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Lead Data Modeller

Whizdom
Canberra, ACT
A$120-$150 p/h
Information & Communication Technology → Database Development & Administration
Contract
Hybrid

Posted 4 days ago


Seeking a Lead Data Modeller with 3 years of hands-on experience

Job details

Data Modellers are computer systems engineers who design and implement data modelling solutions using relational, dimensional, and NoSQL databases. To ensure success as a data modeller, the position holder should have in-depth knowledge of data warehousing, modelling techniques covering conceptual, logical and physical representations of transactional, analytical and big-data processing systems. as well as expert communication skills. Ultimately, a data modeller should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management

Key duties and responsibilities
The Data modeller will be responsible for, but not limited to:

  • Undertaking work that is moderately complex to complex and/or sensitive in nature, under limited direction, utilising expertise and knowledge within the area of data modelling
  • Analysing and translating business needs into long-term solution data models.
  • Evaluating existing data systems.
  • Working with the development or Agile Delivery team to create conceptual data models and data flows.
  • Developing best practices for data coding to ensure consistency within the system.
  • Employing data modelling techniques to develop analytical solutions and make recommendations to business stakeholders.
  • Establishing sustainable automatic analytical processes.
  • Collaborate with stakeholders and data professionals to identify and support process improvement opportunities within data governance and quality frameworks.
  • Reviewing modifications of existing systems for cross-compatibility.
  • Implementing data strategies and developing physical, conceptual and logical data models.
  • Updating and optimizing local and metadata models.
  • Evaluating implemented data systems for variances, discrepancies, and efficiency.
  • Troubleshooting and optimising data systems.

Essential criteria

1. 3 years of hands-on experience with data modelling. Demonstrated ability to use best practice data modelling methods and suitable data analysis tools and techniques. Expert knowledge of metadata management and related tools. Knowledge of mathematical foundations and statistical analysis. Strong interpersonal skills - understands and manages client expectations to deliver data-driven solutions. Experience with team management. Excellent problem-solving, communication and presentation skills. Proficient in writing technical documentation using appropriate templates/version control. Experience with developing data warehouse, data lake, and enterprise big data solutions within cloud-platforms.

Desirable criteria

1. Bachelor's degree in computer science, information technology, or a similar field. Demonstrated knowledge of Commonwealth frameworks, including ICT frameworks and Resource Management and data storage and warehousing solutions. Certifications or training evidence in Data Modelling.

Contract: ASAP - 30/6/26 with 1 x 12 months extension

Security Required: Baseline Security Clearance required - Ability to obtain NV1

Location - ACT, NSW, NT, QLD, SA, TAS, VIC, WA,Hybrid - Hybrid working arrangements (i.e. a combination of onsite attendance at an office and remote working) will be considered at the discretion of the Hiring Manager.

How to Apply - Please upload your resume to apply. Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification and any other client requested checks

Closing date: Tuesday 15 July 2025 at 9am - Canberra time

Call Joanne Finchett on 0480 002454 or email [email protected] for any further information


About Whizdom

Perth, WA, Australia

This company does not have any further information provided at this time. We encourage you to research the company by searching for them to learn more about the company or role in question before applying.

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