Data Engineer - Manager - Consulting - Location OPEN

EY is a global professional services organization that provides consulting, assurance, tax, strategy, and transaction services supported by data, AI, and advanced technology. The Data Engineering Manager will lead complex technical initiatives, design scalable data architecture and analytics solutions, engage with clients, and manage resources, budgets, and delivery quality.

Responsibilities:

• Leading workstream delivery and ensuring quality in all processes
• Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services
• Implementing resource plans and budgets while managing engagement economics

Requirements:

• • Ability to work with both technical and business stakeholders
• • Prior experience leveraging LLMs or other GenAI tooling
• • Proven ability to work across cross-functional teams
• • Proven ability to work with ambiguity or when requirements are lacking/changing
• • Owns a problem from raw source through pipeline, model/analysis, and production handoff
• • Checks bias, leakage, sample size, and whether a metric actually answers the question
• • Writes tested, versioned, observable code — not one-off notebooks that only run on a laptop
• • Strong analytical and problem-solving abilities
• • Excellent communication skills, with the ability to convey complex information clearly
• • Proven experience in managing and delivering projects effectively
• • Ability to build and manage relationships with clients and stakeholders
• • Bachelor's degree required in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, Engineering, Applied Math, Analytics, or related preferred
• • Typically, no less than 4 - 6 years relevant experience
• • Hands-on experience developing scalable data solutions using Python, R, and SQL, with expertise in data engineering, data pipelines, streaming architectures, and big data ecosystems
• • Cloud Computing Architecture
• • Data Architecture Design and Modelling
• • Data Integration
• • Data Security
• • Ontology Design
• • Software Engineering
• • Data Quality
• • Database Management
• • Semantic Layer
• • Building and Managing Relationships
• • Client Trust and Value
• • Communicating With Impact
• • Hybrid Collaboration
• • Commercial Acumen
• • Leading Teams
• • Managing Change
• • A passion for delivering commercial software products and platforms to market
• • Deeply technical and constantly in a state of learning
• • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, customers, partners and executives
• • Fearless in getting “hands-on” with technology and execution
• • Strong understanding of modern software engineering processes
• • Deep understanding and interest in cloud and distributed systems architectures
• • Comfortable with ambiguity with a drive for clarity
• • Experience leading and growing technical talent (for software engineering managers)
• • Experience in managing change effectively
• • Experience with advanced data analytics tools and techniques
• • Familiarity with machine learning concepts and applications
• • Knowledge of industry trends and best practices in data engineering