ETIC, Data Engineer, Associate

AI in this role

databricks

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Associate

Job Description & Summary

You’ll be joining our Data engineering, Reporting and Analytics practice, a core part of our Technology, Data & Analytics business unit. We support our clients in delivering a variety of transformation projects across the commercial sector from defining data strategies to helping architect, design and implement modern data and analytics solutions using the latest cloud technologies.
The role will provide you with an opportunity to work across a portfolio of clients, with a focus on large and complex organisations.
You will work in the team that reports to the Data Analytics delivery service leadership team and will be an integral part of the team based in Cairo, as well as those delivering client transformation programmes across the PwC Global Network, including the UK, Germany and Middle East.

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.

Essential skills and attributes:

● 1-3 years hands-on experience of Azure Data Factory, Data Lake Storage, Files, Blob, Synapse, Data Lake Analytics, Event Hub, Data Catalog, Stream Analytics.

● You’ll have +1 years of hands-on experience of data analytics solutions on cloud platforms
● Well versed in data architecture approaches to ingest, model and serve data from various sources including structured and unstructured data sources.
● Comfortable in implementing the right solution, whether that is ELT or ETL.
● Experience in the delivery of solutions through the full lifecycle of a enterprise data platform implementation, including data warehouses, Big Data, MDM and DQM / data profiling
● Modern data lakes and data warehouse solutions.
● Data modelling - the ability to design and implement data models from conceptual through to physical which could include slowly changing dimensions or single customer views
● Dimensional Modelling
● Experience in infrastructure elements of a cloud platform including the setup and implementation of DevOps, networking and security elements.
● Having experience within at least one business area function (e.g Marketing, Sales, Finance, Workforce, Procurement etc.)
● Experience in adapting your communication style to help translate complex technical information to audiences unfamiliar with the technologies.
● Foundational understanding of Data & Analytics architectures, definition of KPIs / metrics and insight requirements
● You should have foundational delivery knowledge in at least one of the following vendors: SAP Business Analytics, Oracle, Cognos, Informatica, IICS, SSIS, Datastage, Talend, data warehouse and data management vendors
● Experience in SQL and performance tuning of queries, ensuring solutions are both scalable and maintainable
● Some practical knowledge of core data modelling, manipulation and visualization skills- for example using tools such as Excel, Alteryx, Power BI / Tableau / Qlik

Additional Skills:

● Preferably experience in implementing data visualization using Power BI but will consider other visualization tools.
● Data modelling techniques in Data Vault, Industrial 3NF data Models ex: Accord, TDW, CLDM, etc..

Education

● University Degree, in computer science/engineering, business analytics, information systems, or other related disciplines
● Open Group Certified Technical Specialist - Data Engineering is a plus
● Alteryx Certification is a plus
● Microsoft Power BI, Tableau Certification is a plus

● Microsoft Azure Data Engineering Certification is a plus
● Microsoft Azure Fundamentals Certification is a plus

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 Development, 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

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

July 21, 2026

How we score this

ETIC, Data Engineer, Associate at PwC scores 21 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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