9 of 9 Data Modeller Jobs in the UK excluding London

Data Modeller-£400PD-Hybrid We're looking for an experienced Enterprise Data Modeller to design, develop, and maintain conceptual and logical data models that support core insurance business processes. You'll work closely with business and technical teams to ensure data consistency, integrity, and alignment with our enterprise data strategy. Key Responsibilities Design … and maintain enterprise data models across multiple insurance lines (retail, specialist, reinsurance). Collaborate with business analysts, architects, and SMEs to translate requirements into scalable data models. Document entities, relationships, and business rules using tools such as ERwin, PowerDesigner, or Sparx EA. Ensure adherence to data modelling standards, governance, and regulatory requirements. Support Master and Reference Data Management, Data Lineage , and Data Quality initiatives. Align data modelling activities with the Group Data Policy and Data Strategy. Facilitate workshops and communicate effectively with stakeholders at all levels. Requirements 5+ years' experience as a Data Modeller, ideally within the insurance sector. Strong knowledge of Data Governance, MDM , and RDM principles. More ❯

Data Modeller Financial Services | Glasgow (Hybrid) | Inside IR35 Are you an experienced Data Modeller with a passion for building enterprise-grade conceptual and logical data models? Our financial services client is looking for a skilled professional to join their data architecture team in Glasgow on a hybrid contract basis. This is an exciting opportunity … to help shape strategic data initiatives, ensuring consistency, reusability, and clarity across the organisations data landscape. Role Overview Youll be responsible for designing and maintaining high-quality conceptual and logical data models to support enterprise-wide data initiatives. Working closely with business stakeholders and architects, youll ensure models are robust, standardised, and aligned with governance and … compliance requirements. Key Responsibilities Collaborate with business SMEs and architects to gather and translate requirements into conceptual and logical data models Participate in data modelling forums to propose and review new data concepts and attributes Support data catalogue and metadata enrichment activities Ensure adherence to data modelling standards and best practices Essential Skills & Experience 10+ More ❯

Job Title: Data Modeller - Insurance Sector Location: London (Hybrid - 3 Days Onsite) Employment Type: Outside IR35/Contract 3 months rolling A leading insurance organisation is seeking a mid-level Data Modeller to support enterprise data initiatives across multiple business lines. This is a contract opportunity suited to someone who thrives in a collaborative, fast … paced environment and brings strong domain knowledge in insurance data. Key Responsibilities Develop and maintain conceptual and logical data models aligned with business processes and insurance domain requirements. Collaborate with analysts, SMEs, and stakeholders to gather and translate requirements into scalable data models. Ensure consistency and integrity of data models across retail, specialist, and reinsurance lines. Document … data structures and business rules using tools such as ERwin, PowerDesigner, or Sparx EA. Uphold data modelling standards and governance practices. Work closely with architecture and process improvement teams to ensure alignment. Contribute to metadata management, data lineage, and master/reference data initiatives. Support data quality and remediation efforts. Facilitate stakeholder workshops and build More ❯

and scale to capitalise on the key themes shaping the market, through either public markets or alternative asset classes. About the Department The Client Domain is responsible for shaping data capabilities that drive client-focused outcomes. The department works closely with architects, technical leads, and business stakeholders to design, evolve, and communicate data models that underpin our digital … and analytical solutions. About the Role We're looking for a versatile and collaborative Data Modeller to join the Client Domain. This role is ideal for someone who thrives in agile environments, enjoys working across strategic and technical domains, and is passionate about shaping data capabilities that drive client-focused outcomes. Key Responsibilities Collaborate with architects and … Domain leadership to define scalable data strategies and models that support business objectives and future readiness. Identify opportunities to reuse and enhance existing data assets, ensuring compliance with governance, security, and regulatory standards. Design and maintain conceptual, logical, and physical data models, translating requirements into actionable specifications. Provide data insights and modelling support throughout the delivery More ❯

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 ❯

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 ❯

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 ❯

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 ❯

Role Title: ETRM Data Modeler Work mode: Hybrid, 3 days WFO Contract duration: 12 Months Location: London Key Accountabilities: Knowledge and experience in global energy markets with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders … learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯