At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
- Apply systems thinking to identify underlying problems and/or opportunities.
- Validate outcomes with clients, share alternative perspectives, and act on client feedback.
- Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
- Deepen and evolve your expertise with a focus on staying relevant.
- Initiate open and honest coaching conversations at all levels.
- Make difficult decisions and take action to resolve issues hindering team effectiveness.
- Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The OpportunityWhen you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.As part of the Data Management team you will lead Enterprise Data Management initiatives. As a Senior Manager you will guide large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. This role offers the chance to leverage your specialized knowledge and technical acumen to deliver quality results and contribute strategic insights to the firm’s business strategies.
Responsibilities
- Lead initiatives in Enterprise Data Management
- Oversee large-scale projects and innovate operational processes
- Maintain exceptional standards of quality and effectiveness in deliverables
- Engage with clients to provide strategic insights and solutions
- Utilize specialized knowledge to enhance project outcomes
- Foster collaboration among diverse teams to solve complex challenges
- Implement leading practices in data management and analytics
- Drive continuous improvement in operational excellence
What You Must Have
- Bachelor's Degree in Engineering, Technology
- 11+ years of experience
- Oral and written proficiency in English required
What Sets You Apart
- Bachelor's Degree in Engineering, Technology
- Experience in data engineering, data architecture, or enterprise data solutions, with at least 3–5 years in an architecture or technical leadership role
- Understanding of GenAI architectures including Agentic frameworks like Langchain, Langgraph etc., Vector Databases
- Experience in Data Conversion, Data Migration, and Data Warehousing projects
- Knowledge of Cloud native services – Azure, AWS, GCP, with proficiency in at least one hyperscaler
- Experience in designing and implementing large scale transformation programs
- Design scalable batch/real-time data architectures, define ingestion patterns, and deliver Lakehouse solutions across cloud platforms.
- Build and automate high-performance data pipelines using Python, PySpark, SQL, and orchestration tools while ensuring reliability and efficiency.
- Apply strong coding and system design principles to build reusable components, drive code quality, and ensure observability across data systems.
- Develop robust data models and work with relational, NoSQL, and graph databases while applying key data-warehousing principles.
- Proficiency in Master Data Management, Data Quality, and Data Governance
- Knowledge of CI/CD concepts with experience in Docker, Kubernetes, Git etc.
- Oral and written proficiency in English required
