Data Modeller

Mane Consulting; Sydney; On-site; AUD 120,000 - 180,000; Full time

Job summary

Mane Consulting is seeking a passionate Data Modeller for a 12-month contract within their Technology team in Sydney. The role requires crafting Conceptual, Logical, and Physical data models and delivering expansive data models for diverse business lines using Agile, microservices, and multi-application integrations.

Ideal candidates will have hands-on experience with Azure SQL, Azure Synapse, Delta Lake, and the Microsoft BI stack, with 3–5 years of data modeling and data engineering experience

Qualifications

• Experience designing Conceptual, Logical, and Physical data models.
• Strong knowledge of data vault, dimensional, and physical data modeling.
• Experience with Azure data and analytics platforms and Microsoft BI stack.

Responsibilities

• Develop and design project data models 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 modelling vision.
• Expand the modeling vision and identify ways to enrich data.
• Lead data modeling for a new Azure data and analytics platform.
• Ensure data performance and consistency by applying best practices and standards.
• Collaborate with data governance and quality teams to incorporate processes into models.
• Lead cross-functional agile workstreams with data scientists, data engineers, analysts, and product managers.

Skills

Data modelling

Agile development

Cross-functional collaboration

Data governance

Data quality

Data analysis

Tools

Azure SQL

Azure Synapse

Delta Lake

Power BI

ETL/ELT

Job description

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.