Get recognition and reward working with this 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 are aligned to the 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 ******
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