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senior software engineer Jobs in Cairo Egypt

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data engineer

Paymob

<div>
 Building robust and scalable data infrastructure and systems. Participating in the development of data pipelines, data models, and data integration solutions, ensuring the efficient processing, storage, and analysis of large volumes of data. Collaborating closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and implement solutions that enable effective data-driven decision-making.&nbsp;
 
 
 RESPONSIBILITIES
 
 <ul>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, build, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into target systems, data warehouses, or data lakes. Ensure the reliability, performance, and integrity of data pipelines.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop data integration pipelines to consolidate data from multiple sources, ensuring data consistency and accuracy.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement data transformation processes to convert and cleanse data according to defined business rules and data quality standards. Handle data cleansing, data standardization, and data enrichment tasks to improve data quality and usability.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish and maintain scalable data storage systems such as relational databases, NoSQL databases, or cloud-based data warehouses. Optimize data storage and retrieval for efficient data processing and analysis.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Utilize big data technologies and frameworks such as Apache Hadoop, Apache Spark, or cloud-based services like Amazon Redshift, DMS&hellip;etc. to handle large volumes of structured and unstructured data. Implement distributed computing techniques for parallel processing and high-performance data processing.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Develop and implement data quality assurance processes, including data validation rules, data profiling, and data quality monitoring. Identify and address data quality issues, anomalies, or inconsistencies in a proactive and timely manner to decide as per high quality data.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Monitor and optimize data pipelines, data processing workflows, and data storage systems for performance and efficiency. Identify and resolve bottlenecks, optimize queries, and tune data processing operations for improved system performance to avoid any system failures.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data requirements and provide technical expertise. Document data engineering processes, data flows, and system configurations for knowledge sharing and future reference.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Stay updated with emerging technologies, trends, and best practices in the field of data engineering, continuously learn and evaluate new tools, techniques, and frameworks to improve data engineering capabilities and drive innovation.&nbsp;&nbsp;
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Drive operational excellence by overseeing daily data pipelines and infrastructure, ensuring optimal performance, reliability, and scalability. Proactively monitor and address potential issues, implement best practices, and continuously improve data workflows to enhance efficiency and system stability.
 </li>
 <li>
 
 
 
 </li>
 </ul>
 
 REQUIREMENTS
 
 <ul>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science, Communications Engineering.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2 to 3 years of experience
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in languages such as Python.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in data modeling techniques and data integration methodologies.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with ETL tools and data integration frameworks.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of relational databases, SQL, and database design principles.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark).
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of data warehousing concepts.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of on-premises and cloud data storage and processing technologies.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with data processing and manipulation libraries (e.g., pandas, NumPy).
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with data governance principles including data quality.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with data orchestration and scheduling tools like airflow.
 </li>
 <li>
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Very Good
 
 
 </li>
 </ul>
</div>

Data Engineer

Systems Limited - Egypt

<div>
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data warehouse and data marts, including ODS and internal departmental marts.
 </li>
 <li>
 Gather, process, maintain, and analyze large datasets, ensuring data accuracy and quality.
 </li>
 <li>
 Design, automate, and support ETL pipelines and data flows across multiple applications.
 </li>
 <li>
 Create logical and physical data flow models and mapping designs for ETL processes.
 </li>
 <li>
 Strong SQL skills (performance tuning, index management) and solid understanding of database structures.
 </li>
 <li>
 Strong understanding of data modeling concepts.
 </li>
 <li>
 Familiarity with SQL and NoSQL storage, and Big Data technologies (Hive, Impala, YARN, Kafka, etc.).
 </li>
 </ul>
 
 
 
 
 Informatica-specific requirements:
 
 
 <ul>
 <li>
 Hands-on experience with Informatica PowerCenter development (mappings, sessions, workflows).
 </li>
 <li>
 Strong knowledge of Informatica transformations (e.g., Lookup, Joiner, Aggregator, Expression, Router, Sorter) and performance tuning.
 </li>
 <li>
 Experience with Informatica Developer.
 </li>
 <li>
 Experience with Informatica B2B is a plus.
 </li>
 <li>
 Ability to design, automate, monitor, and troubleshoot ETL jobs, including scheduling.
 </li>
 </ul>
 
 
 
 
 Banking sector requirements (preferred):
 
 
 <ul>
 <li>
 Previous experience in the banking sector, preferably business banking, including working with banking datasets.
 </li>
 <li>
 Strong understanding of data quality and reconciliation expectations in banking environments.
 </li>
 <li>
 Experience working in regulated environments and change control practices is a strong plus.
 </li>
 </ul>
 
 
</div>

NorthBay - Pakistan

<div>
 
 Experience:
 
 5&ndash;7 Years
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Position Overview
 
 
 
 We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms. The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain batch and real-time data pipelines on AWS
 </li>
 <li>
 Implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services
 </li>
 <li>
 Assist in workflow orchestration using Apache Airflow (MWAA)
 </li>
 <li>
 Support serverless data processing using AWS Lambda
 </li>
 <li>
 Participate in designing data warehousing solutions using Amazon Redshift
 </li>
 <li>
 Design and manage data storage strategies with Amazon S3 and DynamoDB
 </li>
 <li>
 Apply data governance and access controls using AWS DataZone
 </li>
 <li>
 Monitor and troubleshoot data platform issues using Amazon CloudWatch
 </li>
 <li>
 Collaborate with Analytics, BI, Data Science, and Business teams
 </li>
 <li>
 Write clean, efficient code, and perform peer code reviews
 </li>
 <li>
 Follow security, compliance, and data governance standards
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Data Engineering or related roles
 </li>
 <li>
 3+ years of hands-on experience designing data solutions on AWS
 </li>
 <li>
 Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Advanced SQL skills with performance tuning expertise
 </li>
 <li>
 Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
 </li>
 <li>
 Familiarity with Agile/Scrum delivery environments
 </li>
 <li>
 Problem-solving and analytical skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
 </li>
 <li>
 Experience with real-time streaming (Kinesis, Kafka)
 </li>
 <li>
 Exposure to data governance and metadata management tools
 </li>
 <li>
 Knowledge of cost optimization in AWS
 </li>
 </ul>
</div>

Senior Data Engineer – AWS

Oscar

<div>
 
 
 Cairo, Egypt (Hybrid - 4 days onsite)
 
 
 
 
 650,000 EGP - 1,400,000 EGP base salary (DOE)
 
 
 
 
 Full-time | Permanent
 
 
 
 
 ( + Transportation Allowance + Strong benefits package)
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 
 
 
 
 We have partnered with a large, internationally recognised manufacturing, distribution, and sales organisation operating across multiple global markets. With a strong focus on digital transformation, data-driven decision making, and modern cloud platforms, they are investing heavily in enterprise analytics, reporting, and scalable data solutions that support both operational and strategic outcomes.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 The organisation is seeking an experienced
 
 Senior Azure Data Engineer / Developer
 
 to join its Digital &amp; Technology function, working closely with BI and Reporting teams. This role plays a critical part in designing, building, and optimising Azure-based data pipelines and analytical solutions that serve as a single source of truth for enterprise and operational reporting.
 
 
 The successful candidate will collaborate with business stakeholders, analysts, and engineers to integrate and transform data from multiple systems into high-quality, trusted datasets that power Power BI dashboards and analytics products.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL pipelines
 
 using
 
 Azure Data Factory
 
 </li>
 <li>
 Ingest and transform data from multiple source systems into
 
 Azure Data Lake Storage
 
 and
 
 Azure SQL
 
 </li>
 <li>
 Work with large-scale datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Build and optimise data solutions using
 
 Databricks, Spark, Hive
 
 , and
 
 PySpark
 
 </li>
 <li>
 Ensure data quality, integrity, availability, and performance across reporting layers
 </li>
 <li>
 Support BI teams by delivering certified datasets for
 
 Power BI
 
 consumption
 </li>
 <li>
 Collaborate with data scientists, analysts, and platform teams on data requirements
 </li>
 <li>
 Contribute to cloud best practices, DevOps processes, and CI/CD pipelines
 </li>
 <li>
 Mentor junior team members and contribute to technical decision-making (senior level)
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related discipline (or 7+ years of equivalent hands-on experience in a technical data-focused role)
 </li>
 <li>
 3&ndash;5+ years of hands-on experience working with Azure Data Factory and Azure Data Lake Storage in production environments
 </li>
 <li>
 Proven experience delivering data solutions at scale, working with large and complex datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Strong hands-on experience with Power BI, including DAX and Power Query M
 </li>
 <li>
 Solid experience with Azure SQL Database and advanced T-SQL
 </li>
 <li>
 Practical experience with Databricks, Spark, Hive, and PySpark for big data processing
 </li>
 <li>
 Strong programming skills in Python, C#, .NET, Scala, or Java
 </li>
 <li>
 Experience working with cloud platforms, preferably Microsoft Azure (experience with AWS or GCP is a plus)
 </li>
 <li>
 Good understanding of DevOps principles and experience working with CI/CD pipelines
 </li>
 <li>
 Demonstrated ability to collaborate with business and technical stakeholders to translate requirements into scalable data solutions
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Professional working proficiency in English
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 DevSecOps
 
 practices
 </li>
 <li>
 Exposure to
 
 SAFE / Agile
 
 delivery environments
 </li>
 <li>
 Knowledge of
 
 SAP BW
 
 or enterprise ERP data sources
 </li>
 <li>
 Previous leadership or mentoring experience
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Competitive salary:
 
 650,000 EGP - 1,400,000 EGP
 
 , depending on experience
 </li>
 <li>
 
 Hybrid working model
 
 (4 days onsite in Cairo)
 </li>
 <li>
 Private healthcare, annual bonus plus more benefits
 </li>
 <li>
 Transportation / Car Allowance
 </li>
 <li>
 Long-term career growth in a stable, well-funded organisation
 </li>
 </ul>
 
 
</div>

Azure Data Engineer / Developer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Computer Science, Database, SQL, Business Intelligence, Technology
</div>

Data Engineer (m/f/d)

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>

Data Engineer (m/w/d)

HireOn

<div>
 
 Senior Data Engineer
 
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Experience:
 
 8&ndash;12 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Salary Range:
 
 80,000 EGP &ndash; 160,000 EGP per month
 
 
 
 The Opportunity
 
 
 
 HireOn is recruiting for its reputed international client seeking a
 
 Senior Data Engineer
 
 to lead the architecture and delivery of enterprise-grade data platforms.
 
 
 This role goes beyond pipeline development &mdash; it requires ownership of scalable architecture, performance optimization, governance, and cross-functional collaboration. The ideal candidate is a hands-on senior engineer capable of designing robust cloud-native data ecosystems while mentoring engineers and driving technical standards.
 
 
 
 What You Will Own
 
 
 
 <ul>
 <li>
 End-to-end design of batch and real-time data pipelines
 </li>
 <li>
 Enterprise data warehouse architecture and modeling strategy
 </li>
 <li>
 Workflow orchestration and automation frameworks
 </li>
 <li>
 Performance tuning and cost optimization initiatives
 </li>
 <li>
 Data governance, cataloging, and access control frameworks
 </li>
 <li>
 Monitoring, logging, and observability implementation
 </li>
 <li>
 Technical mentorship and architecture reviews
 
 
 </li>
 </ul>
 
 Technical Environment
 
 
 
 You will work extensively with modern cloud-native data technologies including:
 
 
 AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon Redshift, Amazon S3, Amazon DynamoDB, Amazon EC2, Amazon CloudWatch, AWS DataZone
 
 
 
 Core Expertise Required In
 
 
 
 Python, Advanced SQL, Data Warehousing (Star/Snowflake), ETL/ELT best practices, Distributed Data Processing Systems
 
 
 
 What Makes You a Strong Fit
 
 
 
 <ul>
 <li>
 8&ndash;12 years of experience in Data Engineering
 </li>
 <li>
 Strong experience designing scalable cloud-based data architectures
 </li>
 <li>
 Proven ability to independently drive technical solutions
 </li>
 <li>
 Experience mentoring engineers and contributing to architectural decisions
 </li>
 <li>
 Strong communication skills for cross-functional collaboration
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Cloud Professional Certifications
 </li>
 <li>
 Experience with streaming platforms (Kinesis/Kafka)
 </li>
 <li>
 Exposure to metadata management and data lineage
 </li>
 <li>
 Experience working with enterprise-scale data platforms
 
 
 </li>
 </ul>
 Skills: aws glue,etl,amazon redshift,aws lambda,aws emr,snowflake
</div>

Senior Data Engineer (Onsite | Cairo, Egypt)

Explore 507+ Data engineer in Cairo Egypt this March. Find roles across top companies and apply now to boost your career.

507 data engineer jobs In Cairo Egypt

Data Engineer

Data Engineer

Senior Data Engineer – AWS

Azure Data Engineer / Developer

Data Engineer (m/f/d)

Data Engineer (m/w/d)

Senior Data Engineer (Onsite | Cairo, Egypt)