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Digital and Cyber - Data and Cloud - Data Engineering and AI

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Date: Oct 14, 2025

Location: Amman, JO

Company: PwC MiddleEast

Business Unit Description

Why PwC

 Established in the region for over 40 years, PwC Middle East employs over 10,000 people across 12 countries: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, Qatar, Saudi Arabia, Palestine and the United Arab Emirates. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market, and beyond.

BU Description

PwC's Technology Consulting team in the GCC region is helping public and private sector clients improve customer and employee value through digital strategies and implementation. The team focuses on increasing customer engagement, providing employees with tools, and optimizing and digitizing operations. PwC emphasizes the need for purpose-led and values-driven leaders at all levels to stay relevant in a rapidly changing world. The company uses the PwC Professional framework to set expectations and develop skills necessary for career success.

 

Job Summary

A career in Data and AI is an opportunity to bring PwC's strategy to life by driving digitization and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Data and AI is here to help PwC meet that challenge and accelerate the growth of our business.

 

Roles & Responsibilities

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm's code of ethics and business conduct.

Additional Roles & Responsibilities

Skills and Competencies

  • A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You’ll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
  • The candidate needs to have the ability to manage the project’s tasks and deliverables, coordinate and assign work to team members and be accountable of technical and architectural decisions. Key technical skills:
  • In depth MS SQL Server experience (SSIS, SSAS, T-SQL and SSRS)
  • Data Modelling for both Tabular and Multidimensional models.
  • Functional and technical design of DW (star schema, snowflakes and constellation)
  • Physical architecture design for large enterprise BI solutions.
  • Data Analysis by applying data profiling rules.
  • Advanced DAX and MDX
  • SSIS for ETL package development
  • Data analytical skills (data mining experience is a plus)
  • Data model optimization and performance tuning.
  • Follow defined methodology and standards including preparation and maintenance of documentation for all stages of BI project execution.
  • Practical experience with Power BI stack.
     

Educational Qualifications & Certifications

Minimum Degree Required: Bachelor Degree
Minimum Years of Experience: 3 year(s)