principal engineer, solutions architecture

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principal engineer, solutions architecture Jobs in Cairo

senior ai engineer

senior data analyst

data architect

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, SQL, Database, Technology
</div>

Data Engineer (m/w/d)

<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, Quality Assurance, Business Intelligence, Project Manager, Technology
</div>

Data Engineer (m/f/d)

Finaira

<div>
 The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Define the technical data science strategy and roadmap
 </li>
 <li>
 Lead the research and development of cutting-edge AI solutions
 </li>
 <li>
 Evaluate and implement new data science technologies and platforms
 </li>
 <li>
 Provide technical leadership and guidance to the data science team
 </li>
 <li>
 Ensure the scalability and reliability of data science infrastructure
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Master's degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
 <li>
 8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact
 </li>
 <li>
 Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
 </li>
 <li>
 Proven experience in leading and mentoring data science teams.
 </li>
 <li>
 A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)
 
 
 </li>
 </ul>
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks
 </li>
 <li>
 Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools
 </li>
 <li>
 Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools
 </li>
 <li>
 Deep understanding of Data and AI governance frameworks and requirements.
 </li>
 <li>
 Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
 </li>
 <li>
 Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications
 </li>
 <li>
 Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
 </li>
 <li>
 Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
 </li>
 <li>
 Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
 </li>
 <li>
 Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Strong ownership and accountability for assigned work.
 </li>
 <li>
 Clear and professional verbal and written communication
 </li>
 <li>
 Effective time management and task prioritization
 </li>
 <li>
 Analytical thinking and problem-solving skills
 </li>
 <li>
 Ability to work independently, collaborate effectively and mentor junior team members
 </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>

Principal Data Scientist

Modupay

<div>
 
 Job Purpose:
 
 
 Design, build, and maintain scalable data pipelines and infrastructure to support Modupay's intelligence and insights products. Ensure data reliability, availability, and quality across the organization, with a focus on supporting payments and fintech-related data needs.
 
 
 
 
 
 Key Accountabilities:
 
 <ul>
 <li>
 Develop, and maintain robust data pipelines that ingest, transform, and normalize large volumes of transaction data from multiple sources
 </li>
 <li>
 Implement incremental loading, error handling, retry logic, and pipeline monitoring to ensure SLA-driven data freshness for downstream commercial products.
 </li>
 <li>
 Build unified data models that normalize transaction data across payment schemes and local rails into consistent reporting structures, enabling cross-market and cross-product analytics.
 </li>
 <li>
 Implement data quality, validation, and testing frameworks (data contracts, automated checks, anomaly detection) to ensure integrity of data flowing into analytics products, reporting, and machine learning use cases.
 </li>
 <li>
 Ensure data quality, integrity, and consistency through monitoring, validation, and testing frameworks.
 </li>
 <li>
 Collaborate with data analysts and internal stakeholders to understand data requirements and deliver scalable solutions.
 </li>
 <li>
 Implement and maintain data governance, security, and privacy best practices in compliance with Modupay's policies and regulatory requirements.
 </li>
 <li>
 Identify performance bottlenecks and optimize query performance, data storage, and processing efficiency.
 </li>
 <li>
 Stay current with emerging technologies and industry trends, recommending improvements to the data architecture and tooling
 </li>
 </ul>
 
 
 
 
 Knowledge and Competencies:
 
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Master's degree is a plus.
 
 <ul>
 <li>
 Advanced SQL proficiency. Experience with PostgreSQL and Oracle preferred.
 </li>
 <li>
 3 years of experience in data engineering preferably within payments, fintech, or financial services.
 </li>
 <li>
 Strong data modeling skills
 </li>
 <li>
 Hands-on experience with ETL/ELT frameworks and tools
 </li>
 <li>
 Proficiency in Python or another data engineering language for pipeline development, scripting, and automation.
 </li>
 <li>
 Experience with data quality and testing frameworks
 </li>
 <li>
 Exposure to cloud data platforms (AWS, GCP, or Azure)
 </li>
 <li>
 Experience with BI/visualization tool integration
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to data accuracy and reconciliation.
 </li>
 <li>
 Effective communicator, able to translate technical data architecture decisions into business-understandable terms for analysts and product stakeholders.
 </li>
 <li>
 Fluency In English
 </li>
 </ul>
 
 
</div>

Senior Data Engineer

Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for "AI &amp; Data Engineer " with a strong foundation in data manipulation, machine learning, and natural language processing (NLP).
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 BSc in Computer Science, Engineering or relevant field.
 </li>
 <li>
 2-4 years of hands-on experience in data engineering, data architecture, or AI/ML presales.
 </li>
 <li>
 Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance
 </li>
 <li>
 Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )
 </li>
 <li>
 Familiarity with AI/ML concepts and practical applications in enterprise settings
 </li>
 <li>
 Experience creating data architecture diagrams and technical documentation
 </li>
 <li>
 Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences
 </li>
 <li>
 English and Arabic fluency
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt
 </li>
 <li>
 Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)
 </li>
 <li>
 Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes
 </li>
 <li>
 Develop technical proposals, solution architectures, and pricing models for data and AI engagements
 </li>
 <li>
 Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns
 </li>
 <li>
 Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities
 </li>
 <li>
 Collaborate with the Product Developer to align presales demonstrations with current product capabilities
 </li>
 <li>
 Contribute to thought leadership content: whitepapers, case studies, and technical blog posts
 </li>
 <li>
 Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Company website:
 
 https://www.wind-is.com
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Apply now to drive innovation and growth with our dynamic team!
</div>

Midlevel AI & Data Engineer

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)

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 We are seeking a Data &amp; BI Implementation Specialist to join our team. This role focuses on implementing data solutions while also contributing to conceptual design and process improvements. The ideal candidate combines strong technical expertise with the ability to think strategically about data architecture and reporting.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement and maintain Data Lake solutions to ensure scalable and efficient data storage.
 </li>
 <li>
 Develop and integrate APIs to enable seamless data exchange across systems.
 </li>
 <li>
 Design, build, and optimize Power BI dashboards and reports for actionable insights.
 </li>
 <li>
 Collaborate with stakeholders to translate business requirements into technical solutions.
 </li>
 <li>
 Support conceptual work such as data modeling, architecture discussions, and process design.
 </li>
 <li>
 Ensure data quality, consistency, and compliance with organizational standards.
 </li>
 <li>
 Provide documentation and knowledge transfer to end-users and colleagues.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.
 </li>
 <li>
 Minimum of 5 years of professional experience.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 German language skills are a plus.
 </li>
 <li>
 Hands-on experience with Data Lake technologies.
 </li>
 <li>
 Strong knowledge of API development and integration.
 </li>
 <li>
 Proven expertise in Power BI (reporting, dashboards, DAX, data modeling).
 </li>
 <li>
 Ability to handle implementation tasks while also contributing to conceptual design.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and collaboration abilities.
 </li>
 </ul>
</div>

Data and BI Implementation Expert

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