Context Engineer - Manager - Consulting - Location OPEN

About the role

EY seeks a Data Engineer with strong semantic data engineering capabilities to join our team. This role involves designing and building modern data pipelines while implementing semantic frameworks that enable agentic AI and intelligent data products.

Responsibilities

• Data engineering & platform delivery
• Design, build, and operate scalable data pipelines and integrations that support large-scale data architectures across cloud and hybrid environments.
• 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 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.
• Continuous improvement
• 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.

Qualifications

• A Bachelor's degree in STEM
• 6+ 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, fostering a culture of innovation and professional development.
• Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines.
• Proven track record of designing and implementing complex data solutions.
• Demonstrated understanding and experience using: Data engineering programming languages (e.g., Python), OWL, RDF, SPARQL, Distributed data technologies (e.g., Pyspark), Cloud platform deployment and tools (e.g., Kubernetes), Relational SQL databases, DevOps and continuous integration, GitHub, Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions.
• Understanding of database architecture and administration.
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners.
• Strong problem solving and troubleshooting skills.
• Ability to work in a fast-paced environment and adapt to changing business priorities.

Skills and Attributes

• Strong ability to manage change, lead teams effectively, and maintain excellent relationship management skills.
• 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.
• Develop solutions for complex problems.
• Suggest changes to policies and establish new procedures.
• Provide direction and feedback to team members.

Pay

The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

Benefits

We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

What We Offer

You At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Equal Opportunity Employer

EY is committed to providing reasonable accommodation to qualified individuals with disabilities and encourages applicants with disabilities to apply. For those living in California, please click here for additional information.

Legal Notice

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.