Total 666 Senior Executive data entry job vacancies in Australia

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!

☑ 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

Mon to Fri 9am to 6pm

Salary $2800-$3600+$200+$200

Location: Serangoon

Industry: Oil and gas/Chemical/Valve/Semicond/Industrial

Job Description

• Strong negotiation and relationship building skills
• Pleasant disposition
• No prior experience in electronics industry but in other industry is also welcome
• Basic understanding of electronic product specifications, features, and applications
• Ability to work independently (like making cold calls) and as part of a team in a fast-paced environment.
• Ability to travel in short notice to meet prospectus
• Proficiency in MS office (like excel) and presentation tools
• Strong problem solving skills and active listening ability

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

Key Responsibilities:

- Build and manage data pipelines (batch and real-time) using Databricks / Snowflake

- Implement data ingestion frameworks (API, streaming, batch) for external sources

- Develop data transformation, standardisation, and enrichment pipelines

- Implement data quality checks and CDQ rules within pipelines

- Integrate pipelines with metadata and lineage platforms

- Automate workflows and integrate with ServiceNow for issue management

- Support implementation of data governance controls and audit traceability

- Build reusable data engineering components for scalability

Required Skills:

- Strong hands-on experience in Databricks (Spark, Delta Lake) / Snowflake

- Experience in ETL/ELT pipelines, API integrations, streaming (Kafka/Event Hub)

- Knowledge of data quality frameworks and validation techniques

- Familiarity with data lineage integration and metadata tagging

- Programming skills (Python, SQL, Spark)

- Experience with cloud platforms (Azure / AWS / GCP)

- Understanding of governance integration (Collibra / Atlan / Purview preferred)

Key Responsibilities:

- Define enterprise data architecture and data models (canonical / logical / physical) aligned to DMO strategy

- Design Data Integration Platform (DIP) integrating external sources

- Establish data governance frameworks aligned to DAMA-DMBOK and DCAM

- Architect data lineage, metadata management, and catalog solutions (Collibra / Atlan / Purview)

- Define data quality strategy (CDQ) including rules, monitoring, and remediation workflows

- Integrate governance workflows with ServiceNow (submission, approval, change management)

- Ensure compliance with regulatory requirements (audit, traceability, lineage)

- Define target-state architecture using Databricks / Snowflake / Alteryx ecosystems

Required Skills:

- Strong experience in Data Architecture and Enterprise Data Modelling

- Hands-on experience with Collibra / Atlan / Microsoft Purview

- Deep understanding of DAMA-DMBOK, DCAM frameworks

- Experience in data lineage, metadata management, and governance platforms

- Knowledge of API integration, ETL pipelines, and data ingestion frameworks

- Familiarity with ServiceNow workflows and integration patterns

- Strong stakeholder management and ability to work with DMO / governance teams

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

Job Highlights:

- Overseas Exposure

- Career Growth and Development

- Attractive Salary Package

- Leadership opportunities

- Supportive Environment

- 1 on 1 Coaching

Key Responsibilities:
- Engage with customers: Answer to client inquiries, providing professional and effective solutions to meet their needs.
- Build Strong Relationships: Maintain positive to ensure satisfaction and loyalty.
- Customer Support: Deliver excellent customer service and ensuring they feel valued.
- Drive Processes: Manage and execute service with integrity and efficiency.

Requirements:

- Self-motivated

- Team player

- Ready to Learn attitude

Role Overview

This role leads the architecture, design, and delivery of enterprise-scale data platforms across Data Analytics, Data Warehouse, Data Lake, and Big Data. You will act as the technical authority on data modelling and platform design, while managing and mentoring a data engineering team and engaging closely with clients and senior stakeholders.

This is a hands-on technical leadership role, not a pure people manager or delivery coordinator.

Key Responsibilities

• Lead architecture and implementation of end-to-end data platforms (DW, Data Lake, Analytics, Big Data)
• Design and govern conceptual, logical, and physical data models to ensure performance, scalability, and data integrity
• Own and enforce data modelling standards, governance frameworks, and best practices
• Manage, mentor, and guide a technical team; ensure code quality and architectural consistency
• Translate business requirements into technical designs and data roadmaps
• Oversee project execution across the full SDLC (scope, resources, timelines, delivery)
• Act as technical escalation point for complex or critical issues
• Drive R&D and upskilling in modern data engineering tools and patterns

What We’re Looking For

• 5+ years’ experience in Data Analytics / Data Engineering / Data Warehouse / Data Lake
• Strong leadership or technical management experience
• Expert-level data modelling knowledge (Kimball, Star/Snowflake, Data Vault, 3NF)
• Proven experience delivering enterprise-scale data architectures
• Strong performance tuning and optimisation experience
• Hands-on expertise in SQL & Python (Java/Scala highly valued)
• Solid experience with ETL/ELT, cloud data platforms (Snowflake / AWS / Azure / GCP)
• Strong stakeholder management and client-facing communication skills

Nice to have

• Linux/Unix, Docker, Kubernetes
• Data Governance, Data Quality, MDM experience

This Role Is NOT

• A reporting-only or BI analyst role
• A pure people manager with no technical depth
• A junior data engineering role

Overview
We are looking for a Senior Data Engineer to lead the design and delivery of scalable data platforms across Data Warehouse, Data Lake, and Big Data environments.

Responsibilities

• Lead architecture, design, and implementation of data solutions
• Develop and optimize data models for performance and scalability
• Translate business requirements into technical solutions
• Oversee project delivery, timelines, and technical quality
• Mentor team members and enforce best practices
• Drive data governance and continuous improvement initiatives

Requirements

• 5+ years in Data Engineering / Data Analytics / Big Data
• Strong expertise in data modelling (Kimball, Data Vault, 3NF)
• Proficiency in SQL, Python (Java/Scala is a plus)
• Experience with ETL/ELT, cloud data platforms (AWS/Azure/GCP, Snowflake)
• Exposure to enterprise-scale architecture and delivery
• Strong stakeholder management and leadership experience

Nice to Have

• Docker / Kubernetes, Linux environments
• Data governance, data quality, MDM experience

Data and Ops Technology Executive (Executive / Senior Executive)

Job Purpose

Care Corner is one of the largest non-profit organisations in Singapore, offering a wide spectrum of social and healthcare services to improve the lives of children, youths, families, and seniors in vulnerable situations and from disadvantaged backgrounds. As we undergo digital transformation and build data capabilities, we are establishing a Data and Operations Technology function to drive efficiency, enhance decision-making, and enable staff to focus on high-value service delivery work.

The Data and Ops Tech Executive will play a dual role in building Care Corner's data infrastructure and operational technology capabilities. On the data side, you will support data collection, quality assurance, reporting, and analytics initiatives that enable evidence-based decision-making. On the operational technology side, you will design and implement process automation solutions, digital tools, and workflow optimisations that reduce administrative burden across service operations.

This role requires someone who can bridge technical and operational domains, work effectively with non-technical staff, and balance strategic data projects with hands-on automation work. You will collaborate closely with service leaders, the innovation team, data strategy consultants, and senior management to deliver practical solutions that create measurable impact on both staff experience and service quality.

Roles & Responsibilities

Data Management & Analytics

• Support the implementation of data governance frameworks, including data quality standards, validation processes, and documentation protocols across service operations.
• Coordinate data collection initiatives, ensuring consistent capture of operational and service delivery metrics across programmes.
• Clean, organise, and prepare datasets for analysis, working with Excel, Google Sheets, and basic SQL queries to transform raw data into usable formats.
• Develop and maintain dashboards and reports that track key performance indicators, service outcomes, and operational metrics using tools like Power BI, Looker Studio, or similar platforms.
• Support data analysis projects by conducting exploratory data analysis, identifying trends, and preparing visualisations that inform programme decisions.
• Collaborate with external data strategy consultants on capacity-building initiatives, including data culture assessments and staff capability development.
• Document data processes, maintain data dictionaries, and create user guides that enable service teams to work effectively with data.

Operational Technology & Digital Tools

• Identify, assess, and prioritise automation opportunities across service operations through systematic engagement with frontline staff and programme managers.
• Evaluate and recommend operational technology solutions (software, platforms, digital tools) that address specific workflow challenges or service delivery needs.
• Support the configuration, setup, and deployment of operational technology tools, coordinating with IT where infrastructure or security requirements are involved.
• Create digital forms, templates, and tools that simplify common workflows and reduce manual effort for service delivery staff.
• Conduct testing, troubleshooting, and iterative refinement of automation solutions based on user feedback and performance monitoring.
• Document automation processes and maintain a repository of solutions that can be adapted for use across different service units.
• Monitor the performance and adoption of operational technology solutions, gathering usage data and user feedback to guide improvements.
• Maintain awareness of emerging operational technology trends (AI tools, collaboration platforms, workflow software) and assess their potential applicability to Care Corner's context.

Project Management, Stakeholder Engagement & Change Management

• Develop project plans with clear timelines, deliverables, and resource requirements, ensuring alignment with organisational priorities.
• Coordinate across functions (service teams, IT, innovation squad, external consultants) to ensure smooth project execution and stakeholder alignment.
• Track project progress, identify blockers, and escalate issues appropriately while maintaining clear communication with stakeholders.
• Support in planning and facilitate engagement sessions with administrative staff and service teams to surface data and automation needs, similar to Service Design Intervention formats.
• Support in presenting data insights, automation proposals, and technology recommendations to stakeholders including SMT/PMT for alignment and decision-making.
• Prepare progress reports, impact assessments, and updates for leadership on data and operational technology initiatives.
• Manage multiple concurrent projects across different service units while maintaining quality standards and meeting delivery commitments.

Requirements

Educational Qualifications

• Degree in Information Systems, Data Analytics, Business Analytics, Computer Science, Industrial Engineering, or related field.
• Post-graduate qualifications are not required but may be considered favourably.

Technical Skills

You should have strong hands-on skills in either data analytics or operational technology, with basic familiarity and willingness to build competency in the other domain.

If your strength is data:

• Proficient in Excel for data manipulation and analysis.
• Experience with SQL for querying and preparing datasets.
• Hands-on experience building dashboards and reports using Power BI, Looker Studio, Tableau, or similar tools.
• Familiarity with data cleaning, validation, and quality assurance practices.
• Basic understanding of Power Automate (or willingness to learn).

If your strength is operational technology/automation:

• Proficient in Power Automate for designing and implementing workflow automations.
• Experience building automated workflows and digital forms.
• Understanding of process mapping and identifying automation opportunities.
• Basic data skills in Excel (or willingness to learn SQL and visualisation tools).

Beneficial but not required:

• Python or scripting languages for data/automation work.
• API integration experience.
• Exposure to Agile/Lean methodologies.

Professional Experience

• Minimum 2-3 years of relevant hands-on experience in data analytics, business intelligence, process automation, or operational technology implementation.
• Demonstrated ability to build and deliver technical solutions (dashboards, automations, digital tools) that were actually used by end-users.
• Experience working in environments where you needed to translate requirements from non-technical stakeholders into working solutions as a Technical/Functional Analyst, Project/Program manager.
• Experience in non-profit or social services sector is advantageous but not required.

Core Competencies

• Execution-focused: Comfortable being hands-on and building solutions rather than only planning or strategising. You get satisfaction from making things work.
• Self-directed learner: Able to learn new tools and technologies independently through documentation, tutorials, and experimentation. You don't need formal training for every new platform.
• Clear communicator: Can explain technical work in simple terms, ask clarifying questions when requirements are unclear, and flag issues early rather than struggling silently.
• User-centred builder: Design solutions that work for non-technical staff, prioritising usability and adoption over technical elegance.
• Collaborative: Work effectively with colleagues who have complementary skills, contribute to team problem-solving, and support others' projects when needed.
• Organized: Manage your own task list, meet deadlines, document your work, and keep stakeholders informed of progress without constant oversight.

Personal Attributes

• Patient and empathetic when working with staff who have varying levels of technical comfort.
• Pragmatic problem-solver who delivers working solutions within real-world constraints rather than pursuing perfect solutions indefinitely.
• Comfortable working in a dynamic environment where priorities shift and requirements evolve.
• Genuine interest in using technology and data to improve services for vulnerable populations.

Thank you for your interest and application. We regret that only shortlisted applicants will be notified for interview. If you need assistance, contact our talent acquisition team at joinus@carecorner.org.sg.

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:

• 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