Industry/Sector
Not Applicable
Specialism
Platform Engineering & Architecture
Management Level
Senior Associate
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.
Certification(s) Preferred
· Microsoft Certified:
Azure Data Engineer Associate
· Microsoft Certified:
Power BI Data Analyst Associate
Preferred Knowledge/Skills
Senior Associate – Microsoft Fabric
Dsigns and develops scalable data solutions in Microsoft Fabric. Works independently on modules and contributes to architecture discussions.
Design and implement end-to-end data pipelines in Fabric
Build and optimize Lakehouse architectures
Develop advanced Power BI semantic models and reports
Write and optimize complex SQL and PySpark transformations
Integrate data from multiple sources (APIs, databases, streaming)
Ensure data quality, governance, and security compliance
Collaborate with business stakeholders for requirements
Mentor junior team members
Mandatory Skills
Microsoft Fabric (Data Factory, Lakehouse, Warehouse)
Power BI (DAX, modeling, performance tuning)
SQL (advanced)
Positive knowledge of:
PySpark / Spark
Data modeling (star/snowflake schema)
Azure services (ADLS, Synapse, etc.)
Understanding of CI/CD and DevOps practices
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