Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Platform Engineering & Architecture

Management Level
Manager

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.


Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Min 5 years experience in data modelling
• 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
  
  
  

Required Skills
Data Driven Modeling, Data Modeling Techniques, Data Modeling Tools, Microsoft Azure Databricks

Optional 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 Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
Yes

Job Posting End Date