Total 666 Senior Executive data entry job vacancies in Australia

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

Job Description:

Drive AI-Enabled Insights

• Deploy Natural Language Q&A and Copilot-based analytics

• Develop AI-driven use cases (forecasting, anomaly detection, KPI insights)

• Enable business users to access insights independently

Build a Scalable Data Platform

• Design and optimize data pipelines using Microsoft Fabric

• Develop robust data models and Power BI dashboards

• Standardize data architecture across the AP region

Strengthen Data Governance & Trust

• Implement Microsoft Purview for data lineage and governance

• Define data ownership and ensure KPI consistency

• Improve data quality and transparency across systems

Partner with the Business

• Translate business needs into data and AI solutions

• Act as a trusted advisor to management and operational teams

• Drive adoption of data-driven practices

Job Requirements

• 3–5 years of experience in data analytics, BI, or data platform roles

• Strong hands-on experience with Power BI and data modeling-Experience with Microsoft Fabric / Azure Data Platform preferred

• Exposure to AI tools (Copilot, Azure OpenAI, or similar) is a plus

• Experience in data governance (e.g., Microsoft Purview) is advantageous

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format or please click on “Apply Now” or or email ref50@trustrecruit.com.sg

 We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd                  

EA License No: 19C9950

EA Personnel: Moy See Meng (Jasmine)

EA Personnel Reg No: R24123391

Drive AI-Enabled Insights

• Deploy Natural Language Q&A and Copilot-based analytics

• Develop AI-driven use cases (forecasting, anomaly detection, KPI insights)

• Enable business users to access insights independently

Build a Scalable Data Platform

• Design and optimize data pipelines using Microsoft Fabric

• Develop robust data models and Power BI dashboards

• Standardize data architecture across the AP region

Strengthen Data Governance & Trust

• Implement Microsoft Purview for data lineage and governance

• Define data ownership and ensure KPI consistency

• Improve data quality and transparency across systems

Partner with the Business

• Translate business needs into data and AI solutions

• Act as a trusted advisor to management and operational teams

• Drive adoption of data-driven practices

Requirements

• 3–5 years of experience in data analytics, BI, or data platform roles

• Strong hands-on experience with Power BI and data modeling-Experience with Microsoft Fabric / Azure Data Platform preferred

• Exposure to AI tools (Copilot, Azure OpenAI, or similar) is a plus

• Experience in data governance (e.g., Microsoft Purview) is advantageous

HOW TO APPLY

Interested applicants, please send your latest resume to kelly.ng(at)trustrecruit.com.sg or click on “Apply Now” and provide the below details in your resume.

Last drawn salary

Expected salary

Notice period

Reason of leaving

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Ng Hui Shan Kelly Reine

EA Personnel Reg No: R25126972

Zenith Infotech (S) Pte Ltd. was started in 1997, primarily with the vision of offering state-of-the-art IT Professionals and solutions to various organizations and thereby helping them increase their productivity and competitiveness. From deployment of one person to formation of whole IT teams, Zenith Infotech has helped clients with their staff augmentation needs. Zenith offers opportunity to be engaged in long term projects with large IT savvy companies, Consulting organizations, System Integrators, Government, and MNCs.

EA Licence No: 20S0237

Role:

Data Pipeline Infrastructure & Architecture:

• Design and implement scalable data architectures on cloud data platforms with high availability, security, and performance.

• Lead development of Data Lakehouse solutions.

• Collaborate with stakeholders to understand requirements and translate them into technical specifications.

• Pipeline Development & Optimisation.

• Build and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks.

• Optimise data processing workflows for performance, cost-effectiveness, and reliability.

• Implement automated data quality checks and monitoring systems to ensure data integrity.

Data Systems Architecting & Solutioning:

• Design and architect comprehensive cloud-native Data & AI solutions aligned with business objectives and technical requirements.

• Lead cloud migration strategies and oversee implementation of complex multi-cloud environments.

• Drive innovation through integration of Data & AI capabilities into HDB’s Data & AI platform product architectures.

• Conduct technical assessments and recommend modernised approaches using cloud native technologies.

• Maintain architectural documentation.

Cloud Platform Operations:

• Leverage Cloud Native Services to build and manage data infrastructure.

• Implement infrastructure as code practices using Terraform.

• Ensure compliance with security standards and data governance policies.

Technical Leadership & Collaboration:

• Mentor junior data engineers and provide technical guidance on complex challenges.

• Participate in architectural reviews and contribute to data strategy evolution.

Requirements:

• Degree in computer science, Information Technology, Computer Engineering, or related field.

• At least 3 years of relevant experience in data systems architecture, data systems integration, and data pipeline setup at production scale.

• Good understanding of cloud computing principles including infrastructure as code, containerisation, microservices architecture, cloud security frameworks, identity and access management, network architecture, and distributed systems.

• Proven ability to translate business requirements into technical solutions.

• Excellent communication skills for presenting complex concepts to diverse audiences.

• Experience with cloud security frameworks, compliance requirements, and risk management.

• Experience in data domains (e.g. DataOps, Data Lakehouse) and AI/ML Domains (e.g. MLOps, LLMOps).

• Strong knowledge and hands-on experience with SQL, Python and Apache Spark.

• Hands-on experience with Apache Kafka, Airflow, or similar technologies.

• Proficiency in Amazon Web Services (AWS) services is a good to have.

• Relevant cloud certifications (e.g. AWS Solutions Architect Professional, AWS Data Engineer Associate) would be an advantage

• Experience with Data & AI cloud-native services (e.g. Amazon SageMaker Unified Studio, Amazon Quick Suite, AWS S3, AWS Glue, AWS Lake Formation, AWS Bedrock, AWS Agent Core, Amazon Comprehend, Amazon Rekognition and Amazon Textract).

• Familiarity with serverless computing, edge computing, and IoT architectures.

• Experience with machine learning operations (MLOps) and ML model deployment pipelines.

• Knowledge of data governance frameworks and metadata management tools.

• Familiarity with data visualisation tools and business intelligence platforms.

To apply:

Please send your latest CV in MS Word format to jennifer@zenithinfotech.com.sg

Appreciate the interest of all applicants; however only shortlisted candidates will be notified.

☑ Salary $2800 to $3200 + Bonus of Up to 3.5 Month)
☑ Working Location: Tampines or Alexandra (2 Position)
☑ 5 Days (Monday to Friday – 9.00AM – 6.00PM)
☑ 14 Days Annual Leave
☑ IT System Integrator Industries
☑ Good Working Environment

 Job Scope:

• Attending to client IT enquiries & troubleshooting request

• Coordinating of IT equipment servicing

• Preparing of Quotation and contract

• Liaising with Internal team on service delivery

• Any other ad-hoc administrative tasks assigned

 Requirement:

• Secondary or ITE Qualification or above

• 1 – 3 Years of Administrative Experience

• Proficient in MS Excel software

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at emily.fong@atomrecruit.com

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

Get to Know the Team

The Product Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas!

Get to Know the Role

Reporting to Analytics Manager, you'll collaborate across disciplines (Product, Business, Engineering, Design, and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will collaborate with stakeholders to define key product metrics and design experiments including A/B testing that shape the future of our products.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with the engineering teams.
• You will drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!

This role requires a highly self-motivated individual that is well organized and can time-manage well. The role requires the talent to perform the following duties:

• Develop, plan, and manage mechanical engineering projects, ensuring timely completion, cost-effectiveness, and adherence to quality standards.

• Collaborate with cross-functional teams, including sales, design, supply chain, and quality control, to optimize project outcomes.

• Prepare and review technical documentation, such as drawings, specifications, and engineering reports, ensuring accuracy and compliance with relevant codes and standards.

• Conduct feasibility studies, risk assessments, and cost estimates for proposed projects.

• Evaluate and select appropriate materials, equipment, and installation methods for projects.

• Troubleshoot and resolve technical issues and provide guidance to junior engineers and technicians as needed.

• Monitor and report on project progress to all relevant stakeholders.

• Ensure compliance with applicable health, safety, and environmental regulations throughout project lifecycle.

• Manage sub-contractor to ensure compliance with all project & requirement.

• Work closely with QC to fulfil all QC standard to meet contractual requirement.

• Managing all System Acceptant Test, System Conditioning and handover.

Requirements:

• Bachelor’s degree in mechanical engineering with strong knowledge in Thermodynamic.

• 2-5 years of experience in mechanical engineering and project management.

• Proficiency in computer-aided design (CAD) software, such as AutoCAD/SolidWorks/Inventor.

• Experienced in ACMV in data centre environment.

• Demonstrated experience in managing projects from concept to completion, with a focus on budget, schedule, and quality control.

• Excellent communication, interpersonal, and presentation skills, with the ability to collaborate effectively with team members, clients, and external partners.

• Strong analytical and problem-solving skills, with a keen attention to detail.

• Ability to work independently and manage multiple priorities in a fast-paced environment.

Travel Requirement

This position may require occasional travel to various ASEAN countries and outstation locations as an essential part of the job responsibilities. The frequency and duration of travel may vary depending on project needs and business requirements.

Get to Know the Team

The Deliveries Analytics team is the analytics and data powerhouse behind Grab's marketplace and on-demand grocery delivery ecosystem. The Supply Chain function focuses on powering one of the most complex parts of the business - instant grocery and retail delivery through 3P and 1P partners. It operates at intersection of inventory, demand forecasting, fulfillment operations, and last-mile logistics. Unlike traditional marketplaces, we manage highly dynamic catalogs, perishable inventory, and real-time fulfillment constraints across dark stores and merchant partners. Our mission is to ensure that what customers want is available, picked, and delivered—fast, reliably, and cost-effectively.

Get to Know the Role

Reporting to the Senior Analytics Manager, you will work with Product, Operations, and Business teams to optimize the inventory-led supply chain, from assortment and availability to fulfillment and delivery. Your work will directly shape how we scale our operations and deliver a seamless grocery experience to millions of users through AI and active experiments.

Your role involves in:

• Reducing stockouts and substitutions
• Improving catalog quality and assortment efficiency
• Optimizing dark store and merchant fulfillment performance
• Balancing freshness, waste, and availability for perishable goods

This role is base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Analyze and optimize inventory availability and assortment performance, including in-stock rates, substitution rates, and catalog health across dark stores and merchant partners
• Solve main supply chain challenges such as stockouts, overstocking, perishability, and demand-supply mismatch
• Develop and monitor core supply chain metrics (eg: in-stock rate, fill rate, substitution rate, waste/shrinkage, order fulfillment time)
• Partner with Product and Operations teams to design experiments (including A/B testing) to improve availability, fulfillment quality, and customer experience
• Build data models and tools to support demand forecasting, inventory planning, and replenishment strategies
• Optimize picker and packing efficiency, batching logic, and fulfillment workflows within dark stores and merchant operations
• Define data requirements and instrumentation for new supply chain features, ensuring accurate and scalable data capture
• Champion AI-first analytics workflows, using automation and new tools to improve forecasting, anomaly detection, and operational decision-making.
• Build dashboards and data products that allow real-time visibility into supply chain performance for operations and business teams

About KoolLogix 

KoolLogix is a Singapore emerging enterprise that provides thermal management solutions for IT and Data Centre applications. The company is growing its talent pool by recruiting technical resources to support its aspiring plan in innovative engineering solutions.  

This role requires a highly self-motivated individual who is well organized and can manage time effectively. The role requires the talent to perform the following duties: 

Site Supervision and Coordination 

• Supervise daily site activities and ensure work is executed according to project specifications, plans, and safety regulations. 

• Coordinate with Project Engineer and subcontractors to ensure smooth progress of work on site. 

• Conduct regular site inspections to monitor the quality of work and identify potential issues. 

Communication and Reporting 

• Maintain effective communication with the Project Engineer, customer representatives, and subcontractors. 

• Provide regular updates on site progress, issues, and concerns to the Project Engineer. 

• Assist the Project Engineer in preparing progress reports and other project documentation. 

Safety and Compliance 

• Ensure compliance with safety regulations, site safety policies, and customer safety requirements. 

• Conduct regular safety briefings and toolbox talks for site personnel. 

• Report any safety incidents or concerns to the Project Engineer and relevant parties. 

Material and Equipment Management 

• Assist the Project Engineer in tracking and managing materials and equipment on site. 

• Ensure proper storage and handling of materials and equipment to prevent damage or loss. 

• Coordinate with vendors and subcontractors for timely delivery of materials and equipment. 

Quality Assurance and Control 

• Assist the Project Engineer in implementing quality control measures and ensuring that all work is performed according to established standards. 

• Conduct site inspections and tests to verify compliance with project specifications and quality standards. 

• Assist in managing the testing and commissioning process and ensure proper documentation of test results and customer acceptance. 

Site Closure and Handover 

• Coordinate with the Project Engineer and other stakeholders in completing the project handover process. 

• Assist in conducting site walkthroughs with customer representatives and addressing any outstanding issues. 

• Participate in the Project Closure Meeting to review lessons learned and identify areas for improvement in future projects. 

Requirement

•  A minimum of 3 years’ experience as below is required:

• Maintenance & field support with relevance to industrial ACMV refrigerant systems

Other requirements:

• Higher NITEC in Control/Electrical/Mechanical Engineering is required.

• Strong planning, coordination & reporting skills.

• Strong knowledge of mechanical engineering principles, specifically thermodynamics & fluid mechanics an added advantage.

• Prior experience working in data center an added advantage.

• Prior experience in customer engagement.

• Excellent communication, interpersonal, and presentation skills, with the ability to collaborate effectively with team members, clients, and external partners.

• Strong analytical skills, systemic thinking, and reasoning, with an attention to detail.

• Ability to work independently and manage multiple priorities in a fast- paced environment.

• Must be flexible and able to respond to service calls for criticalissues during, and beyond, working hours.

Qualification:

• WSQ Workplace Safety and Health Management in Construction Industry - WSHM-CI, formerly BCSS.

• WSQ Manage Work at Height Course (MWAH).

• Possession of a Class 3 license is a must.

Residency Requirement:

• The candidate must be based in Singapore, as this role requires 24/7 standby availability.

Duration: 3 months
Location: Bugis
Working Hours: Monday - Friday 8.30am to 5.30pm

Responsibilities:

• Conduct data collection for e-invoicing requirements through customer calls, emails, and occasional on‑site visits.
• Perform data mapping, validation, and cleansing to ensure accuracy and readiness for mass data uploads.
• Support the Customer Support team by managing recurring customer enquiries and providing timely resolutions.
• Collaborate cross‑functionally to ensure data completeness, service excellence, and smooth execution of operational tasks.

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.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Well Established Company
IT Industry
Salary: $2300 - $2400
Working location: East Area
Working hours: Monday - Friday, 9am - 6.30pm

Job Responsibilities:

• Handle general administrative tasks and office operations

• Prepare and maintain reports, documents, and records

• Support day-to-day office activities and coordination

• Maintain organized and up-to-date administrative systems
  
  
  

Requirements:

• Prior experience in administrative roles in a similar IT industry is a plus

• Proficient in Microsoft Office (Word, Excel, Outlook)
  

Candidates are encouraged to apply to this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background
  

We regret that only shortlisted candidates will be contacted.

Barry Ang Ze Xin (Reg No : R26159529)

EA Recruitment Pte Ltd

EA License No: 21C0492

Role Overview

We are looking for a highly skilled Databricks Expert to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate should have deep expertise in Databricks, Spark, and cloud data platforms, with strong experience in building production-grade data solutions.

Key Responsibilities

• Design and implement end-to-end data pipelines using Databricks
• Develop and optimize ETL/ELT workflows using PySpark / Spark SQL
• Work with Delta Lake for data reliability, versioning, and performance
• Build and maintain Medallion Architecture (Bronze, Silver, Gold layers)
• Optimize performance of large-scale data processing jobs
• Integrate data from multiple sources (APIs, databases, files, streaming)
• Implement data quality, governance, and monitoring frameworks
• Collaborate with business teams for data modeling and analytics use cases
• Ensure best practices in CI/CD, code versioning, and deployment

Required Skills & Experience

Job Description & Requirements

You will architect, develop, and test large scale and efficient solutions that provide senior management with the accurate data to make business decisions.

Description:

• Design and implement scalable and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
• Create data products, enabling self-service and predictability by consumer
• Build libraries and frameworks that drive leverage and productivity for the team
• Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence

Requirements:

• BS or MS in Engineering/Computer Science
• 6+ years software engineering, including strong SQL and data focus
• Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka, Docker, Iceberg
• Ability to analyze complex datasets and design solutions with quality and efficiency
• Familiarity with SDLC best practices, version control, CI/CD
• Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage
• Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g. Kubernetes)