ETIC, Fabric Data Engineer - Senior Associate

PwC is hiring an ETIC, Fabric Data Engineer - Senior Associate in Cairo, Egypt. Level rates it ; you can apply on PwC.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Databricks.
Level classifies it as a senior role.
Level lists 3,700+ other open roles at PwC.

AI in this role

Databricks

Line of Service

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.

We are seeking a highly skilled and motivated Fabric Data Engineer – Senior Associate to join our dynamic team. This role is ideal for professionals with 4–6 years of experience in cloud data engineering, particularly within the Microsoft ecosystem. You’ll play a key role in designing, developing, and optimizing data solutions using Microsoft Fabric and Azure services, while contributing to cutting-edge data architecture strategies.

Key Responsibilities

Architect and implement scalable data solutions using Microsoft Fabric Cloud Architecture
Design and develop data pipelines using Azure Synapse, Synapse Spark, Azure Data Factory, or Synapse Pipelines
Collaborate with cross-functional teams to deliver solutions in consulting or professional services environments
Apply best practices in CI/CD using Azure DevOps and Git
Build and maintain robust data models aligned with Data Mesh, Data Warehouse, and Lakehouse architectures
Write efficient and optimized code using T-SQL, PySpark, Python, Scala, Power Query M, or DAX
Develop interactive dashboards and reports using Power BI and automate workflows with Power Automate Apps
Ensure data security and identity management with a basic understanding of Microsoft Entra

Required Skills & Qualifications

4–6 years of hands-on experience in data engineering and cloud architecture
Proven expertise in Microsoft Fabric and Azure-based data services
Strong command of SQL (T-SQL) and PySpark for data transformation and analytics
Familiarity with CI/CD pipelines, version control, and agile development practices
Experience with Power BI, Power Automate, and scripting languages like Python and Scala
Understanding of modern data architecture principles and frameworks
Exposure to Microsoft Entra or similar identity and access management tools

Preferred Attributes

Consulting experience or client-facing project delivery
Strong analytical thinking and problem-solving skills
Excellent communication and collaboration abilities
Passion for innovation and continuous learning in cloud data technologies

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 Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

How we rate this

ETIC, Fabric Data Engineer - Senior Associate at PwC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.