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Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI
 
 
 
 Location
 
 : Egypt (Cairo)
 
 
 
 
 
 We are expanding our team and seeking a highly skilled Data Engineer with strong expertise in Microsoft Azure, solid knowledge of machine learning, experience with modern software delivery practices, and a curious mindset toward artificial intelligence applications to join our Analytics Engineering team within the Digital &amp; Technology Platform Services (DTPS) organization at Coca‑Cola Hellenic. In this role, you will contribute to shaping the strategy, design, and development of advanced analytics solutions that deliver meaningful insights and support data‑driven decision‑making across the business. You will be part of the Data Insights and Artificial Intelligence (DIAI) team, integrating and transforming data into scalable, analytics‑ready solutions and cutting‑edge machine learning applications.
 
 
 
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, develop, implement, and optimize scalable, high performance, secure, and cost-efficient data pipelines using Microsoft Azure cloud services and large scale data technologies, including Apache Spark and PySpark built with object-oriented programming principles.
 
 
 &bull; Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency.
 
 
 &bull; Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle.
 
 
 &bull; Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner.
 
 
 &bull; Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments.
 
 
 &bull; Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring.
 
 
 &bull; Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices.
 
 
 &bull; Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles.
 
 
 &bull; Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications.
 
 
 &bull; Stay up to date with Microsoft Azure data services, large scale data tools, DevOps practices, and broader industry best practices, providing recommendations for adoption and continuous improvement.
 
 
 &bull; Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies.
 
 
 &bull; Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows.
 
 
 &bull; Support Microsoft Power Business Intelligence developers by evaluating and optimizing data connection methods and data transfer strategies, ensuring high performance, scalability, data quality, and security.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, engineering, or a related discipline (or equivalent practical experience),
 
 
 &bull; Two or more years of professional experience; Microsoft Azure Data Engineer certification is considered an advantage.
 
 
 &bull; Strong understanding of secure software development and modern software delivery practices, including continuous integration, continuous delivery, automated testing, automated deployments, and extensive experience using Git for version control
 
 
 &bull; Deep expertise with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks, with solid experience applying performance optimization techniques for analytics and reporting workloads.
 
 
 &bull; Strong hands-on experience with Apache Spark and PySpark using object-oriented programming, along with strong skills in Python and SQL to design and optimize scalable data pipelines across largescale data architectures that handle big data.
 
 
 &bull; Knowledge of Systems, Applications, and Products Business Warehouse extractors, transformations, and data export processes, along with experience working within Agile and Scaled Agile Framework environments.
 
 
 &bull; Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows.
 
 
 &bull; A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
 
 
</div>

Data Engineer

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka
 </li>
 <li>
 Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs
 </li>
 <li>
 Ensure high data quality and integrity by implementing robust data validation and testing processes
 </li>
 <li>
 Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments
 </li>
 <li>
 Monitor and troubleshoot data processing workflows to ensure timely data delivery
 </li>
 <li>
 Document data architectures, processes, and workflows for knowledge sharing and compliance
 </li>
 <li>
 Stay ahead of industry trends and best practices in big data technologies and methodologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field
 </li>
 <li>
 3+ years of experience as a Big Data Engineer or in a similar data engineering role
 </li>
 <li>
 Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka
 </li>
 <li>
 Strong coding skills in programming languages like Java, Scala, or Python
 </li>
 <li>
 Familiarity with data processing frameworks and ETL tools
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery)
 </li>
 <li>
 Analytical mindset and excellent problem-solving abilities
 </li>
 <li>
 Strong communication skills to collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with machine learning frameworks and algorithms is a plus
 </li>
 <li>
 Knowledge of data governance and security best practices
 </li>
 <li>
 Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 1- Attractive Package.
 
 
 2- Family Benefits.
 
 
 3- Visa.
 
 
 4-Air Tickets.
</div>

Big Data Engineer

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

Data Engineer (m/f/d)

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

<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)

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

Capgemini

<div>
 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Design and implement robust, scalable data pipelines (e.g., ADF Pipelines, Databricks).
 </li>
 <li>
 Develop maintainable ETL pipelines using PySpark following coding guidelines.
 </li>
 <li>
 Perform data model development and versioning.
 </li>
 <li>
 Work with Azure cloud infrastructure: Data Factory, Data Lake, Databricks.
 </li>
 <li>
 Develop and monitor schema and data migrations.
 </li>
 <li>
 Optimize ETL performance.
 </li>
 <li>
 Transform SQL code into Databricks workflows written in Python.
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Programming: Python, PySpark, PowerShell (optional), pytest (optional).
 </li>
 <li>
 Databases: SQL, MS SQL Server, T-SQL, data modelling techniques.
 </li>
 <li>
 Azure Stack: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Cosmos DB.
 </li>
 <li>
 Practices &amp; Tools: Clean code, DevOps, Testing, CI/CD (Azure DevOps, Git).
 </li>
 <li>
 Operating Systems: Windows, Azure.
 </li>
 <li>
 Methods: Scrum, Agile.
 
 
 </li>
 </ul>
 
 Nice to have skills:
 
 
 
 <ul>
 <li>
 PowerBI.
 </li>
 <li>
 Additional programming languages.
 </li>
 <li>
 Object-oriented programming.
 
 
 </li>
 </ul>
 Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 Make it real | www.capgemini.com
</div>

Data Engineer (Databricks + PySpark)

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