Permanent Data Modeller Jobs in Edinburgh

2 of 2 Permanent Data Modeller Jobs in Edinburgh

Data Modeller

Edinburgh, Midlothian, United Kingdom
Hybrid / WFH Options
Aberdeen
areas where we have both strength and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Department The Data Platform team sits within the Investments business and plays a pivotal role in bridging the gap between business and data. It supports the adoption of a Data Mesh … architecture and a Modern Data Stack to enable scalable, federated data development and delivery across Aberdeen. About the Role We are seeking an experienced and detail-oriented Data Modeller to join our modern data platform team. This role is critical in shaping the data architecture and modelling standards that underpin our analytics and reporting … capabilities. You will work closely with data engineers, platform teams, and business stakeholders to design and implement robust data models that support enterprise-wide data initiatives. Key Responsibilities Design and maintain conceptual, logical, and physical data models. Develop and implement Data Vault 2.0 models for scalable and auditable data warehousing. Collaborate with engineering teams More ❯
Employment Type: Permanent
Salary: GBP Annual
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Data Modeler

Edinburgh, Scotland, United Kingdom
Tata Consultancy Services
within the business to bring products to life. Work with customers and identify opportunities to support their strategy and improve their processes across functions. The Role: As a Database Modeller, you will design and develop data models, collaborate with stakeholders to translate requirements, analyze data quality, implement best practices, and lead data architecture discussions for both … operational and analytical needs. Your Responsibilities: Design and develop conceptual, logical, and physical data models that support both operational and analytical needs. Collaborate with business stakeholders to gather requirements and translate them into scalable data models. Perform data profiling and analysis to understand data quality issues and identify opportunities for improvement. Implement best practices for data modeling, including normalization, denormalization, and indexing strategies. Lead data architecture discussions and present data modeling solutions to technical and non-technical audiences. Mentor and guide junior data modelers and data architects within the team. Continuously evaluate data modeling tools and techniques to enhance team efficiency and productivity. Your Profile: Essential skills/knowledge/ More ❯
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