ETIC, Data Engineer, Senior Associate

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

Level's read on this job

On Level's scale, this data engineer role is 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

Specialism

Management Level

Administrative

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.

Data Engineer Job Description

Background:

As a team we deliver and maintain bespoke .NET technology solutions for customer’s needs.

Job Description:

We're looking for a versatile Data Engineer who’s equally comfortable building data pipelines as they are digging into complex SQL queries and supporting ad hoc data needs. This role straddles the line between engineering and analytics, requiring someone who thrives on solving business problems through data and has a strong grasp of relational databases, data modeling, and hands-on data manipulation.You’ll play a key role in maintaining data accuracy across systems, supporting stakeholders with one-off data needs, and making targeted updates directly in production databases.

Responsibilities:

Write SQL queries to extract, analyze, and transform data for business reporting or internal use.
Create and execute ad hoc insert, update, and delete scripts in complex relational databases.
Partner with analysts, product managers, and business stakeholders to fulfill one-off data requests and generate insights.
Ensure data integrity and accuracy when performing manual interventions or debugging data issues.
Collaborate with engineering teams to optimise database structure and improve data quality.
Document queries, data structures, and one-off scripts for transparency and repeatability.
Design, develop, and maintain data pipelines and ETL/ELT processes in Azure Cloud environments (Data Factory / Logic Apps / Synapse / Databricks)

Requirements:

5+ years of experience in data engineering, analytics, or database administration roles.
Strong proficiency in SQL (including CTEs, window functions, subqueries).
Basic proficiency in Python for maintaining and updating existing ETL processes.
Deep understanding of relational database systems.
Experience writing safe, efficient data modification scripts for use in production environments.
Strong communication skills – able to explain technical data issues to non-technical stakeholders.
Excellent problem-solving and analytical skills.
Strong attention to detail and ability to work in a fast-paced environment.

Nice to haves:

Experience working with Azure cloud platforms such as Data Factory, Logic Apps, Synapse etc.
Experience working with Azure App Insights to identify and resolve application errors resulting from data quality issues.
Basic proficiency with .NET to enhance investigation into errors within the applications.

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), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy {+ 22 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, Data Engineer, Senior Associate at PwC rates 15 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.