Data Engineer - Power & Utilities - Senior - Consulting - Location Open

EY is seeking a motivated professional with solid experience in the industrials, energy or utilities sector to serve as a Senior AI Data Engineer who possesses a robust background in AI, Gen AI, Agentic AI, preferably with an electrical engineering background. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the industrials, energy, and utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data architectures.

The opportunity

As a Senior Data Engineer, you will be at the forefront of designing and implementing analytics solutions that drive substantial business value. You'll work closely with a diverse group of stakeholders to translate complex business requirements into precise technical specifications. Your role is crucial in bridging the gap between business needs and technical solutions, ensuring the successful execution of data-driven projects.

Your key responsibilities

In this role, you will design, develop, and maintain scalable data architectures, both on-premises and in the cloud. You'll manage the efficient storage, integration, validation, and security of data throughout its lifecycle. Your contributions will be vital to the delivery of processes, solutions, or projects, requiring you to exercise judgment and select appropriate methodologies to inform recommendations. You will be responsible for meeting your own targets, which will impact the performance of your team, and may guide junior colleagues to achieve project deliverables.

• Design and implement scalable data architectures
• Ensure efficient data lifecycle management
• Contribute to the delivery of key projects and solutions
• Architect and refine AI data architecture and modern data pipelines, integrating agentic AI solutions for clients in the industrials, energy, or power and utility sectors.
• Leveraging your knowledge of industrials, energy or power and utility systems and processes to define data requirements, gather, profile and analyze large scale structured and unstructured source data, and develop AI/GenAI/Agentic AI solutions 
• Develop the mechanisms to ingest, analyze, validate, normalize, and clean data to support standardization, customization and ad hoc data analysis needs
• Evaluate and implement cutting-edge tools and methodologies to enhance data engineering productivity.
• Collaborate with a diverse team of business analysts, solution architects, and data scientists to develop strategic enterprise solutions and data products.

Skills and attributes for success

To excel in this role, you should demonstrate expertise in cloud computing, data architecture design, data integration, and software engineering. Your ability to manage relationships, think critically, and adapt with emotional agility will be key to your success.

• A deep understanding of the value chain and core processes within the energy, or power systems sectors.
• Proficiency in AI, GenAI/Agentic AI, relational SQL databases, DevOps, continuous integration, and data lake concepts.
• A proven ability to design and maintain complex data integrations and ETL pipelines.
• Strong organizational skills, capable of leading projects across globally distributed teams.
• Collaborate with stakeholders to define technical specifications
• Participate in client sessions and lead workstream teams
• Manage resource plans, budgets, and project statuses

To qualify for the role, you must have

• A Bachelor’s degree in electrical/Power Systems Engineering, AI, Computer Science, Data Science, or a related field.
• At least 5 years of experience in data engineering, AI, and analytics.
• A track record of implementing complex data solutions and familiarity with cloud services, data engineering programming languages, and data architecture.
• Demonstrated understanding and experience using:
  • AI, GenAI/Agentic AI
  • Relational SQL databases
  • DevOps and continuous integration
  • Microsoft Fabric, Databricks/Snowflake
  • GitHub

• Experience in cloud computing, data architecture design, data integration, and software engineering
• Professional certifications as defined by service line policies
• Relationship management skills
• Critical thinking and emotional agility

Ideally, you’ll also have

• Proven ability to navigate complex issues and make informed decisions
• Experience in supervising and guiding junior team members
• Demonstrated participation in sales opportunities and RFP responses
• Leadership experience with a focus on team development and mentorship.
• A passion for leveraging emerging technologies to address real-world problems.
• A commitment to creating an inclusive work environment that celebrates diversity.

What we look for

We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.