[FY26] Data Engineer - Industrials & Energy Sector - Senior Manager - Consulting - Location Open

Location: Anywhere in Country

 

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We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.  Join EY and help to build a better working world.

 

Technology – Industrials & Energy Sector – Data Engineering – Senior Manager

 

The opportunity

EY is seeking a Senior Data Engineer to ingest, build, and support 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.

 

As a Senior Manager in Data Engineering, you will design and build analytics solutions that deliver significant business value. You will collaborate with a diverse team of data and analytics professionals, management, and stakeholders to ensure that our solutions meet business requirements. Your role will also involve understanding and translating business needs into technical requirements, ensuring that our development aligns with the intended design.

 

Your key responsibilities

In this role, you will be responsible for the effective management and delivery of complex processes and solutions. You will navigate operational dynamics while maintaining a focus on quality and risk management. Your responsibilities will include:

 

Strategic Oversight: Lead the strategic design and implementation of data engineering initiatives, ensuring alignment with business objectives and adherence to best practices in data architecture and ETL principles.

 

Cloud Solutions Leadership: Oversee the design and maintenance of scalable data pipelines and architectures using cloud platforms such as AWS, Azure, and Databricks. Ensure solutions accommodate increasing data sources, volumes, and complexity.

 

Solution Recommendation: Utilize your strong background to recommend and lead cloud-based and data engineering solutions, addressing complex technical challenges and ensuring optimal performance.

 

Pre-Sales and RFPs: Engage in pre-sales activities and contribute to RFP responses by developing and articulating advanced data engineering solutions that address client needs and demonstrate the value of our offerings.

 

AI/ML and Advanced Analytics: Collaborate with AI/ML engineers to design and implement data solutions that support machine learning, large language models (LLM), and advanced analytics. Integrate AI/ML capabilities into data engineering workflows.

 

Data Requirements and Validation: Define data requirements, manage the ingestion of structured and unstructured data, and validate data using tools and methodologies in a Big Data environment.

 

Data Quality and Reconciliation: Implement processes for data reconciliation and quality monitoring, ensuring production data is accurate and available for stakeholders, downstream systems, and business processes.

 

Technical Leadership: Evaluate, implement, and deploy emerging tools and processes to enhance data engineering capabilities. Develop and deliver communication and education plans on data engineering standards and practices.

 

Digital and Cloud Modernization: Lead digital transformation and cloud modernization efforts, leveraging cloud-native technologies and practices to improve data engineering solutions and processes.

 

Team Management: Mentor and lead a team of data engineers, fostering a culture of innovation, continuous improvement, and professional development.

 

Stakeholder Collaboration: Partner with Business Analytics, Solution Architects, Data Scientists, and AI/ML engineers to design and deliver data solutions that support advanced analytics, machine learning, and predictive modelling.

• Leading engagement delivery and managing client relationships to achieve performance objectives.
• Designing, building, and operating scalable data architecture and modeling solutions that support the entire data asset lifecycle.
• Developing resource plans and budgets for engagements, ensuring alignment with performance metrics.

 

This position may require regular travel to meet with exter