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. We are seeking a highly skilled and motivated Fabric Data Engineer – Senior Associate to join our dynamic team. This role is ideal for professionals with 4–6 years of experience in cloud data engineering, particularly within the Microsoft ecosystem. You’ll play a key role in designing, developing, and optimizing data solutions using Microsoft Fabric and Azure services, while contributing to cutting-edge data architecture strategies.

Key Responsibilities:

• Architect and implement scalable data solutions using Microsoft Fabric Cloud Architecture
• Design and develop data pipelines using Azure Synapse, Synapse Spark, Azure Data Factory, or Synapse Pipelines
• Collaborate with cross-functional teams to deliver solutions in consulting or professional services environments
• Apply best practices in CI/CD using Azure DevOps and Git
• Build and maintain robust data models aligned with Data Mesh, Data Warehouse, and Lakehouse architectures
• Write efficient and optimized code using T-SQL, PySpark, Python, Scala, Power Query M, or DAX
• Develop interactive dashboards and reports using Power BI and automate workflows with Power Automate Apps
• Ensure data security and identity management with a basic understanding of Microsoft Entra

Eligibility / Qualification Required:

Required Skills & Qualifications:

• 4–6 years of hands-on experience in data engineering and cloud architecture
• Proven expertise in Microsoft Fabric and Azure-based data services
• Strong command of SQL (T-SQL) and PySpark for data transformation and analytics
• Familiarity with CI/CD pipelines, version control, and agile development practices
• Experience with Power BI, Power Automate, and scripting languages like Python and Scala
• Understanding of modern data architecture principles and frameworks
• Exposure to Microsoft Entra or similar identity and access management tools

Preferred Attributes:

• Consulting experience or client-facing project delivery
• Strong analytical thinking and problem-solving skills
• Excellent communication and collaboration abilities
• Passion for innovation and continuous learning in cloud data technologies

Education:

Degrees/Field of Study required: Not specified (text states "if blank, degree and/or field of study not specified").
Degrees/Field of Study preferred: Not specified.

Certifications:

Not specified (text states "if blank, certifications not specified").

How to Apply:

Application instructions were not provided in the job description.

General Conditions:

General conditions were not provided in the job description.
View Official Posting & Apply