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Pwc

Data Engineer - Manager - Operate

Bangalore · Hyderabad

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hirly's read of this role

Role family
Data & ML
Seniority
Lead / management
Country
IN
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

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the posting

Industry/Sector

Not Applicable

Specialism

Managed Services

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 Data Engineer - Manager - Operate you will lead the design, build, and support of data engineering solutions that help clients streamline operations, improve data flow, and strengthen service delivery within our Managed Services practice. As a Manager you will coach teams, guide delivery across multiple workstreams, manage project priorities, and use sound judgment to handle complex issues while supporting client expectations and team development. In this role at PwC Acceleration Center India, you will help shape managed service delivery for data, analytics, and AI-focused work, using technology, process improvement, and a practical understanding of how businesses run to drive dependable outcomes across evolving client needs.

Responsibilities

  • - Leading data engineering workstreams across managed service engagements, aligning delivery plans with client service expectations
  • - Managing project scope, timelines, budgets, risks, and issue resolution for data platform and pipeline initiatives
  • - Guiding teams in designing, building, and supporting scalable data ingestion, transformation, and integration solutions
  • - Overseeing data quality controls, workflow automation, and performance monitoring across operational data environments
  • - Applying cloud engineering and analytics tools to improve service delivery, reliability, and process efficiency
  • - Reviewing technical deliverables, validating work products, and coaching team members through feedback and development discussions
  • - Coordinating with client stakeholders and internal leaders to address delivery challenges, priorities, and changes in requirements
  • - Identifying opportunities for process improvement, operational performance management, and continuous service enhancement

What You Must Have

  • - At least a Bachelor's degree
  • - At least 10 years of experience in Data Engineer, Netezza, Data Stage, OGG etc
  • - Oral and written proficiency in English required
  • What Sets You Apart
  • - Leading data engineering teams in managed services environments
  • - Managing client delivery timelines, budgets, and workstreams
  • - Mentoring junior talent through coaching and work review
  • - Applying cloud engineering and analytics platforms for data solutions
  • - Translating operational needs into scalable data pipeline designs
  • - Balancing multiple priorities while handling ambiguity and stakeholder issues

Travel Requirements

Up to 20%

Job Posting End Date

September 29, 2026

Original posting on Pwc's site ↗

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