Fabric+Pyspark+SQL - Manager

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
• Bachelor's 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