ETIC, AWS Data Engineer, Senior Associate

PwC is hiring an ETIC, AWS 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 Works on AI ●●●○: the daily work is on AI products, without building the model.
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

As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on AWS. You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
This role requires a strong understanding of cloud data architecture and hands-on experience with AWS data services for batch and real-time data engineering.

Key Responsibilities

Design, develop, and maintain end-to-end data pipelines across structured, semi-structured, and unstructured data sources.
Implement data ingestion, transformation, and orchestration frameworks leveraging AWS Glue, Amazon Redshift, AWS Step Functions, and Amazon Managed Workflows for Apache Airflow (MWAA).
Develop and optimize ETL/ELT processes using PySpark, SQL, and Delta Lake to ensure high performance and scalability.
Implement and enforce data quality, lineage, and governance practices.
Work closely with solution architects to design modern data architectures and ensure compliance with security and privacy standards.
Participate in client workshops and technical discussions to translate business needs into technical designs.

Required Skills & Experience

3–6 years of experience in data engineering, preferably in a consulting or enterprise environment.
Strong hands-on experience with:
- AWS Data Platform: AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, Amazon Kinesis, and AWS Step Functions.
Proficiency in Python and SQL for large-scale data processing and transformation.
Solid understanding of data modeling, medallion architecture, and lakehouse principles.
Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, AWS CodePipeline).
Knowledge of data governance, lineage, and observability tools.
Experience with performance optimization, cost control, and best practices in cloud environments.

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 {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

How we rate this

ETIC, AWS Data Engineer, Senior Associate at PwC rates 64 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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.

Key facts

ETIC, AWS Data Engineer, Senior Associate is an open job at PwC.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Cairo - ETIC.
The job was posted on October 22, 2025.
Seniority: senior.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Databricks

Also common in data engineer jobs at this level

Machine learning Generative AI Snowflake Java Scala Google Cloud

Pay

Typical data engineer job: $147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

What's a project where you used Databricks hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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