63 Azure Engineer jobs in Egypt

Role Description

This is a full-time, on-site role for a Microsoft Azure Administrator located in Giza. The Microsoft Azure Administrator will be responsible for managing and overseeing the Azure cloud environment, including system administration, troubleshooting, and ensuring infrastructure and network security. Daily tasks will include monitoring system performance, conducting routine maintenance, and implementing security measures to protect data and resources.

Qualifications

• Experience in Cloud Administration and System Administration
• Skills in Troubleshooting and problem-solving
• Strong understanding of Infrastructure management and Network Security
• Excellent attention to detail and organizational skills
• Ability to work collaboratively in a team environment
• Relevant certifications in Microsoft Azure or related fields are a plus
• Bachelor's degree in Computer Science, Information Technology, or related field is preferred

Envision Employment Solutions is currently looking for an Azure Data Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services.

This position requires flexibility to work on US times and flexibility to travel abroad when needed.

Job Summary:

As an Azure Data Engineer in our team, you will be responsible for assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. You also will develop and support the implementation and integration of these new data sources into our Azure Data platform.

Responsibilities:

• You are required to do detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness, and business value.
• You are required to design, document, develop, implement, and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
• You are required to participate in early state design and feature definition activities.
• Responsible for implementing robust data pipeline using Microsoft toolset and Databricks Stack
• Responsible for creating reusable and scalable data pipelines
• You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.

• 5+ years of experience in the Azure Domain with minimum 4 years of relevant experience.
• Minimum 3 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.
• Automotive domain experience is must.
• Knowledge/Experience with Azure cloud stack.
• Knowledge of SAP IS-Auto, SAP BW/BO, Tableau, PowerBI will be considered as added advantage.
• Bachelor's degree in Computers or allied field of study.
• Certification on Azure platform toolsets will be considered as added advantage

Skills:

• Advanced working knowledge and experience with relational and non-relational databases
• Experience building and optimizing Big Data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Expertise in Azure Datafactory, Databricks, Eventhub, Python, PySpark ,Azure Synapse and SQL.
• Azure Devops experience mandatory to deploy the Data Objects.

• Competitive Salary based on experience

• Social and medical insurance

• Learning, development and career progression

As an Azure Data Engineer in our team, you will be responsible for assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. You also will develop and support the implementation and integration of these new data sources into our Azure Data platform.

• You are required to do detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness, and business value.
• You are required to design, document, develop, implement, and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
• You are required to participate in early state design and feature definition activities.
• Responsible for implementing robust data pipeline using Microsoft toolset and Databricks Stack
• Responsible for creating reusable and scalable data pipelines
• You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.

Skills:

• Advanced working knowledge and experience with relational and non-relational databases
• Experience building and optimizing Big Data pipelines, architectures, and data sets
• Strong analytic skills related to working with unstructured datasets
• Expertise in Azure Datafactory, Databricks, Eventhub, Python, PySpark ,Azure Synapse and SQL.
• Azure Devops experience mandatory to deploy the Data Objects.

• 5+ years of experience in the Azure Domain with minimum 4 years of relevant experience.
• Minimum 3 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.
• Automotive domain experience is must.
• Knowledge/Experience with Azure cloud stack.
• Knowledge of SAP IS-Auto, SAP BW/BO, Tableau, PowerBI will be considered as added advantage.
• Bachelor's degree in Computers or allied field of study.
• Certification on Azure platform toolsets will be considered as added advantage

As an Azure Data Engineer in our team, you will be responsible for assessing complex new data sources with a variety of SAP and non-SAP source system and quickly turning these into business insights ready data sets. You also will develop and support the implementation and integration of these new data sources into our Azure Data platform.

Responsibilities:

• You are required to do detailed analysis of structured, semi-structured and unstructured data sources for quality, completeness, and business value.

• You are required to design, document, develop, implement, and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.

• You are required to participate in early state design and feature definition activities.

• Responsible for implementing robust data pipeline using Microsoft toolset and Databricks Stack
• Responsible for creating reusable and scalable data pipelines

• You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into

Skills:

• Advanced working knowledge and experience with relational and non-relational databases

• Experience building and optimizing Big Data pipelines, architectures, and data sets

• Strong analytic skills related to working with unstructured datasets

• Expertise in Azure Datafactory, Databricks, Eventhub, Python, PySpark ,Azure Synapse and SQL.

• Azure Devops experience mandatory to deploy the Data Objects.

Qualifications and Experience:

• 5+ years of experience in the Azure Domain with minimum 4 years of relevant experience.

• Minimum 3 implementation experience from conceptualization to delivery of analytics capabilities on Azure platform.

• Automotive domain experience is must.

• Knowledge/Experience with Azure cloud stack.

• Knowledge of SAP IS-Auto, SAP BW/BO, Tableau, PowerBI will be considered as added advantage.

• Bachelor's degree in Computers or allied field of study.

• Certification on Azure platform toolsets will be considered as added advantage

Envision Employment Solutions is currently looking for an Azure Platform Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services.

This position requires flexibility to work on US times and flexibility to travel abroad when needed.

Responsibilities:

• Develop, and maintain platforms using Azure services, adhering to best practices for scalability, reliability, and security.
• Deploy Windows and Linux servers following infrastructure as code and modern DevSecOps practices.
• Use configuration management tooling to automate the deployment and configuration of third-party software products.
• Deploy and administer Container Orchestration environments following infrastructure as code and modern DevSecOps practices.
• Deploy and maintain Container based solutions.
• Work with other platform engineers, providing guidance and mentoring juniors to help improve their skills.
• Peer review code, ensuring it is of high quality, well-structured, and maintainable.
• Contribute to a community of like-minded engineers to ensure we learn from one another and continuously improve our practices.

Requirements:

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.
• Minimum 10 years of relevant experience.
• Outstanding English communication, both verbal and non-verbal.
• Experience designing and building secure platforms on Azure using well architected framework.
• Experience with Infrastructure as Code tooling (e.g. Terraform, Bicep, Pulumi).
• Experience with Configuration Management tooling (e.g. Ansible, Puppet, Chef).
• Experience with setting up and administering Container Orchestration systems (e.g. EKS, AKS, OpenShift).
• Experience with Container technologies (e.g. Helm, Harbour).
• Experience with Build & Release Automation (e.g. Jenkins, ArgoCD, Flux, SonarQube).
• Experience with Coding Languages (e.g. Python, Bash, Powershell, Go) .
• Experience working with distributed source control solutions and following best practices e.g. Git, branching, pull requests.
• Experience in building products using enterprise integration patterns and practices (like event-driven architectures).
• Must have Azure Solution Architect certification.

Benefits:

• Competitive Salary based on experience
• Social and medical insurance
• Learning, development and career progression

Line of Service

Industry/Sector

Specialism

Management Level

Associate

Job Description & Summary

The Data Engineering Associate helps evaluate requirements, assist in design discussions and sprint planning for the construction of data pipelines, Extraction, and Transformation logic. They will be competent in Python Programming, SOLID, and DRY Design principles. The SA Data Engineer will leverage their skills in relational databases, cloud storage, and data wrangling to support business decisions and insights. The role requires a strong foundation in data management practices and the ability to mentor junior engineers.

Job Description

Key Responsibilities:

• Build, and maintain scalable data pipelines and architectures to process large volumes of data efficiently.
• Implement and manage relational databases and relational database management systems (RDBMS) using Python, SQL and other languages.

Engage in data wrangling and cleaning processes to ensure data quality and consistency.
- Conduct code reviews and adhere to coding standards to maintain the quality and integrity of data engineering solutions.
- Collaborate with cross-functional teams to identify data requirements and implement appropriate data solutions.
- Mentor junior engineers and provide guidance on best practices in data engineering.

Required Skills & Experience:

• 2 years experience.
• SOLID and DRY Programming principles - The ability to plan, execute, and evaluate code for compliance with industry best practices
• Python Programing - The ability to write efficient, executable code for the creation of Data Pipelines
• Restful APIs - The ability to integrate API calls into dat streams
• Azure Databricks or similar product (Microsoft Fabric, etc.) - Create Jupyter Notebooks using Python Libraries, create and manage workflows and pipeline
• Set Theory - foundational principles for handling data organization, relationships, and operations within large data sets. This knowledge allows them to efficiently manipulate, query, and integrate data, ensuring accurate and scalable solutions for complex data engineering tasks.

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, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

Description
At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation lies in building lasting relationships with our clients and a focus on delivering value in all we do. We're a network of firms in 158 countries with more than 236,000 people who are committed to delivering world-class capabilities and quality in assurance, tax and advisory services.

Established in the region for 40 years, PwC Middle East employs over 4,200 people across 12 countries. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.

Line of Service
Industry/Sector
Specialism
Management Level
Associate

Job Description & Summary
The Data Engineering Associate helps evaluate requirements, assist in design discussions and sprint planning for the construction of data pipelines, Extraction, and Transformation logic. They will be competent in Python Programming, SOLID, and DRY Design principles. The SA Data Engineer will leverage their skills in relational databases, cloud storage, and data wrangling to support business decisions and insights. The role requires a strong foundation in data management practices and the ability to mentor junior engineers.

Job Description
Key Responsibilities:

• Build, and maintain scalable data pipelines and architectures to process large volumes of data efficiently.
• Implement and manage relational databases and relational database management systems (RDBMS) using Python, SQL and other languages.

Engage in data wrangling and cleaning processes to ensure data quality and consistency.

• Conduct code reviews and adhere to coding standards to maintain the quality and integrity of data engineering solutions.
• Collaborate with cross-functional teams to identify data requirements and implement appropriate data solutions.
• Mentor junior engineers and provide guidance on best practices in data engineering.

Required Skills & Experience

• 2 years experience.
• SOLID and DRY Programming principles - The ability to plan, execute, and evaluate code for compliance with industry best practices
• Python Programing - The ability to write efficient, executable code for the creation of Data Pipelines
• Restful APIs - The ability to integrate API calls into dat streams
• Azure Databricks or similar product (Microsoft Fabric, etc.) - Create Jupyter Notebooks using Python Libraries, create and manage workflows and pipeline
• Set Theory - foundational principles for handling data organization, relationships, and operations within large data sets. This knowledge allows them to efficiently manipulate, query, and integrate data, ensuring accurate and scalable solutions for complex data engineering tasks.

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, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}

Desired Languages
(If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date

we're looking for (
Microsoft Fabric& Azure Specialist).

Location:
Nasr city (with KSA short business trips).

Employment type:
Hybrid, full-time.

Job Summary

We are seeking a skilled Microsoft Fabric and Azure Specialist to design, configure, and maintain our enterprise data platform. This role encompasses the full technical stack from data ingestion to advanced analytics, ensuring optimal performance and reliability of all platform components.

Key Responsibilities

Azure & Fabric Platform Configuration:

• Design and configure Microsoft Fabric workspaces (F8 Dev, F16 Staging, F32 Production)

• Implement 4-layer Lakehouse architecture (Raw, Bronze, Silver, Gold layers)

• Configure OneLake storage with appropriate partitioning and optimization

• Set up Azure Data Lake Storage Gen2 with proper security and access controls

• Implement Fabric capacity management and auto-scaling policies

• Configure Fabric SQL analytics endpoints for reporting

Data Pipeline Development:

• Design and implement Azure Data Factory pipelines forinternal sources

• Configure API integrations for external data sources

• Implement incremental data loading and change data capture (CDC)

• Set up orchestration, scheduling, and monitoring for all pipelines

• Implement error handling, retry logic, and alerting mechanisms

• Optimize pipeline performance and cost

Data Cleansing & Transformation:

• Implement data quality frameworks and cleansing routines

• Design data validation and exception handling processes

• Configure data profiling and anomaly detection

• Implement master data management procedures

• Set up data lineage tracking and impact analysis

• Create data transformation logic using Spark/Python in Fabric

AI & Analytics Services:

• Configure and implement "Talk-to-Your-Data" assistant using Azure OpenAI Service

• Set up Azure Cognitive Services for Arabic and English NLP

• Implement Azure AI Search for semantic search capabilities

• Configure retrieval-augmented generation (RAG) pipelines

• Set up conversation flows using Azure Bot Service

• Implement prompt engineering and optimization

Machine Learning Implementation:

• Configure Azure AutoML for predictive analytics use cases

• Implement sentiment analysis models for customer feedback

• Set up clustering algorithms for customer segmentation

• Deploy regression models for forecasting

• Implement classification models for risk assessment

• Manage model training, versioning, and deployment pipelines

Platform Integration & APIs:

• Configure Azure API Management for secure data access

• Implement Azure App Service for web applications

• Set up Azure Static Web Apps for frontend deployment

• Configure Power BI Embedded integration

• Implement authentication using Azure AD B2C

• Set up monitoring using Azure Monitor and Application Insights

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field

• 4+ years of experience with Microsoft Azure services

• Hands-on experience with Microsoft Fabric or similar platforms

• Azure certifications (DP-600, AI-102, AZ-305 preferred)

• Strong background in data engineering and ETL/ELT processes

• Experience with Python/PySpark programming

Technical Skills

• Expert knowledge of Microsoft Fabric components

• Proficiency in Azure Data Factory and integration patterns

• Experience with Azure AI Services (OpenAI, Cognitive Services, ML)

• Strong Python, SQL, and Spark programming skills

• Understanding of Delta Lake and lakehouse architectures

• Experience with DataOps and MLOps practices

• Knowledge of data security and governance

Description
Established in the region for 40 years, PwC has around 12,000 people in 12 countries across the region: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, the Palestinian territories, Qatar, Saudi Arabia and the United Arab Emirates.

Our regional team operates across the Middle East bringing international experience delivered within the context of the region and its culture. We can bring the collective knowledge and experience of more than 370,000 people across the entire global PwC network in advisory, assurance and tax to help you find the value you are looking for.

Line of Service
Industry/Sector
Specialism
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.

Data Engineer
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
Azure Logic Apps, Data Pipelines, Microsoft Azure, Microsoft Cloud, Python (Programming Language), Structured Query Language (SQL)

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
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date