Acceleration Center - Advisory National - Data Engineer - Senior Associate

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.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.

Uphold 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.

Minimum Years Experience Required

Thee Delivery Excellence Reporting & Analytics team is looking for a Senior Associate to join the program team! Our vision for the future is to deliver excellence, provide greater client value and lower the cost of delivery, through standardized solution and delivery across Advisory, by leveraging Solution Studio and PDM (PwC Delivery Methodology) that is powered by GenAI.

Skills Required

Having strong Data Engineering skills to design and build scalable and enterprise grade data pipelines utilizing PySpark, Python, SQL, Azure and Databricks.

Having a strong technical background and experience on Databricks platform with a strong understanding of workflows, DLT, Asset Bundles and Unity catalog etc.

Having deep understanding of Data modeling techniques and Architectures like Delta Lake, DWH and Lakehouse architecture.

Experience setting up CI/CD, automated testing and version control for fast and reliable deployments.

Experience in ML techniques, RAG and Agentic frameworks like Langchain, LangGraph etc.

Solid understanding of Distributed systems, and experience with Apache Spark framework

Experience with Mosaic AI on Databricks is highly desirable.

Interest and enthusiasm for transforming the way that we will be delivering work as part of the Delivery Excellence team.