We're currently seeking an experienced data modeller to join a highly skilled data and analytics team working on cutting-edge enterprise solutions. This is an exciting opportunity to deliver advanced data models, scalable architectures, and high-performance pipelines across cloud and on-prem environments.

In this role, you'll collaborate with cross-functional teams, lead technical delivery, and help shape the future of data platforms, governance, and architecture for major clients.

About the Role

This is a hands-on role focused on designing, implementing, and maintaining advanced data models and end-to-end pipelines. You'll help define data structures and architecture across various platforms, enabling high-quality analytics, machine learning, and business intelligence solutions.

The successful candidate will bring a deep understanding of data architecture, big data ecosystems, and modern cloud platforms, combined with strong communication and leadership skills.

Key Responsibilities

• Design, develop and maintain scalable data models across cloud and on-prem platforms
  
• Build, test and support batch and near real-time data flows and pipelines
  
• Translate business requirements into technical solutions using established data modelling techniques
  
• Apply modelling approaches including 3NF, Dimensional Modelling, ER, and Data Vault
  
• Deliver Proof of Concepts and working demos for client engagements
  
• Collaborate on delivery engagements and workshops with internal and external stakeholders
  
• Lead or mentor junior team members and contribute to capability development
  
• Work across data architecture, governance, and metadata strategies in large environments
  
• Ensure technical standards, performance SLAs, and data quality frameworks are maintained
  

Skills and Experience - Mandatory

• Experience designing and implementing data models for Big Data / DWH platforms (Star and Snowflake schemas)
  
• Familiarity with data model products such as IFW, BDW, or FSDM (IBM, Teradata)
  
• Strong proficiency in tools like Erwin and Sparx Systems Enterprise Architect
  
• Expertise in Python, Scala, SQL, and shell scripting
  
• Strong background in cloud data platforms (Azure, AWS, GCP, IBM) including tools like Azure Synapse, Cosmos DB
  
• Experience building scalable, fault-tolerant services with high availability
  
• Strong grasp of ETL, data warehousing and BI best practices
  
• Practical experience with Agile, Kanban, or Waterfall project methodologies
  
• Confident presenting to stakeholders and senior leadership
  
• Previous team leadership or mentoring experience
  
• Degree in Computer Science, IT, or related field
  

Desirable Skills

• One or more industry-recognised certifications (e.g. Azure Data Engineer, AWS Big Data, GCP Professional Data Engineer)
  
• Knowledge of Data Mesh architecture and domain-driven data products
  
• Understanding of modern infrastructure, containerisation, and virtualisation
  

If the above looks of interest, please make an application and Experis will be in contact.

Rowan Mollison
Senior Consultant, Experis

ManpowerGroup is committed to being a Diversity Confident Recruiter and encourages applications from people from a diverse range of backgrounds, including people with a disability. Please indicate your preferred method of communication in your resume and please let us know if you require any reasonable adjustments should you be contacted for an interview.

Aboriginal and Torres Strait Islander people are encouraged to apply.

By submitting your resume and other personal information with this application you are consenting to this information being collected in line with our privacy policy. Follow the link to learn more - www.manpowergroup.com.au/privacy-policy

Experis Pty Ltd is a wholly owned subsidiary of ManpowerGroup

State: QLD, licensee/s Manpower Services (Australia) Pty Ltd, LHL-02026-D5L4Q. State: QLD, licensee/s Experis Pty Ltd, LHL-02014-Y5F6D. State: SA, licensee/s Manpower Services (Australia) Pty Ltd, LHS 288856