Job Description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

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.

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 Data and Analytics Engineering team you will lead the end-to-end delivery of Power BI solutions, transforming data into actionable insights. As a Manager you will mentor junior staff, oversee project management, and secure quality deliverables that meet client expectations. This position provides an exciting opportunity to collaborate with diverse stakeholders, implement innovative practices, and drive innovation in data visualization and analytics.

Responsibilities

• Oversee the end-to-end delivery of Power BI solutions
• Transform data into actionable insights for clients
• Mentor junior staff and support their professional growth
• Manage project timelines and maintain quality deliverables
• Collaborate with diverse stakeholders to implement practices
• Drive innovation in data visualization and analytics
• Analyze client requirements to tailor solutions effectively
• Maintain alignment with client expectations and project goals

What You Must Have

• Bachelor's Degree
• 8 years of experience in Data Engineering
• Oral and written proficiency in English required

What Sets You Apart

• BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA preferred
• 8 to 12 years of experience
• Experience with Azure Synapse, Data Factory, or Databricks
• Knowledge of other BI tools such as Tableau or Qlik
• Familiarity with Python or R for data analysis
• Experience in Agile/Scrum environments
• Microsoft Power BI or Azure certifications preferred

Travel Requirements

Not Specified

Job Posting End Date