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Salary
≈ $30k – $56k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 9+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 15, 2026. PwC UK scores A on the Alion truth index.

Overview
Company
Impact
Profile match
PwC UK is the British member firm of the PricewaterhouseCoopers network, based in London and providing audit and assurance, tax, deals, consulting and managed services to companies and public bodies. The PwC network was formed in 1998 by the merger of Price Waterhouse and Coopers and Lybrand, and the UK firm has offices in cities such as Birmingham, Manchester, Leeds, Bristol, Belfast and Edinburgh. The job board linked to this record is a global PwC site that also lists Acceleration Center roles in India, Mexico and the Philippines, hiring associates to directors in managed services, Workday, cybersecurity, tax, strategy and technology consulting.

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.

As a Snowflake Utility Energy Manager you will lead data engineering work that designs and builds data infrastructure, pipelines, integration, and transformation solutions for client needs within our Data & Analytics Engineering practice. As a Manager you will motivate, develop, and coach teams, manage assigned workstreams, and bring structured planning, clear judgment, and technology-driven delivery to complex projects. In this role at PwC, you will guide delivery across Snowflake-based data solutions, coordinate work across multiple contributors, and help translate business needs into scalable data assets that support analysis and decision-making.

Responsibilities

- Leading data engineering workstreams for utility and energy clients, translating business needs into scalable Snowflake-based solutions

- Managing project planning, budgeting, timelines, and deliverables across multiple client engagements

- Overseeing the design and development of data pipelines, data integration, and data transformation processes

- Guiding teams in building data warehouse, data lake, and analytics platform solutions using Snowflake and cloud services

- Reviewing data architecture, modeling, validation, and performance tuning approaches to support reliable data processing

- Coordinating the use of Apache Airflow, Azure Data Factory, Databricks, and AWS tools across delivery efforts

- Mentoring team members, strengthening technical capabilities, and providing coaching through work review and feedback

- Identifying process improvements, data quality gaps, and modernization opportunities that support client outcomes

What You Must Have

- At least a Bachelor's degree

- At least 9+ years of experience

- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics

- Demonstrating Snowflake data engineering experience across utility and energy client work

- Leading data modernization workstreams, schedules, budgets, and deliverables

- Mentoring teams while managing performance and coaching growth

- Translating business needs into scalable data pipeline solutions

- Applying Agile delivery, data modeling, and warehouse optimization skills

Travel Requirements

Not Specified

Job Posting End Date

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