Fabric Pyspark SQL - Manager

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.

Skills

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 Firms 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 Engineering team you will design, build, and maintain productive data pipelines that drive business intelligence and analytics initiatives. As a Manager you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while securing project success and maintaining top standards. This role offers the chance to work with advanced technologies in Microsoft Azure environments, allowing you to enhance your leadership style and inspire your team to deliver exceptional results.

Responsibilities

• Design and implement streamlined data pipelines for analytics initiatives
• Lead and mentor teams to enhance performance and deliverables
• Manage client accounts while achieving project objectives
• Utilize advanced technologies within Microsoft Azure environments
• Foster a culture of innovation and continuous improvement
• Analyze complex data sets to drive business intelligence
• Establish rigorous standards for project execution and quality
• Collaborate with stakeholders to align on strategic goals
  
  

What You Must Have

• Bachelors Degree
• 6 years of experience in data engineering or related roles
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Power BI Data Analyst Associate
• Skilled in SQL and PySpark for data processing
• Familiarity with Azure data services and Microsoft Fabric
• Understanding of DevOps practices in data projects
• Experience with Data Modeling and ETL orchestration
• Demonstrating problem-solving skills in team settings

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