Total 650 Senior Executive data entry job vacancies in Australia

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

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.

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

About the Role

We are seeking a motivated Marketing Executive to join our growing team. You will assist in campaign planning, support events, and engage directly with customers to build brand awareness. This is an excellent opportunity for fresh graduates to gain hands-on experience in sales and marketing.

Responsibilities

• Assist in planning and executing marketing campaigns
• Support events, promotions, and customer engagement activities
• Monitor campaign performance and report results
• Coordinate team roles when required

Requirements

• Strong interpersonal and communication skills
• Positive attitude, willingness to learn, and ability to work in a fast-paced environment

What We Offer

• Structured training and mentorship
• Career progression opportunities into senior marketing roles
• Performance incentives and recognition
• Regional exposure and event opportunities

Interested? Apply today and join us!

Marketing Executive (Entry Level / Fresh Grads Welcome)

Event-Based Marketing | Training Provided | Fun & Supportive Team

About the Role
We are a Singapore-based marketing team representing brands through on-ground events and promotions.
We work with lifestyle, tech, F&B and service brands, helping them increase outreach and customer engagement across various event locations in Singapore.

If you enjoy interacting with people, building confidence, and being part of a motivated team — this role provides hands-on experience, personal development, and room to grow.

What You’ll Be Doing

• Represent brands at event sites and roadshows
• Engage customers and share product/service information
• Support event setup and execution
• Collaborate with the team to improve marketing approaches
• Maintain a positive and professional brand image

What You’ll Gain

• On-the-job coaching & mentorship
• Communication & leadership development
• Opportunities to take on team responsibilities as you grow
• Exposure to different campaign environments
• A fun and energetic work culture

(Note: This is an on-site, event-based role — not an office desk job.)

Requirements

• Enjoys meeting people and working in a team
• Positive learning attitude & self-driven
• Good communication skills are an advantage (training provided)
• Students / Fresh graduates encouraged to apply

Working Arrangement

• Full-time, in-person role (various event locations across SG)
• Training provided — no experience required

Job Types: Full-time, Permanent, Fresh graduate

Pay: $3,000.00 - $5,800.00 per month

Job Highlights:

• Uncapped Monthly Commission

• Structured training and mentorship

• Good Company Benefits - Annual Leave, Festive Leave, Birthday Leave, Company Trip

Key Responsibilities:

• Manage full-cycle recruitment: sourcing, screening, interviewing, and shortlisting candidates
• Work closely with the Business Development Team to understand client's hiring needs and requirements
• Drive sales results by matching candidates effectively and closing placements
• Handle job postings, candidate pipelines, and interview coordination
• Maintain accurate records in the CRM

What We’re Looking For

• Sales-driven personality with strong motivation to hit targets

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.

Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

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

**We regret to inform that only shortlisted candidates would be notified.

https://www.mci.com.sg/wp-content/uploads/2025/09/MCI-Job-Applicant-Data-Protection-Notice.pdf

Ng Zi Ying

CEI Registration Number: R25154197

EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

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

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

Role Overview

We are looking for an experienced Senior Data Engineer to build scalable, secure, and high-performing data solutions that support digital transformation and data-driven decision-making. In this role, you will design and maintain data pipelines, data models, and data warehouse solutions while working closely with business users, IT teams, and data stakeholders across complex technology environments.

Job Responsibilities

• Translate business data requirements into technical specifications.
• Collaborate with IT teams on technology stack, infrastructure, and security alignment.
• Design and build data ingestion pipelines to collect, clean, merge, and harmonize data from multiple source systems.
• Monitor databases and ETL systems, including capacity planning, maintenance, performance tuning, and issue prevention.
• Construct, test, and maintain reusable data models based on end-user requirements.
• Design and build secure mechanisms for users and systems to access data from the data warehouse.
• Research, propose, and develop new technologies and processes to improve data infrastructure.
• Work with data stewards to establish and enforce data governance policies, best practices, and procedures.
• Maintain data catalogue, metadata, and data lineage documentation.
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Implement data security best practices, including access control, encryption, and data masking.

Job Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, or related disciplines.
• Strong understanding of system design, data structures and algorithms, data modelling, data access, and data storage.
• Hands-on experience with cloud technologies such as AWS, Azure, or Google Cloud.
• Experience with Databricks.
• Experience in designing, building, and maintaining batch and real-time data pipelines.
• Experience with orchestration frameworks such as Airflow or Azure Data Factory.
• Proficient in Python, Shell Scripting, and SQL.

Preferred Requirements

• Familiarity with CI/CD pipelines.
• Familiarity with DevOps tools such as Docker, Git, and Terraform.
• Experience implementing technical processes for data security, data quality, and data governance.
• Familiarity with government systems and policies relating to data governance, data management, data infrastructure, and data security will be an advantage.
• Experience in Climate and Weather domains will be an added advantage.

Contributes to the development of new analytics tool, software, and approaches, including the design, development, troubleshooting and debugging.

  *   Ongoing maintenance, update and support of the existing programming and analytic tools

  *   Develop, implement and maintain server and database infrastructure, hardware and software to ensure maximum tool uptime and performance.

  *   Execute end-to-end data processing workflows, ensuring data is accurately ingested, cleaned and structured across corporate systems.

  *   Manage and monitor data flows between current and future infrastructure components to maintain data integrity and consistency.

  *   Analyze processed data to uncover trends, patterns and operational performance metrics using statistical techniques.

  *   Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives

  *   Leads and /or provides expertise to functional project teams and may participate in cross-functional initiatives.

The requirements:

  *   5 years of hands-on experience in data engineering and analytics

  *   Strong skills in statistical tools and programming languages such as Python, R, etc.

  *   Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.

  *   Proficiency in SQL for data extraction and manipulation.

  *   Attention to detail and a commitment to data accuracy.

  *   Proactive approach to identifying issues and providing solutions.

  *   Strong analytical and problem-solving skills. Ability to analyze complex datasets and translate data into actionable insights.

  *   Ability to present complex information in an understandable and compelling manner.

  *   Excellent written and verbal communication skills

  *   Ability to work independently and collaboratively as part of team

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

Role Overview
We are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment (CI/CD) and Site Reliability Engineering (SRE) practices.

As a forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.

As a Senior Data Engineer, you will be working on:

•      Translate data requirements from business users into technical specifications.

•       Collaborate with partner agency’s IT teams on technology stack, infrastructure and security alignment.

•      Build out data product as part of a data team:

•      Architect and build ingestion pipelines to collect, clean, merge, and harmonize data from different source systems.

•       Day-to-day monitoring of databases and ETL systems, e.g., database capacity planning and maintenance, monitoring, and performance tuning; diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime;

•       Construct, test, and update useful and reusable data models based on data needs of endusers.

•       Design and build secure mechanisms for end users and systems to access data in data warehouse.

•       Research, propose and develop new technologies and processes to improve agency data infrastructure.

•       Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures.

•      Maintain data catalogue to document data assets, metadata and lineage.

•       Implement data quality checks and validation processes to ensure data accuracy and consistency.

•      Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data.

What we are looking for:

• A Bachelor’s Degree, preferably in Computer Science, Software Engineering, Information Technology, or related disciplines.

• Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage.

• Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud.

• Experience with Databricks.

• Experience in designing, building, and maintaining batch and real-time data pipelines.

• Experience with orchestration frameworks such as Airflow, Azure Data Factory.

• Proficiency in working with Python, Shell Scripts, and SQL.

Preferred requirements:

• Familiarity with building and using CI/CD pipelines.

• Familiarity with DevOps tools such as Docker, Git, Terraform.

• Experience with implementing technical processes to enforce data security, data quality, and data governance.

• Familiarity with government systems and government's policies relating to data governance, data management, data infrastructure, and data security.

• Experience in Climate and Weather domains will be an advantage.

Interested candidates, please send your CVs on nabilah.azman@tg-hr.com

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

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

COMPANY DESCRIPTION

THKMC was incorporated on 13 October 2011 as a charity to provide multiple social and welfare services to the community at large, and achieved an Institute of Public Character (IPC) status on 18 November 2011. THKMC is the charitable arm of Thye Hua Kwan Moral Society, which lives by the mission - To Serve Mankind - to help anyone who needs help regardless of their race, religion, colour, language, creed and culture. THKMC today serves more than 70,000 beneficiaries through more than 70 programmes across five Services, which include Disability, Early Intervention for Children, Family, Seniors' Community, and Therapy.

RESPONSIBILITIES

Job Responsibilities

• Write and maintain programs and tools to collect, clean, combine, and organise numerical and text-based data used by social service organisations.
• Create programs that automatically produce management and audit reports on a regular schedule.
• Build interactive charts, graphs, infographics, and posters using code and web development tools.
• Design, launch, and maintain dashboards and data applications, keeping all code organised and up to date.
• Use statistical methods to analyse numerical and descriptive data from the social service sector.

Qualifications

• Diploma or degree in computer science, software engineering, information systems, data engineering, or related fields.
• Proficiency in at least one general-purpose programming language and associated ecosystem such as Python, SQL, JavaScript, or similar tools for building data solutions.
• Hands-on experience with data visualisation, dashboarding, and application tools such as Power BI or Tableau
• Experience with at least one quantitative analysis software such as SPSS, STATA, R and/or similar tools.

THK Family Service Centres (FSCs) have played a pivotal role as essential community hubs, offering social services to families grappling with psycho-social challenges. Thye Hua Kwan Moral Charities currently manages five FSCs strategically located in Jurong West, Bukit Panjang, Tanjong Pagar, MacPherson and Bedok North.

Job Responsibilities:

• Lead and drive the full data engineering lifecycle, including architectural design, conceptualization, data modeling, implementation, and operational management of complex data systems.
• Architect, build, and maintain robust, highly scalable data infrastructure, including real-time and batch ETL/ELT data pipelines, utilizing orchestration tools like Apache Airflow.
• Drive the development and continuous improvement of the organization's lakehouse and data warehouse by designing advanced data models and applying modern data transformation practices with tools like dbt.
• Design and automate scalable data processes by integrating diverse systems, APIs, and third-party services to ensure fault-tolerant data flow and synchronization.
• Define and enforce best practices for data governance, quality, and lineage, while establishing comprehensive monitoring and alerting frameworks to ensure system reliability at scale.
• Partner with cross-functional technical and business teams to translate complex business requirements into scalable technical specifications and robust production-ready solutions.
• Architect, deploy, and maintain internal automation solutions and data products. Integrating AI or machine learning components into these solutions to drive efficiency is a strong plus.
• Mentor junior data engineers, conduct code reviews, and provide technical leadership to elevate the team's data engineering practices.
• Any ad hoc duties as assigned.

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field is preferred.
• Proven track record and deep understanding of software engineering principles, scalable system architecture, and object-oriented design, with significant experience building enterprise-grade data applications will be a bonus.
• Expert-level proficiency in Python, including extensive experience with data manipulation libraries (e.g., Pandas, NumPy) and frameworks for web scraping (e.g., Selenium). Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Advanced experience designing and deploying complex data pipelines using workflow orchestration tools like Apache Airflow.
• Deep expertise with data transformation tools like dbt and a mastery of modern ETL/ELT design patterns.
• Extensive experience with advanced data modeling techniques (conceptual, logical, physical) and data warehouse schemas (e.g., Star, Snowflake) for large-scale datasets.
• Significant hands-on experience and architectural knowledge of cloud platforms (GCP, AWS, or Azure).
• Highly proficient in SQL with extensive experience in designing, tuning, and optimizing relational databases and modern cloud data warehouses (e.g., BigQuery, Redshift, Snowflake).
• Strong practical experience with containerization (Docker, Kubernetes) and designing robust CI/CD pipelines.
• Experience in building AI agents, implementing GenAI solutions in production (AIOps), or developing solutions using Generative AI frameworks (e.g., ADK, LangChain, LlamaIndex) is a advantages.
• Excellent communication and leadership skills, with the ability to articulate complex technical concepts clearly to diverse stakeholders and executive teams.
• A highly proactive and analytical approach to solving complex problems, combined with meticulous attention to detail.
• Strong sense of ownership and autonomy, with a proven ability to independently lead major technical initiatives, manage complex projects, and deliver high-impact results.