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Data Modeller

  • Location: Sydney
  • $‎ Salary: AU$900 - AU$1100 per day + (including super) per day
  • Job Type:Contract

Posted about 1 month ago

  • Sector: Financial Services
  • Contact: Karim Ben-Romdhane
  • Duration: 12 months
  • Start Date: ASAP
  • Expiry Date: 03 December 2023
  • Job Ref: JN -022021-456974

Data Modeller

Rate: $900-1100 per day including super/excluding GST
Duration: 12 months with extensions
Start: ASAP
Location: Sydney

Our client us currently going through a major transformation initiative and has kicked off a number of data programs to assist in the delivery of the transformation.


  • Work with data architect, tech BA, data engineers and business stakeholders to understand and analyze data requirements, and design and implement data models that meet those requirements.
  • Develop, educate, and embed good data modelling and data asset governance practices
  • Develop and maintain conceptual, logical, and physical data models that reflect the organization's data landscape.
  • Ensure that data models are consistent with industry standards, are scalable, and can support business needs.
  • Collaborate with data engineers to ensure that data models are implemented efficiently and effectively in data storage systems.
  • Perform data analysis and profiling to ensure data quality and consistency, and to identify opportunities for data optimization and performance improvement.
  • Stay up to date with industry trends and best practices related to data modeling and make recommendations for improvements to the organization's data architecture and design.
  • Provide technical leadership and guidance to data engineers.

Required Experience

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years of experience in data modeling or related fields.
  • Proficient in data modeling tools and techniques, including ER modeling, dimensional modeling, and data normalization.
  • Experience in large technical requirements gathering and analysis.
  • Experience with SQL and database management systems, as well as ETL processes.
  • Familiarity with cloud-based data platforms such as AWS Aurora, AWS Redshift, Snowflake, or Azure.
  • Excellent communication and collaboration skills, and ability to work effectively in a team environment.
  • Experience in Financial Services Industry is highly advantageous.

Please submit your CV asap and I will get back to you with more details if suitable.