Data Modeler Role Type: Permanent Location: Glasgow/ Telford UK Frequency: 2 days in a week Salary: up to £75k Design, develop, and maintain conceptual, logical, and physical data models to support business needs and objectives across various domains. • Collaborate with stakeholders, including business analysts, data architects, and application developers, to gather and define data requirements. • Create and optimize database schemas and data structures to ensure data consistency, accuracy, and integrity. • Implement best practices for data modeling, including normalization, de-normalization, and dimensional modeling, to support efficient data storage and retrieval. • Lead the design and implementation of complex data architectures for enterprise-level systems, ensuring scalability and performance. • Develop and maintain data dictionaries, data lineage documentation, and metadata repositories to support data governance and standardization efforts. • Perform data mapping and data profiling to ensure data quality and consistency across systems and environments. • Work closely with ETL developers to design data integration strategies, ensuring seamless data flow between source and target systems. • Utilize data modeling tools such as Erwin, PowerDesigner, or similar to create, modify, and maintain data models and data flow diagrams. • Provide guidance and mentorship to junior data modelers and data engineers, promoting best practices and methodologies. • Ensure compliance with data governance policies, industry standards, and regulatory requirements for data management and privacy. • Support data migration efforts by creating detailed data mapping and transformation rules between legacy and target systems. • Experience in modeling for various databases, including relational (SQL Server, Oracle, MySQL) and NoSQL (MongoDB, Cassandra) systems. • Collaborate with BI and reporting teams to ensure data models support advanced analytics, reporting, and visualization needs. • Analyze and optimize existing data models and database performance, identifying bottlenecks and making recommendations for improvement. • Maintain detailed documentation of data models, schemas, and changes to ensure transparency and future scalability