Context Engineer - Manager - Consulting - Location OPEN

Location:

Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Technology

• AI & Data
• Context Engineering
• Manager EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more. The opportunity We are seeking a Data Engineer with strong semantic data engineering capabilities
• someone who can design and build modern data pipelines while also implementing semantic frameworks (ontologies, taxonomies, and knowledge graphs) that enable agentic AI and intelligent data products.

In this role, you will work at the intersection of data engineering, knowledge representation, and AI enablement, helping create a context layer that allows AI systems to understand and reason over enterprise data. You will collaborate with data architects, AI engineers, and stakeholders to translate complex business concepts into scalable data + semantic models, powering downstream analytics, AI workflows, and operational use cases. Your key responsibilities In this role, you will contribute to multiple solutions and workstreams, focusing on delivery quality, operational excellence, and effective risk management. You will be proactive in continuous process improvement, leveraging research and analysis to identify innovative solutions.

Key responsibilities include:

Data engineering & platform delivery + Design, build, and operate scalable data pipelines and integrations that support large-scale data architectures across cloud and hybrid environments. + Build out new integrations using cloud-native technologies to support continuing increases in data sources, volume, and complexity. + Extract, transform, and load data from multiple external/internal sources into a single, consistent source to serve business users and data visualization needs. + Implement processes and systems to drive data reconciliation and monitor data quality. + Write unit/integration/performance tests and perform analysis required to troubleshoot data-related issues and support resolution. Semantic data engineering / context engineering + Develop and evolve ontologies and semantic models to represent business c To view full details and how to apply, please login or create a Job Seeker account