Data Modeller

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.