutions across structured, semi-structured, and unstructured data sources.
• Manage large-scale data platforms using Hadoop, AWS S3, Azure Databricks, and Cloud Data Services.
• Develop data marts and business intelligence datasets for analytics and reporting.
• Implement metadata management, data lineage, and governance frameworks using tools such as Collibra and Enterprise Data Catalog.
• Design and optimize Spark SQL workloads for high-performance analytics.
• Build automated workflow orchestration solutions using Airflow, Control-M, or equivalent scheduling platforms.
• Integrate Generative AI capabilities into data engineering workflows for metadata tagging, data classification, anomaly detection, and intelligent reporting.
• Collaborate with business stakeholders, architects, data scientists, and analytics teams to deliver scalable data solutions.
• Ensure data quality, governance, security, and compliance requirements are met.
• Support production systems, troubleshoot performance issues, and maintain SLA compliance.

Required Skills

Data Engineering

• Apache Spark
• PySpark
• Spark SQL
• Python
• SQL / PL-SQL
• Hadoop HDFS
• Data Warehouse Design
• Data Lake Architecture
• ETL / ELT Development
• Dimensional Modeling
• Star Schema & Snowflake Schema

Cloud & Big Data

• AWS S3
• Azure Databricks
• GCP BigQuery
• Cloudera Data Platform
• Kafka
• Parquet
• Alluxio

Data Governance

• Collibra
• Enterprise Data Catalog (EDC)
• Metadata Management
• Data Lineage
• Data Quality Management

DevOps & Automation

• Airflow
• Control-M
• Jenkins
• GitLab
• Bitbucket
• CI/CD Pipelines

Generative AI

• OpenAI API
• Claude API
• LangChain
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, ChromaDB)

Preferred Experience

• 10+ years of Data Engineering experience.
• Banking, Financial Services, or Insurance domain experience.
• Experience working with Teradata Data Warehouses.
• Hands-on experience in Data Lake modernization initiatives.
• Experience delivering regulatory reporting and compliance data solutions.
• Exposure to AI-enabled data platforms and intelligent analytics solutions.
• Experience supporting enterprise-scale production environment

Here’s a shorter, more attention-grabbing version:

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Here’s a shorter, more attention-grabbing version:

Responsibilities:

• Design and implement robust, scalable data pipelines and architectures to support data ingestion, processing, and storage. Including performance optimizations for data modeling and ingestion
• Develop and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis.
• Model data to meet different use casesng applications and automate data workflows.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Lead the integration of data from various sources into data lakes and warehouses, ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines and workflows to ensure optimal performance and reliability.
• Communicate with and support data users
• Document data processes, data models, and architectural designs to ensure knowledge sharing and compliance with best practices.

Prerequisites:

• Experience: Minimum 3 years in data engineering fields with system integration, and at least 1 year in system integration and implementation in cloud/web-based environments.
• Proven Solutions: Demonstrated experience in providing effective, working solutions and implementations, particularly in cloud-based environments.

Technical Skills:

• Solid understanding of ETL processes, data warehousing concepts, and data modeling best practices.
• Proficiency in Databricks, Azure Data lake, PowerBI, Tableau and related data processing and visualisation software.
• Familiarity with Windows, Linux, AWS and/or Azure platforms.
• Strong programming skills in languages such as Python and R is a must
• Proficiency in other programming languages such as Java, Scala and C# will be advantages
• Experience in data processing frameworks (e.g., Apache Spark, Apache Flink)

Preferred Exposure:

• Experience with large-data management system with visualisation tools.
• Experience with Data Integration and ETL Pipelines, Data Warehousing and BI reporting projects.
• Experience with Singapore Government Project will be advantages

Personal Attributes:

• Excellent problem-solving skills
• Ability to work independently
• Collaborative in a fast-paced environment

Why Join Us?
Be part of a forward-thinking team that is transforming government digital services. If you are passionate about technology and innovation, and thrive in a dynamic environment, we want to hear from you!

If you are passionate about building partnerships and driving growth, we would love to hear from you!

TOPPAN Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at www.topppanecquaria.com or www.linkedin.com/company/toppan-ecquaria

For more career opportunities, please visit our career site at:- https://toppanecquaria.com/careers/job-openings?utm_source=Jobstreet&utm_medium=Page&utm_campaign=2020 (Please copy & paste the above link onto your browser)

Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 4000 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.

As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.

About the Role

We are looking for a Data Analyst Consultant to support data-driven decision-making by transforming business data into meaningful insights. The successful candidate will work closely with stakeholders to develop reports, dashboards, and analytical solutions that support business and operational objectives.

Key Responsibilities

• Gather, analyze, and interpret data from multiple sources to identify trends and business insights.
• Develop and maintain dashboards, reports, and visualizations using Power BI or similar BI tools.
• Collaborate with business stakeholders to understand reporting and analytics requirements.
• Perform data validation and quality checks to ensure accuracy and consistency.
• Support ad-hoc analysis and provide actionable recommendations to business teams.
• Work closely with data engineering and technology teams to improve data availability and reporting capabilities.

Requirements

• 2–3 years of experience in Data Analytics, Business Intelligence, or a related field.
• Strong SQL skills and experience querying large datasets.
• Hands-on experience with Power BI
• Proficiency in Excel and data analysis techniques.
• Strong analytical, problem-solving, and communication skills.
• Experience translating business requirements into dashboards and reports.

Nice to Have

• Experience with Python for data analysis and automation.
• Exposure to Databricks, Azure, or cloud-based data platforms.
• Knowledge of data modelling and data warehousing concepts.
• Experience working with financial services, aviation, or asset-intensive industries.

JOB DESCRIPTION

Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!

JOB SUMMARY

A data scientist is a statistical analyst who have working experience in the field of data science. Work with other data scientists, ML Ops team, R&D team, Business users’ team etc. in collecting, analyzing, interpret data sets and build AI/ML models to drive optimization and improvement of product development. As part of the company's AI/ML team member, data scientist is required to provide help in developing custom data models and algorithms to apply to data sets. Data scientist must also coordinate with different functional teams to implement AI/ML and monitor outcomes.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Lead/work with team members to lead AI/ML cases with proper planning and execution to deliver the cases and drive the efficiency for the Manufacturing.

• Conducts data analysis, or Works with related team to design or build dashboards using generative AI tools

• Works with engineering and data science teams to support model training, fine tuning, and deployment workflows, ensuring that machine learning and generative AI systems are properly integrated, monitored, and optimized based on business requirements.

• Identifies and analyzes patterns with machine learning models or Generative AI models etc. during AI/ML model training, and utilize those for inferencing.

• Educates the organization both from IT and the business perspectives people on new approaches, such as Generative AI, machine learning, AI computer Vision etc.

JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS

• Proficient in Python/R, Cloud techniques development experience is plus

• Strong statistics knowledge

• Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models are preferred

• Familiar with Natural Language Processing (NLP) or Generative AI models

• Good data sensitivity skill set is plus

• Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus

• Highly motivated and creative, thinking “out of the box”

• Strong team mentality, interpersonal and communications skills

• Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required

EDUCATIONAL BACKGROUND & EXPERIENCE

• People who are taking his/her Bachelor or above degree in Computer Science, Machine Learning, Mathematics or Statistics

• 6 years or above experience of data mining/machine learning experience is preferred

• 3 years or above experience of Generative AI experience is preferred

• 1 years or above experience of AI computer vision experience is plus

• 3+ years of experience as a Data Analyst, BI Analyst, Reporting Analyst, or similar role.

• Strong analytical skills and ability to work with complex datasets.

• Good SQL skills for querying, validating, and analysing data.

• Experience with reporting and dashboard tools such as Power BI, Tableau, Qlik, or equivalent.

• Good understanding of data quality, data validation, metrics definition, and business rule documentation.

• Experience working with business users to clarify requirements and translate them into reports or dashboards.

• Familiarity with data models, reporting tables, and data pipelines is advantageous.

• Experience in enterprise, public sector, healthcare, or regulated environments is advantageous.

• Strong communication skills and ability to explain data clearly to both technical and non-technical stakeholders.

Job Summary

We are seeking an ambitious Marketing Executive to increase brand awareness and grow the customer base by promoting products and services at event sites in Singapore.

Responsibilities

• Execute event marketing campaigns by coordinating tasks and ensuring timely completion to meet campaign goals
• Engage with existing and potential customers to communicate product and service benefits clearly and effectively
• Collaborate with the Marketing team to develop and implement promotion strategies that drive customer interest and sales growth

Preferred competencies and qualifications

• Experience in Sales, Marketing, or related roles to support campaign execution and customer engagement
• Strong communication and presentation skills to effectively convey marketing messages
• Openness to learning and adapting to new marketing techniques and strategies

Candidates with no prior experience are welcome to apply