Context Engineer - Manager - Consulting

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.

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.

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.

In this role, you will contribute to multiple solutions and work streams, 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:

• 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.

• Develop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analytics.
• Build and maintain knowledge graphs that enable contextual reasoning, entity resolution, and semantic integration across domains.
• Define metadata schemas, taxonomies, and contextual rules to support dynamic orchestration, discoverability, and reuse.
• Implement and govern semantic standards and best practices aligned to W3C semantic web standards.

• Utilize CI/CD principles to automate deployment of code changes, improving code quality, test coverage, and resilience.
• Evaluate and adopt emerging tools and processes in data engineering and knowledge graph platforms to improve productivity and outcomes.

To thrive in this role, you will need a strong ability to manage change, lead teams effectively, and maintain excellent relationship management skills. You should be adept at problem-solving, critical thinking, and have a deep expertise in data architecture and software engineering.

• Partner with Business Analysts and Solution Architects to translate business requirements into technical specifications aligned to the intended design.
• Collaborate with AI/ML engineers to embed a semantic context layer into agentic workflows and data products.
• Support advanced analytics and AI use cases by improving data readiness, meaning, lineage, and interpretability.
• Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity.
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth.
• Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions.
• Devel…