Data Engineer - Industrials & Energy Sector - Senior - Consulting - Location Open

US Consulting - AI & Data - Data Engineer, Industrials & Energy Sector – Senior 

The opportunity  

EY is seeking for Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. 

• Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives 

• Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling 

• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value 

• 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 

To qualify for the role you must have 

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

• 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting 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 (i.e., Python) 

• Distributed Data Technologies (e.g., Pyspark)  

• Cloud platform deployment and tools (e.g., Kubernetes) 

• Relational SQL databases  

• DevOps and continuous integration  

• AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) 

• Databricks/ETL 

• IICS/DMS 

• GitHub 

• Event Bridge, Tidal 

• 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 

• Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals 

• Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent source to serve business users and data visualization needs 

• Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases 

• 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 

Ideally, you’ll also have 

• Experience in leading and influencing teams, with a focus on mentorship and professional development 

• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges 

• The ability to foster an inclusive environment that values diverse perspectives and empowers team members 

FY25CH