Acceleration Center - Advisory National CT&I - Data Engineer - Senior Associate

6 Minutes ago • All levels
Data Analysis

Job Description

At PwC, Data Engineers design and develop robust data solutions, transforming raw data into actionable insights for informed decision-making and business growth. This role focuses on building data infrastructure and systems, developing and implementing data pipelines, data integration, and data transformation solutions. You will build meaningful client connections, manage and inspire others, navigate complex situations, and develop technical expertise. Anticipate team and client needs, deliver quality, and embrace ambiguity as an opportunity for growth.
Must Have:
  • Design and develop robust data solutions
  • Transform raw data into actionable insights
  • Build data infrastructure and systems
  • Develop and implement data pipelines
  • Implement data integration solutions
  • Implement data transformation solutions
  • Build meaningful connections with clients
  • Manage and inspire others
  • Navigate complex situations
  • Develop technical expertise
  • Anticipate team and client needs
  • Deliver quality work
  • Utilize a wide range of tools, methodologies, and techniques for problem-solving
  • Use critical thinking to break down complex concepts
  • Understand project objectives and how work fits into overall strategy
  • Develop a deeper understanding of the business context
  • Interpret data to inform insights and recommendations
  • Maintain professional and technical standards (PwC specific guidance, Code of Conduct, Independence requirements)

Add these skills to join the top 1% applicants for this job

team-management
problem-solving
game-texts

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Senior Associate

Job Description & Summary

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 will be building meaningful connections with clients and learning to manage and inspire others. Navigating increasingly complex situations, you will be developing your personal brand, deepening technical expertise, and becoming aware of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Integrating growing ambiguity, you are comfortable when the path forward is not clear, asking questions and using these moments as opportunities to grow.

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

  • Effectively respond to the diverse perspectives, needs, and feelings of others.
  • Utilize a wide 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, improve strengths, and address areas for development.
  • Interpret data to inform insights and recommendations.
  • Maintain 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.

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