Palantir Data Integration Engineer-Senior Associate

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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.

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.

The Opportunity

When 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 and Analytics team you will play a critical role in ingesting and integrating various data from external sources into the Foundry ecosystem. As a Senior Associate you will guide and mentor others while navigating complexity and delivering quality data integration solutions. This position allows you to lead the design and deployment of data pipelines, achieving seamless interoperability and data consistency across multiple systems.

Responsibilities

• Ingest and integrate diverse data from external sources into the Foundry ecosystem
• Lead the design and deployment of data pipelines for seamless interoperability
• Maintain data consistency across multiple systems through practical solutions
• Mentor and guide team members in navigating complex data challenges
• Collaborate with stakeholders to understand data requirements
• Analyze data integration processes and recommend enhancements
• Maintain standards in data quality and accuracy
• Utilize critical thinking to solve complex data integration issues

What You Must Have

• Bachelor's Degree
• 4 years of experience in data engineering, system integration, or platform engineering roles
• Oral and written proficiency in English required

What Sets You Apart

• Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems preferred
• Proven experience with Palantir Foundry
• Leading data integration and engineering projects
• Collaborating with cross-functional teams for system interoperability
• Implementing data validation and governance processes
• Utilizing Python, Java, or Scala for data transformation
• Managing both structured and unstructured data
• Familiarity with cloud security and access controls
• Experience with data infrastructure for external systems

Travel Requirements

Not Specified

Job Posting End Date