Capgemini Invent is seeking a Data Modeller to join our innovative team. We are transformation consultants who blend strategic, creative, and scientific expertise to deliver cutting-edge solutions for our clients. Contribute to a future where technology is created with purpose, informed by data, and superpowered by creativity. Embrace a role that drives transformation tailored to today's and tomorrow's client challenges.

This permanent position offers a flexible work environment, recognizing the importance of a healthy work-life balance with options for remote work and flexible hours. As part of a global business and technology transformation partner, you will have access to extensive career growth programs and diverse opportunities to explore new technologies and roles, including certifications in areas like Generative AI.

Design and develop comprehensive data models, including conceptual, logical, and physical structures, to meet enterprise analytics, reporting, and operational data needs. Collaborate closely with business stakeholders, data architects, and engineering teams to translate complex business requirements into scalable and maintainable data architectures. Support critical data governance, metadata management, and semantic modelling initiatives, ensuring strict adherence to enterprise modelling standards and best practices. Contribute actively to modern data platform projects, particularly those in cloud environments, by leveraging your expertise in SQL, data warehousing principles, and advanced data modelling techniques.

Develop and maintain various data models, such as dimensional, relational, and semantic models, to address both enterprise-wide and project-specific requirements. Engage with business analysts, architects, and data engineers to gather essential requirements, meticulously document data definitions, and ensure alignment of data models with ETL/ELT implementation processes. Conduct thorough data analysis, perform SQL-based validation, meticulously document metadata, and execute data quality assessments to guarantee model accuracy, consistency, and compliance with all organizational standards. Support cloud data warehouse and big-data initiatives by optimizing data structures, maintaining all modelling artifacts, and actively participating in model reviews, governance activities, and ongoing continuous improvement efforts. This role is for experienced professionals.