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**AI Data Engineering Consultant (Managerial)** – Leverage AI for data modernization at EY. Design, build, and optimize scalable, AI-driven data pipelines using technologies like Databricks, Spark, Kafka (cloud-native preferred: Azure). Collaborate cross-functionally, translating business needs into technical solutions. Requires 5+ years as Data Engineer, expertise in Python/Scala, modern data architectures, and cloud environments.
- Compensation
- Not specified
- City
- Not specified
- Country
- Not specified
Currency: Not specified
Full Job Description
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 innovationempowering 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
- Bachelors 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
SIMILAR OPPORTUNITIES
AI Data Engineering Consultant (Managerial)
Compensation
Not specified
City: Not specified
Country: Not specified
**AI Data Engineering Consultant (Managerial)** – Leverage AI for data modernization at EY. Design, build, and optimize scalable, AI-driven data pipelines using technologies like Databricks, Spark, Kafka (cloud-native preferred: Azure). Collaborate cross-functionally, translating business needs into technical solutions. Requires 5+ years as Data Engineer, expertise in Python/Scala, modern data architectures, and cloud environments.
Full Job Description
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 innovationempowering 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
- Bachelors 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
SIMILAR OPPORTUNITIES
