EY - GDS Consulting - AI And DATA - Data Modeller -Senior

Job Title: EY- GDS Consulting - AI And DATA - Data Modeler - Manager

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build a better working world.

EY GDS - Data and Analytics (D&A) - Data Modeller - Manager

We're looking for candidates with strong technology and data understanding in the data modelling space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your key responsibilities

• Employ tools and techniques used to understand and analyze how to collect, update, store and exchange data


• Define and employ data modeling and design standards, tools, best practices, and related development methodologies


• Design, review and maintain data models


• Perform data analysis activities to capture data requirements and represent them in data model visualizations


• Manage the life cycle of the data model from requirements to design to implementation to maintenance


• Work closely with data engineers to create optimal physical data models


• Identify areas where data can be used to improve business activities

Skills and attributes for success

• 8–10 years of relevant experience


• 5+ years of hands-on data modelling experience


• Experience with data modeling tools such as Erwin Data Modeler, ER Studio, Toad


• Strong knowledge of SQL


• Basic ETL knowledge including data mapping and transformation


• Good data warehouse knowledge


• Optional data visualization skills


• Knowledge of data quality and data profiling techniques

To qualify for the role, you must have

• Computer science graduate or equivalent


• Experience working in Agile delivery environments


• Strong analytical and problem-solving skills


• Proficiency in software development best practices


• Excellent debugging and optimization skills


• Experience with enterprise-grade solution implementations


• Ability to convert business problems into scalable technical solutions


• Excellent written and verbal communication skills


• Experience across the full solution delivery lifecycle


• Client management skills