About the position
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. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Responsibilities
- Lead the development and deployment of data solutions using Palantir Foundry
- Guide and mentor junior staff in strategic planning and project execution
- Secure the success of projects by maintaining standards and exceeding client expectations
- Utilize proficiency in data engineering and analytics to drive client benefits
- Manage client accounts and foster enduring client relationships
- Implement and uphold the firm's methodologies and technology resources
- Encourage innovation and embrace new technologies within the team
- Identify opportunities for team development and continuous improvement
Requirements
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 5 years of experience
Nice-to-haves
- Certifications Preferred: Foundry Data Engineer, Solution Architect, or Application Developer
- Excelling in customer-centric solutions
- Delivering significant contributions beyond expectations
- Strength in analytical and problem-solving abilities
- Building applications with large datasets
- Collaborating with diverse technical teams
- Familiarity with Python and/or Typescript
- Experience with Palantir Foundry and AIP
Benefits
- Medical
- Dental
- Vision
- 401k
- Holiday pay
- Vacation
- Annual discretionary bonus
