Total 662 Senior Executive data entry job vacancies in Australia

About the role

This is an exciting entry-level opportunity to join the Sales and Events Marketing team at Axiom Marketing Group in the Raffles Place Central Region. As a Sales and Events Marketing Specialist, you will be responsible for driving sales growth through the implementation of innovative marketing strategies and the delivery of engaging events. This is a full-time position.

What you'll be doing

Developing and executing targeted sales and marketing campaigns to promote the company's products and services

Organising and managing high-impact events, conferences, and exhibitions to generate leads and enhance brand visibility

Building and maintaining strong relationships with key clients and industry stakeholders

Providing excellent customer service and support to ensure a positive experience for all clients

Collaborating with cross-functional teams to align sales and marketing efforts and achieve overall business objectives

What we're looking for

Excellent communication and interpersonal skills with the ability to engage and influence clients

Strong organisational and project management abilities to deliver successful events and campaigns

Demonstrated creative and analytical thinking to develop innovative sales and marketing strategies

Passion for the sales and marketing industry and a keen interest in staying up-to-date with market trends

Relevant undergraduate degree or equivalent experience in sales, marketing, or a related field

MRI-Simmons is seeking an Automation Engineer with hands-on ability in designing, developing, and implementing automated tests using Playwright for our web applications. The ideal candidate will be comfortable collaborating with cross-functional teams to ensure quality and reliability of all application features/functions.

• Test Automation Development: Design, develop, and maintain automated test scripts using Playwright to validate the functionality of web applications.

• Test Planning: Collaborate with QA analysts and developers to understand requirements and develop comprehensive test plans and strategies.

• Execution and Reporting: Execute automated test scripts, analyze test results, and report defects using appropriate tools and methodologies.

• Continuous Integration: Integrate automated tests into CI/CD pipelines for continuous testing and deployment. • Test Framework Maintenance: Maintain and enhance the test automation framework to improve efficiency, reliability, and scalability.

• Code Reviews: Participate in code reviews to ensure test scripts are well-written, efficient, and follow coding best practices.

• Documentation: Create and maintain technical documentation related to test automation processes, frameworks, and scripts.

• Collaboration: Work closely with developers, QA analysts, and other stakeholders to identify testing requirements and ensure timely delivery of high-quality software.

• MNC Company
• Basic $3000 - $3500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Kallang
• Working day: Monday to Friday
• Working hours: 9am to 6.15pm

Job Responsibilities:

• Opportunity: A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance
• Role: Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and company own software
• Objective: Not just updating existing data, but using it to guide sales direction and actions
• Additional Responsibilities: In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
• Other ad hoc duties as assigned

Job Requirements:

• Minimum Bachelor's Degree in Marketing, Business and Engineering or related field
• Proficiency in Excel. Knowledge of Modern Excel, PBI, Power Automate is a plus.

Candidates are encouraged to apply 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.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Location: Paya Lebar / Punggol Digital District / Mapletree Business City

Working Hours: Office Hours

6 Months Contract

Job Description:

• Lead and implement data engineering strategy and architecture blueprints in alignment with business requirements.
• Contribute to evaluation of data platforms and architecture solutions to support evolving data needs. E.g. Data storage / usage for AI purposes.
• Translate business data requirements into technical specifications and scalable solutions.
• Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from diverse sources.
• Design and implement secure, cloud-based data infrastructure and access mechanisms.
• Monitor and optimize ETL systems and databases for performance, reliability, and scalability.
• Construct reusable data models and maintain data catalogues with metadata and lineage using tools such as ER/Studio.
• Collaborate with data stewards to enforce data governance, quality, and security policies.
• Guide agencies through greenfield and brownfield implementations, from problem definition to solution design.
• Develop standardized approaches for assessments, discovery, and solutioning grounded in best practices.
• Champion engineering excellence and influence adoption of modern data and infrastructure practices.

Requirements:

• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related disciplines.

• 5-10years of experience in data engineering, cloud infrastructure, or platform engineering.
• Deep understanding of data system design, data structures, algorithms, and data architecture modelling.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (Spark, Hadoop).
• Proficiency in Python and SQL.
• Experience with orchestration frameworks (Airflow, Azure Data Factory) and DevOps tools (Docker, Git, Terraform).
• Familiarity with CI/CD pipelines and infrastructure-as-code practices.
• Experience with Databricks / Snowflake / Denodo and implementing batch/real-time data pipelines.
• Strong knowledge of data governance, security, and privacy (especially in public sector contexts).
• Exceptional communication and stakeholder management skills.
• Proven ability to mentor and develop future technical leaders.

EA License No.: 96C4864

Reg No.: R25128798 HUANG QIMENG

Job Description

We are looking for a full-time Project Executive to lead and manage a large-scale AI voice data collection project focused on Southeast Asian languages (Bahasa Melayu, Thai, Indonesian).

This role is responsible for end-to-end project execution, including team coordination, quality control, and delivery management to meet client requirements.

Key Responsibilities

· Manage daily operations of AI voice data collection projects

· Coordinate and supervise team leads and part-time contributors

· Ensure all collected data meets quality standards and project specifications

· Monitor project progress and ensure timely delivery of milestones

· Provide training and guidance to team members on recording standards and QC requirements

· Act as the main point of contact between internal teams and external stakeholders

· Track performance metrics and continuously improve operational efficiency

Requirements

· Bachelor’s degree in any discipline

· Prior experience in operations, project management, or data collection projects preferred

· Ability to manage large teams and coordinate multiple stakeholders

· Strong organizational and communication skills

· Ability to communicate in Mandarin is an advantage, as the role may involve

supporting communication with Mandarin-speaking stakeholders who are not

proficient in English.

· Familiarity with Southeast Asian languages (Bahasa Melayu, Thai, Indonesian)

is an advantage as the project involves voice data collection in these languages.

· Detail-oriented with strong problem-solving skills

Employment Details

· Full-time position based in Singapore

· Monthly salary: SGD 3,500 – 5000 (depending on experience)

· Standard working hours, with flexibility during peak project periods

How to Apply

If you are interested in this position, please send your resume to
�� keddy@goglobalhr.com
Only shortlisted candidates will be notified.

Job Responsibilities:

• Support clinical departments in identifying and applying data analytics for operational insights
• Assist in analysing financial and operational data to support decision-making
• Prepare regular reports on performance, workload trends, and service impact
• Develop and maintain dashboards and templates for reporting and analysis
• Extract, transform, and analyse data from various sources
• Support creation and optimisation of service and charge codes
• Monitor performance metrics and track outcomes of initiatives
• Automate reporting processes and improve data workflows where possible
• Collaborate with stakeholders to provide insights and recommendations
• Perform other duties as assigned

Requirements:

• Degree in Accounting, Finance, Business, Data Science, Statistics, or related field
• Proficient in SQL, Python, and Microsoft Excel (advanced level)
• Experience with data visualisation tools such as Tableau or similar platforms
• Strong analytical and problem-solving skills

Interested candidates are invited to email your resume to:

jen.ooi@recruitexpress.com.sg
Jenalyn Ooi Huai Sian (R1765551)
Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, reporting, and data-driven decision-making. The successful candidate will work closely with data scientists, analysts, and application teams to ensure reliable, secure, and high-performing data solutions across the organisation.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and ETL/ELT workflows for structured and unstructured data
• Architect and manage data warehouses, data lakes, and data marts to support analytics and reporting needs
• Optimize data models for performance, scalability, and reliability
• Ensure data quality, integrity, governance, and security standards are met
• Collaborate with business stakeholders, data scientists, and analysts to translate requirements into technical solutions
• Lead troubleshooting and performance tuning of data pipelines and platforms
• Implement monitoring, logging, and alerting for data workflows
• Mentor junior data engineers and provide technical guidance on best practices
• Contribute to architecture discussions, technical standards, and documentation

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
• Minimum 5–8 years of hands-on experience in data engineering or related roles
• Strong proficiency in SQL and data modelling
• Solid experience with ETL/ELT frameworks and data orchestration tools
• Proven experience building and maintaining large-scale data platforms
• Strong analytical, problem-solving, and communication skills
• Ability to work independently and collaborate within cross-functional teams

Technical Skills (Preferred)

• Programming experience in Python, Java, or Scala
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience with data warehousing technologies (e.g. Snowflake, BigQuery, Redshift)
• Familiarity with big data technologies (e.g. Spark, Hadoop, Kafka)
• Experience with CI/CD, version control (Git), and Infrastructure as Code (IaC)
• Knowledge of data governance, security, and compliance standards
• Experience working in Agile / DevOps environments

Nice to Have

• Exposure to data visualization or BI tools (e.g. Power BI, Tableau)
• Experience supporting machine learning or advanced analytics workloads
• Prior experience in regulated or large enterprise environments

Work location: Downtown
Working hours: Monday to Friday office hours
Salary: up to $4500 per month

3 months contract (subject to extension)

Job Scope:

• Digital Operations Management:
• Execute daily website content uploads, updates, and maintenance
• Process content update requests from internal teams and external stakeholders
• Coordinate event approval workflows ensuring compliance with established criteria and standards
• Conduct comprehensive quality assurance checks on all files and content before publication
• Monitor published content for accuracy, consistency, and currency of information
• Analytics and Performance Reporting:
• Extract and compile key performance metrics for weekly target performance reports with accurate data delivery to stakeholders
• Support trend analysis to identify patterns and insights from performance datasets
• Collaborate with marketing teams to put together reports for campaign performance and funnel analysis

Requirements:

• Minimum Diploma in any field
• At least 3 years of experience in related fields
• Basic data analytics capabilities
• Proficiency in spreadsheet software (Excel, Google Sheets) and CSV file management
• Strong written and verbal communication skills for effective stakeholder coordination
• Meticulous attention to detail for quality assurance and data accuracy
• Adaptability and learning agility to master new digital tools and evolving requirements
• Problem-solving skills for troubleshooting content and data inconsistencies

Interested applicants please apply or email your CV to nadirah.hirwandy@tg-hr.com

SINGAPOREANS ONLY

Job Description:

* Design, develop, create, testing and maintain data pipeline ETL solutions to meet business, technical, user requirements.

* Collect and refine new data set. Maintain comprehensive documentation and data mapping across multiple systems.

* This role will involve creating scalable and optimized data models, ensuring they are aligned with best practices and organization's data architecture standards.

* Perform code review and testing.

* Drive optimization, testing to improve data quality and review solution design for data pipelines

* Ensure that proposed solutions are aligned and conformed to the big data architecture guidelines and roadmap.

* Ensure the reliability and accuracy of the data being processing is crucial. The engineer will establish robust monitoring, logging, and alerting to track pipelines' performance and data quality.

* Adopt the best data engineering practices to design and build reliable data marts in the Hadoop ecosystem for planning, reporting and analytics.

* Collaborate with cross-functional teams, such as stakeholders, data scientists and data analysts to align the logics of key metrics, and to ensure code logics correctly reflects latest business definitions.

* Maintain and optimize data pipelines to ensure all data are up to date with data accuracy and integrity.

* All code must be stored in a central repository with clear branching strategies and well documented commit messages.

* Work across various stakeholders to ensure smooth production deployment of data pipeline and adherence to data governance policies.

* Proactively identify and suggest solutions to improve data engineering process.

* Architect end-to-end solution for insurance data modelling in data warehouse and work with data engineering team on acquiring of data, contextualizing data for business analytics and integrating of product with business process and implementing insurance data modelling.

* Business process owner for onboarding business users and data products onto data platform and the data pipelines that feeds into dashboards or statistical model

Mandatory Skillset:

10+ Years of experience in Data related projects

Strong proficiency in Python, Hadoop, Hive, Spark, CDP

Good experience in Insurance or Banking domain is added advantage

User handling experience as this position require the individual to work with Business users directly

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

Are you looking for a dynamic, people-focused environment where you can kickstart your career and build valuable business skills?

We specialise in developing individuals into confident sales and marketing professionals through hands-on experience, structured training, and mentorship.

As an Entry-Level Sales & Marketing Executive, you’ll gain real-world exposure by working at events, roadshows, and on-ground campaigns, representing reputable brands while building essential communication and leadership skills.

No experience required — full training provided.

• Process settlement for local & foreign equities and OTC products

• Verify and reconcile dealing tickets and incoming trade confirmations.

• Resolution of unmatched trade positions and settlement failures.

• Liaise with institutional clients, banks, brokers and liquidity provider on trade settlement issues.

• Ensure accuracy and timeliness of trade validation, settlement, reconciliation, control checks, investigation, and exception handling are being performed

• Take ownership of the markets assigned and act with a sense of urgency

• Proactively seek for opportunities to identify gaps and enhance operational workflow.

• Ad hoc duties as assigned

Interested candidates, please email your resume to annasee@recruitexpress.com.sg

Anna See Sing Yee

CEI Reg R25157535

Recruit Express Pte Ltd

EA License No: 99C4599

We regret that only shortlisted candidates will be contacted