Data Modeller – Data Vault

SUMMARY

Join an established data modelling function to work on several key projects.

Utilising your strong data modelling skills and experience working within the Data Vault 2.0 methodology. You will work closely with Data Architects, Data Engineers and Business Analysts to design and develop data models as part of complex internal data uplift projects.

Key Responsibility Areas

  • Design and implement data models that support business analytics initiatives.
  • Collaborate with business analysts, data engineers, and technical leads to understand business requirements and translate them into data models.
  • Develop and maintain conceptual, logical, and physical data models.
  • Use industry-standard data modeling techniques and best practices.
  • Ensure data models are aligned with the organisation’s data governance and management policies.
  • Develop and maintain data quality checks and reconciliation processes.
  • Test and deploy data models.
  • Provide support to data analysts and data scientists.

Qualifications

  • 5+ years of experience in data modelling.
  • Strong understanding of data modeling principles and techniques.
  • Experience with cloud-based data platforms.
  • Experience across Data Vault 2.0
  • Experience working with the Erwin
  • Excellent communication and problem-solving skills.

If you are a highly motivated and experienced data modeller who is looking for a challenging and rewarding opportunity, we encourage you to apply for this position. We look forward to hearing from you!

To be considered for this role, you must be Australian Citizen

If this position is of interest to you, please click ‘Apply’ or you can just send your details to raed@konnexuscg.com.au or call Raed on 0432085020

Konnexus specialise in the recruitment of permanent and contract professionals within Data Analytics | AI/ML | Data & Platform Engineering. If this role is not right but you are wanting a new position please update your resume through our website https://konnexuscg.com.au/

SUMMARY

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