Data Modeler

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