Deals Advisory - Forensics Technology - Azure Data Engineer - Manager

Industry/Sector

Not Applicable

Specialism

Forensic Technology

Management Level

Manager

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.

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.

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

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• 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 Forensic Services team you lead a group of talented professionals in delivering innovative Lakehouse architectures. As a Manager, you are accountable for driving project success, mentoring junior developers, and fostering a culture of professional growth while maintaining the integrity and quality standards that define our firm.

Responsibilities

- Lead and manage data engineering projects focused on Azure technologies

- Collaborate with cross-functional teams to deliver data-driven solutions

- Mentor junior staff and promote their professional development

- Analyze complex data structures to inform decision-making processes

- Establish project timelines and quality standards for deliverables

- Identify and implement innovative approaches to enhance data management

- Uphold compliance with industry standards and regulatory requirements

- Foster a culture of teamwork and continuous improvement

What You Must Have

- Bachelor's Degree

- 6 years of experience in data engineering or analytics engineering

What Sets You Apart

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

- Relevant cloud or data certifications preferred

- Skilled in data engineering and analytics engineering

Travel Requirements

Not Specified

Job Posting End Date