Databricks, azure data factory, or microsoft fabric
This middle-management, client-facing role is ideal for someone with a strong background in data engineering, platform architecture, and pipeline optimisation, who thrives in leading technical initiatives and mentoring others
Job Summary
This middle-management, client-facing role is ideal for someone with a strong background in data engineering, platform architecture, and pipeline optimisation, who thrives in leading technical initiatives and mentoring others.
The ideal candidate will have hands-on experience designing and implementing large-scale data solutions using modern cloud technologies, particularly within the Microsoft ecosystem.
PwC provides continuous personal and professional growth through our Learning and Development Program, a dedicated Career Coach, and a Wellbeing Program.
Matching Summary
This middle-management, client-facing role is ideal for someone with a strong background in data engineering, platform architecture, and pipeline optimisation, who thrives in leading technical initiatives and mentoring others.
Skills & Requirements
Must-have
Microsoft cloud technologies
Python and PySpark
Databricks, Azure Data Factory, or Microsoft Fabric
SQL for data querying
Data warehousing concepts and ETL
Scalable data architectures
Version control with Git
Nice-to-have
Mentoring junior engineers
Collaborative team environment
Microsoft certifications
Power BI for visualization
AI capabilities integration
Cloud cost optimization
Key Requirements
Bachelor’s degree in Computer Science, Data Science, or related
At least 5 years of experience in data engineering