Data Modeller

  • Contract
  • Melbourne, Victoria
  • AU$950 - AU$1100 per day USD / Year
  • Salary: AU$950 - AU$1100 per day

Get recognition and reward working with this a pioneering industry leader, as they embark on a transformative journey! We are currently seeking a passionate Data Modeller for an exciting 12-month contract opportunity within their highly respected Technology team. This pivotal role demands a seasoned professional with robust expertise in crafting Conceptual, Logical, and Physical Data Models. Ideal candidates will showcase a proven track record in designing expansive data models tailored to diverse lines of business. Embrace the chance to innovate and drive forward-looking solutions using agile methodologies, microservices, and seamless integrations across multiple applications and services. This is your opportunity to make a profound impact in shaping the future of data architecture with a leader in the field.

Responsibilities;

  • Develop and design project data models that meet organizational needs and is aligned to Enterprise information model using conceptual, logical, and physical data models
  • Partner with platform architects, data scientists, and analytics professionals to establish a data modeling vision that will drive our success
  • Expand the vision for modeling and continuously identify ways to enrich data
  • Lead and manage data modeling efforts for a new Azure data and analytics platform
  • Ensure consistency, understanding, ease of use, and performance of data by applying and enhancing best practices and standards for data modeling
  • Work with data governance and quality teams to incorporate processes into models
  • Lead workstreams with cross-functional agile teams that include data scientists, data engineers, analysts, and product managers

Ideally you will have;

  • Relational, NoSQL and data lake technologies. Azure SQL, Azure Synapse, Delta Lake preferred
  • Comprehensive logical and physical data modeling for analytics and applications
  • Strong knowledge and experience with data engineering practices
  • Modes of visual interaction and information consumption, including data discovery, guided analytics, static reporting, and embedded analytics
  • Types of data analysis including, descriptive, diagnostic, predictive, and prescriptive analysis
  • 3-5 years of hands-on experience with multiple data modeling techniques, including Data vault logical, dimensional, and physical data modeling
  • 3-5 years of hands-on experience in data engineering roles, moving data from raw to curated to consumption layers.
  • Data domain and modeling experience in credit, lending, or financial services preferred
  • Experience in creating data platforms across multiple technologies, including Microsoft technologies
  • Strong understanding of Microsoft BI Suite, Power BI and ETL/ELT technologies and its architecture.

Mane Consulting specialise in Data & Analytics. For more information on this role or others like this in the market apply below or contact Mark.cornwel-smith @mane.com.au

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