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
Solid 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.
#J-*****-Ljbffr

📌 Data Modeller (New South Wales)
🏢 Mane Consulting
📍 New South Wales