The Context Engineer - Senior role at EY focuses on designing and building modern data pipelines while implementing semantic frameworks to enable AI and intelligent data products. This position requires collaboration with data architects, AI engineers, and stakeholders to translate complex business concepts into scalable data models. The team aims to enhance data readiness and support advanced analytics and AI use cases. Candidates will be part of a dynamic environment that values innovation and professional development.

• A Bachelor's degree in STEM.
• 4+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development.
• 3+ years’ experience with native cloud products and services such as AWS, Azure or GCP.
• 2+ years of experience mentoring and leading a team of data engineers.
• Proven track record of designing and implementing complex data solutions.

• Design, build, and operate scalable data pipelines and integrations across cloud and hybrid environments.
• Develop and evolve ontologies and semantic models to represent business concepts and workflows.
• Build and maintain knowledge graphs that enable contextual reasoning and semantic integration.
• Implement processes and systems to drive data reconciliation and monitor data quality.
• Utilize CI/CD principles to automate deployment of code changes and improve code quality.

• Ernst & Young (EY) offers a comprehensive and competitive benefits package designed to support the well-being of its employees across various dimensions.