data analyst

data engineer

senior software engineer

data scientist

senior backend engineer

database engineer

sonnen Egypt

<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, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

Finaira

<div>
 The Data / ML Engineer II will independently design, build, and maintain data infrastructure and pipelines to support the development, deployment, and scaling of data and machine learning models within the financial sector. This role requires a solid understanding of data engineering principles, proficiency in relevant tools and technologies, and the ability to translate data requirements into effective and efficient data solutions. Experience with data structures within core banking systems and common banking applications is highly desirable.
 
 
 Focus: Manage &amp; Build ML Pipelines, Refine ETL Processes &amp; Mentorship
 
 
 The difference you will make:
 
 
 <ul>
 <li>
 Independently design, develop, and maintain ETL processes and data pipelines to ingest, transform, and load data from various sources
 </li>
 <li>
 Implement and optimize data quality checks and validation procedures to ensure data accuracy and consistency across diverse banking data sources
 </li>
 <li>
 Implement and manage the automation of data pipeline execution and monitoring
 </li>
 <li>
 Build and manage data warehouses, data lakes, and other data storage solutions, considering the specific data storage and access patterns of banking systems, while enforcing data security and access control measures, adhering to banking security policies and regulations
 </li>
 <li>
 Develop and implement strategies for deploying data and machine learning models at scale
 </li>
 <li>
 Collaborate with data scientists to independently understand data requirements and model dependencies, including the structure and nuances of data within banking systems
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 What you will bring to the role:
 
 
 <ul>
 <li>
 Education: Bachelor's degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Experience:
 </li>
 <li>
 3+ years of experience as a Data Engineer or in a similar role
 </li>
 <li>
 Proven experience in building and deploying data pipelines and infrastructure, preferably within the financial services industry
 </li>
 <li>
 Solid experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies
 </li>
 <li>
 Experience with machine learning model deployment and monitoring
 </li>
 <li>
 Strongly preferred: Some knowledge of core banking system data structures (e.g., Temenos)
 </li>
 <li>
 Familiarity with data from common banking applications (e.g., Salesforce, Microsoft Dynamics 365, and various POS systems)
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in at least one programming language (e.g., Python, Scala, Java)
 </li>
 <li>
 Expertise in big data technologies (e.g., Spark, Hadoop, Kafka)
 </li>
 <li>
 Strong knowledge of database systems (SQL and NoSQL)
 </li>
 <li>
 Familiarity with machine learning frameworks
 </li>
 <li>
 Solid understanding of DevOps practices and tools
 </li>
 <li>
 Experience with data warehousing and ETL tools
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Strong ownership and accountability for assigned work
 </li>
 <li>
 Excellent communication, interpersonal, and conflict resolution skills
 </li>
 <li>
 Effective time management and task prioritization
 </li>
 <li>
 Analytical thinking and problem-solving skills
 </li>
 <li>
 Ability to work independently and collaborate with teams within and across functions
 </li>
 <li>
 Ability to actively listen to customers and accurately understand their needs, expectations, and challenges
 </li>
 <li>
 Adaptability and learning agility in a fast-paced environment
 </li>
 <li>
 Strong attention to detail and a commitment to quality
 </li>
 <li>
 Receptiveness to feedback and continuous improvement mindset
 
 
 </li>
 </ul>
 
 Finaira
 
 is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Data Engineer II

<div>
 
 
 Your Responsibilities
 
 
 
 In this role, you will take ownership of the administration, operation, and continuous optimization of our database environments and selected business applications. You will act as a technical interface between business units, IT teams, and external service providers.
 
 <ul>
 <li>
 Administering and operating database servers with a strong focus on Microsoft SQL Server, both onpremises and in cloud environments
 </li>
 <li>
 Installing, monitoring, and ensuring the stable and secure operation of managed database systems
 </li>
 <li>
 Handling escalations and acting as a single point of contact for complex incidents and problems
 </li>
 <li>
 Advising internal and external customers on database architectures, backup strategies, disaster recovery, and high-availability solutions
 </li>
 <li>
 Coordinating requirements and changes between business departments, IT teams, and external service providers
 </li>
 <li>
 Creating and maintaining comprehensive technical documentation for created and modified databases
 </li>
 <li>
 Structuring, analyzing, and implementing requirements as well as performance and stability optimizations
 </li>
 <li>
 Supporting department-specific applications across 1st, 2nd, and, where required, 3rd level support
 </li>
 <li>
 Coordinating application vendors in productive environments
 </li>
 <li>
 Creating reports, analyses, and dashboards for monitoring, controlling, and management purposes
 </li>
 <li>
 Participating in on-call duties when required
 </li>
 <li>
 Taking on defined ITSM roles such as Incident Manager, Problem Manager, and Change Manager
 </li>
 <li>
 Ensuring strict compliance with information security requirements, confidentiality obligations, and all contractual and legal regulations
 </li>
 </ul>
 
 
 
 
 Your Profile
 
 
 <ul>
 <li>
 Completed vocational training as an IT Specialist, a comparable professional qualification, or a completed degree in Computer Science, Business Informatics, or a related field
 </li>
 <li>
 ITILv4 Foundation certification
 </li>
 <li>
 Broad and solid general IT knowledge across infrastructure, systems, and applications
 </li>
 <li>
 Strong hands-on experience with Microsoft SQL Server or comparable database systems
 </li>
 <li>
 Good knowledge of the Microsoft BI Stack (SSIS, SSRS, SSAS)
 </li>
 <li>
 Sound understanding of IT fundamentals such as hardware, software, and networking
 </li>
 <li>
 Fluent English skills (at least B1 level)
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 MCSA certification for Microsoft SQL Server or equivalent certifications for other database systems
 </li>
 <li>
 Knowledge of cloud architectures, preferably with Microsoft Azure or AWS
 </li>
 </ul>
</div>

Data Engineer

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We're looking for a
 
 Senior Software Engineer - Data
 
 to join the Graph &amp; Insights team within Procore's Construction Intelligence division. In this role, you'll build and scale the data platform that transforms construction project data into connected, queryable knowledge &mdash; enabling teams across Procore to surface insights, identify risks, and make smarter decisions.
 
 
 As a
 
 Senior Software Engineer - Data
 
 , you&rsquo;ll partner with other engineers, data scientists, and product managers across Product &amp; Technology to design and evolve the data architectures that power our "Helix AI" ecosystem. A core part of this role is focusing on
 
 data modeling, graph-based relationships, and high-throughput processing
 
 , ensuring that our construction intelligence tools are both performant and deeply insightful.
 
 
 This position reports to the Engineering Manager for Construction Intelligence and will be based in our
 
 Cairo office
 
 . We&rsquo;re looking for someone to join us immediately.
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 Create scalable data pipelines and microservices using a variety of technologies such as Java, Flink, Kafka, and Airflow.
 </li>
 <li>
 Participate in designing and building systems that are aligned with Procore&rsquo;s technical vision of a service-oriented architecture.
 </li>
 <li>
 Design and maintain graph data models and relationship-based architectures to provide a unified view of construction data.
 </li>
 <li>
 Work up and down the stack to ship code for our microservices and Flink jobs, and dive deep into the database layer to handle complex relational and graph querying needs.
 </li>
 <li>
 Implement and maintain algorithms and techniques to reduce data redundancy.
 </li>
 <li>
 Work in building applications using LLMs and GAIs.
 </li>
 <li>
 Monitor, analyze, and optimize the performance of our data pipelines and graph platforms.
 </li>
 <li>
 Maintain and evolve our data platforms to have clear domain boundaries and a coherent public interface, in alignment with Procore's technical vision.
 </li>
 <li>
 Mentor junior engineers within the team, providing guidance and support.
 </li>
 <li>
 Work with other engineers and stakeholders to ensure the success of our platforms.
 </li>
 <li>
 Collaborate with Engineering, Product, and UX to design and build solutions that delight users and solve critical business problems.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in Object Oriented Programming fundamentals, Test Driven Development, and Design principles.
 </li>
 <li>
 Strong experience building and optimizing data pipelines, architectures, and datasets, with a focus on both real-time streaming and batch processing using Spark or Flink.
 </li>
 <li>
 Professional experience working with Graph Technologies (such as Neo4j or similar) and writing optimized relationship-based queries.
 </li>
 <li>
 Strong understanding of software and data engineering principles and practices.
 </li>
 <li>
 Experience with a variety of data technologies, including Apache Flink, Apache Kafka, GraphQL, REST APIs, DynamoDB, Elastic Search, MongoDB, and Graph Databases.
 </li>
 <li>
 Experience with running services on Kubernetes and familiarity with Helm charts and Terraform.
 </li>
 <li>
 Experience in cloud environments like AWS, GCP, or Azure.
 </li>
 <li>
 Experience with data deduplication algorithms and techniques.
 </li>
 <li>
 Experience with deploying machine learning and statistical modeling.
 </li>
 <li>
 Excellent problem-solving, communication, and teamwork skills.
 </li>
 <li>
 Familiarity with Python, Java, and PHP for general scripting and software development.
 </li>
 <li>
 Experience with using Large Language Models for building applications is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer - Data

Atos

<div>
 
 About Atos
 
 
 
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 
 
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 
 
 
 Senior Data Engineer
 
 
 
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 
 
 
 Responsibilities
 
 
 
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 
 
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
 
 
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
 
 
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
 
 
 Develop and maintain data integrations via APIs where necessary.
 
 
 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
 
 
 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 
 
 
 Requirements
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 
 
 5+ years of experience in data engineering.
 
 
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
 
 
 Strong experience with Python, dbt, and Airflow.
 
 
 Solid understanding of SQL and database design.
 
 
 Knowledge of API integrations.
 
 
 Experience with Tableau or other data visualization tools (nice to have).
 
 
 Demonstrated ability to work independently and within a collaborative team environment.
 
 
 Strong analytical and problem-solving skills.
 
 
 Excellent communication and interpersonal skills.
 
 
 English fluency is required; proficiency in French is a plus.
 
 
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 
 
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 
 
 
 Choose your future. Choose Atos.
 
</div>

SENIOR DATA ENGINEER

<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:
 
 Computer Science, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a motivated
 
 Data Engineer
 
 to join our
 
 Data Management and AI team
 
 and contribute to building scalable data platforms that power analytics and AI initiatives across our digital banking ecosystem.
 
 
 In this role, you will design and develop
 
 data pipelines, streaming infrastructure, and data warehouse solutions
 
 that enable reliable and high-performance data processing.
 
 
 This is an excellent opportunity for a
 
 junior data engineer
 
 looking to grow within a fast-paced fintech environment while working on modern data technologies.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack within QNBeyond Plus.
 
 
 Our team collaborates with engineering, analytics, and product teams to manage, process, and analyze data that enables innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Pipeline Development
 
 <ul>
 <li>
 Design and build scalable
 
 data pipelines for batch and real-time processing
 
 .
 </li>
 <li>
 Implement ETL/ELT workflows integrating data from
 
 APIs, databases, and event streams
 
 .
 </li>
 </ul>
 
 Streaming &amp; Event Processing
 
 <ul>
 <li>
 Develop and maintain
 
 streaming data pipelines using tools such as Kafka or similar platforms
 
 .
 </li>
 <li>
 Ensure
 
 low-latency, reliable, and fault-tolerant data delivery
 
 .
 </li>
 </ul>
 
 Data Transformation
 
 <ul>
 <li>
 Develop
 
 data enrichment and transformation workflows
 
 to convert raw data into business-ready datasets.
 </li>
 <li>
 Implement SQL transformations across layered architectures (
 
 raw &rarr; bronze &rarr; silver &rarr; gold
 
 ).
 </li>
 </ul>
 
 Data Warehouse Development
 
 <ul>
 <li>
 Design and maintain
 
 data warehouse models and schemas
 
 .
 </li>
 <li>
 Optimize query performance and storage design for analytical workloads.
 </li>
 </ul>
 
 Data Quality &amp; Reliability
 
 <ul>
 <li>
 Implement
 
 data validation and quality checks
 
 .
 </li>
 <li>
 Monitor data pipeline performance and ensure reliability.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 engineering, analytics, and product teams
 
 to deliver production-ready data solutions.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges analytically
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality data solutions
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 Education
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Computer Engineering, or related field
 
 </li>
 </ul>
 
 Technical Knowledge
 
 <ul>
 <li>
 Understanding of
 
 computer systems and cloud environments
 
 </li>
 <li>
 Understanding of
 
 network protocols and system connectivity
 
 </li>
 </ul>
 
 Systems Skills
 
 <ul>
 <li>
 Experience using
 
 Linux command line tools
 
 </li>
 <li>
 Familiarity with
 
 SSH, SFTP, Bash, IP, ports, and networking concepts
 
 </li>
 </ul>
 
 Data Engineering Skills
 
 <ul>
 <li>
 Experience developing and optimizing
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Experience with tools such as
 
 Informatica PowerCenter, Kafka, NiFi, or similar
 
 </li>
 </ul>
 
 Data &amp; Analytics
 
 <ul>
 <li>
 Strong
 
 SQL skills
 
 </li>
 <li>
 Understanding of
 
 data warehousing concepts and schema design
 
 </li>
 <li>
 Experience with
 
 data modeling and data lifecycle management
 
 </li>
 </ul>
 
 Programming
 
 <ul>
 <li>
 Programming experience using
 
 Python
 
 </li>
 <li>
 Scripting experience using
 
 Bash or similar tools
 
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience working with ETL or data engineering workflows
 
 </li>
 <li>
 Experience with
 
 Informatica PowerCenter and MDM
 
 </li>
 <li>
 Experience developing and scaling
 
 data models within modern data warehouse architectures
 
 </li>
 <li>
 Experience implementing
 
 data enrichment and transformation logic
 
 </li>
 <li>
 Experience optimizing queries and storage design for analytics workloads
 </li>
 <li>
 At least
 
 1 year of experience in fintech, regulated environments, or PCI/DSS compliance
 
 is preferred
 </li>
 <li>
 Familiarity with
 
 performance monitoring tools
 
 </li>
 </ul>
</div>

Explore 183+ Database engineer in Cairo this April. Find roles across top companies and apply now to boost your career.

183 database engineer jobs In Cairo

Data Engineer (m/w/d)

Data Engineer II

Data Engineer

Senior Software Engineer - Data

SENIOR DATA ENGINEER

Data Engineer (m/f/d)

Data Engineer