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Digital and Cyber - Data and Cloud - Data Engineering

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Date: Oct 14, 2025

Location: Amman, JO

Company: PwC MiddleEast

Why PwC

At PwC, your growth is our priority. We fuel potential through coaching, feedback, and challenging work that helps you build a career path as unique as you are. You’re not just joining a team—you’re becoming part of a movement that’s shaping the future. Here, you can be yourself, work with purpose and boldness, and collaborate with talented people to deliver solutions that create real impact for clients and communities. Powered by inclusive teams, cutting-edge technology, and truly meaningful work, you’ll find endless opportunities to grow, lead, and go further.
Together, we set the future in motion.

 

Consulting LoS

At PwC Consulting, we lead with insight and deliver with purpose. You’ll work alongside experts across industries to design and deliver forward-looking solutions in areas such as strategy and enterprise transformation, operational excellence, digital innovation, cyber resilience, and risk management. Our reimagined operating model brings together sector-aligned, solution-led teams empowered to move fast, think boldly, and create real impact. Whether transforming finance, enabling digital change, or shaping national visions, you’ll be part of a collaborative, forward-thinking community—built to grow with you and the world around us.

 

BU Description 

The Digital & Cyber Business Unit brings together deep technology expertise and bold thinking to help organizations thrive in a connected, data-driven world. We support clients in reimagining how they operate, serve, and grow—by harnessing the power of digital products, emerging tech, cloud, data, and cyber resilience.

Whether shaping enterprise-wide transformation or enabling targeted innovation, we work at the intersection of strategy, technology, and trust—delivering scalable solutions that empower clients to move faster, think smarter, and lead with confidence.

Job Summary

We are seeking a highly capable Senior Associate to join our Digital and Cyber – Data and Cloud practice in Jordan, with a focus on Data Engineering within the Data & AI domain. As part of PwC’s regional Consulting business, you will help clients transform how they collect, manage, and use data by designing scalable, secure, and efficient data ecosystems that enable advanced analytics and AI-driven insights. 

 

In this role, you will contribute to both local market delivery and regional engagements, working within multidisciplinary teams across the Middle East. You will apply modern engineering principles to architect, build, and optimize data pipelines, ensuring high performance and governance across hybrid and sovereign cloud environments. You will also play a key role in supporting Associates, maintaining PwC quality standards, and contributing to thought leadership within our Data & Cloud community. 

 

This role offers the opportunity to deepen your technical expertise while developing leadership and consulting skills through exposure to complex client engagements and cross-market collaboration. 

Roles & Responsibilities

Data Engineering Delivery 

  • Design, build, and maintain data ingestion, transformation, and integration pipelines across on-premises and cloud environments (Azure, GCP, AWS, Databricks, Informatica and others). 
  • Implement data lake and data warehouse solutions, ensuring scalability, resilience, and cost optimization. 
  • Apply data modelling techniques (dimensional, star schema, data vault, or equivalent) to structure data for analytics and AI workloads. 
  • Develop data quality frameworks, metadata management practices, and lineage tracking aligned with governance standards. 
  • Participate in data migration and modernization projects, contributing to architecture design, testing, and deployment phases. 
  • Integrate diverse data sources (structured and unstructured) using ETL/ELT pipelines, APIs, and real-time streaming frameworks. 
  • Collaborate with cross-functional teams to operationalize data solutions that enable analytics, visualization, and AI-driven insights. 

Collaboration and Delivery Excellence 

  • Work independently on assigned workstreams, demonstrating ownership of deliverables while supporting overall project success. 
  • Engage with clients during delivery phases, addressing data issues, providing insights, and ensuring expectations are met. 
  • Maintain quality standards across all work, performing validation checks and ensuring code, documentation, and configurations meet auditability requirements. 
  • Contribute to knowledge sharing and mentoring of junior team members, helping build internal capability in data engineering practices. 

Digital and Innovation 

  • Champion the adoption of new tools, frameworks, and practices that enhance data delivery efficiency. 
  • Support the implementation of automation for data validation, monitoring, and testing using DevOps and CI/CD pipelines. 
  • Contribute to PwC’s Data & Cloud innovation efforts by evaluating emerging technologies (e.g., AI-assisted data engineering tools, Delta Lake, Databricks Unity Catalog, and others). 

Skills and Competencies

Technical Skills 

  • Strong proficiency in SQL and Python for data processing, transformation, and automation. 
  • Proven experience with Apache Spark / PySpark for large-scale data processing and optimization. 
  • Deep understanding of data integration concepts, including batch and streaming ingestion, schema evolution, and error handling. 
  • Hands-on experience with Azure Data Factory, Databricks, Informatica or equivalent ETL/ELT platforms. 
  • Knowledge of data modelling methodologies (dimensional, star schema, data vault) and database optimization. 
  • Familiarity with cloud data architectures (Data Lakehouse, Delta Lake, Synapse, or similar). 
  • Understanding of DevOps practices for data: version control (Git/Bitbucket), CI/CD pipelines, testing automation, and environment management. 
  • Exposure to data governance and cataloging tools (e.g., Purview, Informatica, Collibra) and security controls (RBAC, encryption, compliance frameworks). 

Consulting & Delivery Skills 

  • Demonstrated ability to manage discrete project components independently and deliver high-quality outputs. 
  • Strong analytical and problem-solving skills with a structured, methodical approach. 
  • Excellent communication and stakeholder engagement, capable of translating technical detail into clear business language. 
  • Collaboration mindset with an ability to work across geographies and functions within PwC’s regional network. 
  • Bilingual Communication: Demonstrated fluency in both English and Arabic, with the ability to convey complex technical concepts effectively to diverse audiences.

Educational Qualifications & Certifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. 
  • Professional certifications (e.g., Azure Data Engineer Associate, Databricks Data Engineer, Informatica Certified Professional) are highly advantageous. 
  • 2 to 5 years of relevant professional experience in data engineering or data platform development. 
  • Proven experience delivering or supporting data integration, warehousing, and modernization projects. 
  • Prior consulting experience is preferred but not mandatory. 
  • Experience with Middle East clients or hybrid/sovereign cloud environments is advantageous.