Managed Services - Data & Analytics - Data Engineer - Manager

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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision‑making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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.

• 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

As part of the Data and Analytics - Business Intelligence team you lead the development and implementation of data engineering solutions, leveraging your proficiency in AWS services, Snowflake, and data transformation tools. As a Manager, you guide and inspire your team to deliver top-quality data solutions, making sure strategic planning and mentoring junior staff. You are responsible for managing client accounts, embracing technology and innovation, and maintaining the utmost standards of integrity and authenticity in every deliverable.

• Lead the design and execution of data engineering solutions
• Utilize AWS services and Snowflake for data transformation
• Inspire and guide team members to achieve excellence
• Oversee client account management with a focus on innovation
• Foster a culture of integrity and authenticity in projects
• Mentor junior staff in strategic planning and development
• Embrace and implement new technologies to enhance solutions
• Deliver top‑notch data solutions

• Bachelor’s Degree
• 5 years of experience

• Demonstrating significant abilities in incident management
• Managing change and problem management effectively
• Utilizing ITIL processes and service management tools
• Skilled in AWS services like EC2, S3, and Lambda
• Specializing in Snowflake for data warehousing solutions
• Utilizing DBT for data transformation and modeling
• Knowledgeable in data pipeline tools like Apache Airflow
• Skilled in Python for data processing and automation
• Specializing in SQL skills for complex queries and optimization

Learn more about how we work: (Use the "Apply for this Job" box below).-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: .

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

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