Deals Advisory - Forensics Technology - GCP Data Engineer - Senior Associate

Industry/Sector

Not Applicable

Specialism

Forensic Technology

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in forensic services focus on identifying and preventing fraudulent activities, conducting investigations, and maintaining compliance with regulatory requirements. Individuals in this field play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices.

In fraud, investigations and regulatory enforcement at PwC, you will focus on identifying and preventing fraudulent activities, conducting investigations, and confirming compliance with regulatory requirements. You will play a crucial role in safeguarding organisations against financial crimes and maintaining ethical business practices.

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 Fraud, Investigations and Regulatory Enforcement team you will design and enhance scalable data pipelines to support analytics initiatives. As a Senior Associate you will lead development efforts, mentor junior engineers, and build sturdy relationships with stakeholders while navigating complex data challenges. This role offers an exciting opportunity to enhance your technical skills and contribute to impactful data solutions.

Responsibilities

- Design and enhance scalable data pipelines for analytics

- Lead development efforts to secure project success

- Mentor junior engineers to enhance their technical capabilities

- Build relationships with stakeholders for productive collaboration

- Navigate complex data challenges to deliver impactful solutions

- Contribute to the development of innovative data solutions

- Collaborate with teams to align on project objectives

- Implement industry standards for data processing and management

What You Must Have

- Bachelor's Degree

- 3 years of experience in data engineering, analytics engineering, or cloud data platforms

-- Oral and written proficiency in English required

What Sets You Apart

- Bachelor's Degree in Engineering, Computer Science, Data Science preferred

- 3 to 6 years of experience in data engineering

- GCP experience or certification preferred

- Hands-on experience in analytics engineering preferred

- Familiarity with cloud data platforms preferred

Travel Requirements

Not Specified

Job Posting End Date