Data Engineer

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

 

Experience Level

Senior Level