AI Data Engineering Consultant (Managerial)

About EY

EY is a global leader operating in over 150 countries, delivering exceptional services in Consulting and helping clients transform and strengthen their capabilities. We are committed to building a better working world by creating long-term value for clients, people, and society, while fostering trust in capital markets.

This commitment begins with a culture that emphasizes learning, growth opportunities, and innovation—empowering you to make a meaningful impact. At EY, your career is yours to shape, supported by a global network, inclusive culture, and advanced technology. We value your unique perspective and encourage you to bring your voice to help us continuously improve.

--- ### The Opportunity

As an AI Data Engineer, you will play a key role in enabling clients to modernize their data platforms and unlock the value of AI-driven insights. You will work on cutting-edge technologies to design and build scalable, intelligent data solutions, particularly focused on next-generation, AI-driven (agentic) data pipelines beyond traditional ETL approaches.

This is a high-growth area within EY, offering strong exposure to innovative projects, emerging technologies, and career advancement opportunities.

--- ### Your Key Responsibilities

• Design and build scalable, AI-driven/agentic data pipelines for advanced analytics and machine learning use cases

• Work hands-on with modern data platforms such as Databricks, Microsoft Fabric, Snowflake, Spark, Kafka, and Airflow

• Develop and optimize data processing workflows, ensuring performance, scalability, and reliability

• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions

• Ensure data quality, governance, and integrity across the data lifecycle

• (Optional/Bonus) Contribute to solution architecture, proposals, and RFP responses in consulting engagements

--- ### Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field

• Proven experience as a Data Engineer or AI Data Engineer

• Hands-on experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, Spark, Kafka, and Airflow

• Strong programming skills (e.g., Python, Scala)

• Solid understanding of modern data architecture and AI-driven data pipelines

• Experience in cloud environments (preferably Microsoft Azure)

• Strong analytical thinking and problem-solving skills

--- ### What We Look For

We are looking for passionate and forward-thinking individuals who are excited about AI-driven data transformation. If you are curious, adaptable, and motivated to help organizations unlock the power of data and AI, this role is for you.

--- ### What We Offer

• Continuous Learning: Build future-ready skills through ongoing development and training

• Success as Defined by You: Flexibility and tools to create meaningful impact in your own way

• Transformative Leadership: Coaching and support to help you grow into a strong leader

• Diverse & Inclusive Culture: An environment where your voice is valued and individuality is celebrated