Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Platform Engineering & ArchitectureManagement Level
ManagerJob 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.Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Deep business domain understanding of Asset Management (must have)
Data Model implementation experience on Microsoft Azure and Databricks
Advanced MS Azure, Databricks and Phython, JIRA, Confluence, DevOps
#PwCSEACPH
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Data Driven Modeling, Data Modeling Techniques, Data Modeling Tools, Microsoft Azure DatabricksOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 23 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
YesJob Posting End Date
November 30, 2025