This range is provided by Experis Australia. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay rangeA$80.00/hr - A$100.00/hrWe'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 RoleThis 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 ResponsibilitiesDesign, develop and maintain scalable data models across cloud and on-prem platformsBuild, test and support batch and near real-time data flows and pipelinesTranslate business requirements into technical solutions using established data modelling techniquesApply modelling approaches including 3NF, Dimensional Modelling, ER, and Data VaultDeliver Proof of Concepts and working demos for client engagementsCollaborate on delivery engagements and workshops with internal and external stakeholdersLead or mentor junior team members and contribute to capability developmentWork across data architecture, governance, and metadata strategies in large environmentsEnsure technical standards, performance SLAs, and data quality frameworks are maintainedSkills and Experience - MandatoryExperience 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 ArchitectExpertise in Python, Scala, SQL, and shell scriptingStrong background in cloud data platforms (Azure, AWS, GCP, IBM) including tools like Azure Synapse, Cosmos DBExperience building scalable, fault-tolerant services with high availabilityStrong grasp of ETL, data warehousing and BI best practicesPractical experience with Agile, Kanban, or Waterfall project methodologiesConfident presenting to stakeholders and senior leadershipPrevious team leadership or mentoring experienceDegree in Computer Science, IT, or related fieldDesirable SkillsOne 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 productsUnderstanding of modern infrastructure, containerisation, and virtualisationIf the above looks of interest, please make an application and Experis will be in contact.Rowan MollisonSenior Consultant, ExperisManpowerGroup 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-policyExperis Pty Ltd is a wholly owned subsidiary of ManpowerGroup
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