Data Modeler

Data Modeller Develop and maintain data models-Logical and Physical, to support business needs ensuring data integrity for Insurance domains. Design models aligned to Databricks medallion architecture by translating the requirements of underwriting ,delegated authority, reinsurance, actuarial, claims and finance. Implement and maintain modelling standards ,naming conventions, metadata and documentation working closely with data analyst, data engineers, and associates in data office Review existing models and propose simplification, standardisation and target state improvements across projects and for wider requirements. Lead the evolution of requirements , refine and translate the specifications into data models to enable development phase Ensure the models accurately reflect Insurance processes and data elements before handing it over to engineering. Experience delivering data models for P&C ,Specialty insurance projects with exposure to Lloyd's/London Market and Syndicate data structures is required . Understanding of insurance domain concepts and proficiency with data modelling tools(eg Erwin) Expertise in enterprise data modelling, including conceptual, logical, and physical models for transactional domains Experience in data modelling using Dimensional Star/Snowflake, Data Vault, and 3NF methodologies. Experience with Azure Data Factory and Databricks ,designing data pipelines can be advantageous Understanding and knowledge of system development life cycle methodologies (such as agile software development) Excellent collaboration and communications skills to deal with senior leaders, stakeholders and technical teams is required Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative idea"