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PwC

ETIC, AWS Data Engineer, Senior Associate

LocationCairo - ETIC
SenioritySenior
DepartmentAdvisory
Company size10,000+ people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have8
Respond effectively to the diverse perspectives, needs, and feelings of others.
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
Use critical thinking to break down complex concepts.
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
Develop a deeper understanding of the business context and how it is changing.
Use reflection to develop self awareness, enhance strengths and address development areas.
Interpret data to inform insights and recommendations.
Uphold and reinforce professional and technical standards, the Firm's code of conduct, and independence requirements.
Eligibility1
No work visa sponsorship available.
Skills
Amazon Web Services (AWS)
Apache Hadoop
Azure Data Factory
Data Engineering
Data Pipeline
Data Modeling
Data Integration
Data Lake
Data Quality
Data Transformation
Database Administration
Database Management System (DBMS)
Database Optimization
Database Security Best Practices
Data Anonymization
Data Validation
Agile Scalability
Line of Service
About the role
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
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.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Requirements
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
•
Respond effectively to the diverse perspectives, needs, and feelings of others.
•
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
•
Use critical thinking to break down complex concepts.
•
Understand the broader objectives of your project or role and how your work fits into the overall strategy.
•
Develop a deeper understanding of the business context and how it is changing.
•
Use reflection to develop self awareness, enhance strengths and address development areas.
•
Interpret data to inform insights and recommendations.
•
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.
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
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, 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, Data Validation {+ 19 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
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