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Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Translate reporting and analytics needs into scalable data models (star/snowflake), conformed dimensions, and data marts.
 </li>
 <li>
 Evolve the data warehouse architecture and schema design to support new use cases and performance goals.
 </li>
 <li>
 Build and maintain ETL/ELT pipelines in Python/SQL; orchestrate workflows and enforce data quality checks.
 </li>
 <li>
 Implement a semantic/metrics layer to support consistent KPIs and enable self-service analytics.
 </li>
 <li>
 Define and run data quality tests, anomaly detection, lineage, and documentation to improve trust in data.
 </li>
 <li>
 Integrate diverse data sources (operational systems, relational DBs, Elasticsearch, APIs, message queues).
 </li>
 <li>
 Optimize performance (partitioning, indexing, clustering, materialized views) for reporting and ad-hoc analysis.
 </li>
 <li>
 Maintain security, confidentiality, and integrity of data in line with relevant regulations; implement RBAC and data masking where appropriate.
 </li>
 <li>
 Partner with analysts to design dashboards and reporting assets; enable BI best practices and governance.
 </li>
 <li>
 Participate in the on-call rotation to ensure data pipelines and services remain reliable.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Advanced SQL and data modeling skills (dimensional modeling, SCDs, normalization vs. denormalization).
 </li>
 <li>
 Strong Python for data processing (e.g., pandas, SQLAlchemy) and building ETL/ELT with automated testing.
 </li>
 <li>
 Experience with CI/CD for data (Git, code reviews, data tests using dbt/Great Expectations or similar).
 </li>
 <li>
 Experience with at least one of: PostgreSQL, MySQL/MariaDB, or Elasticsearch.
 </li>
 <li>
 Orchestration and transformation tools (e.g., Airflow/Prefect and/or dbt).
 </li>
 <li>
 Comfortable with Linux, Docker, and Git.
 </li>
 <li>
 BI/visualization experience (e.g., Power BI, Tableau, Looker, Superset, or Metabase) and dashboard design fundamentals.
 </li>
 <li>
 Writing tests gives you confidence in your code.
 </li>
 <li>
 Willingness to work in an on-call rotation.
 </li>
 <li>
 Full professional proficiency in English (written and verbal ) essential
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Plus:
 
 
 
 <ul>
 <li>
 Experience with message queues and streaming (RabbitMQ, Kafka).
 </li>
 <li>
 Exposure to modern cloud warehouses (Snowflake, BigQuery, Redshift) or columnar/time-series stores (ClickHouse, TimescaleDB).
 </li>
 <li>
 Experience with Kubernetes for deploying data workloads.
 </li>
 <li>
 Data catalog/lineage tooling (DataHub, OpenLineage, Amundsen) and metrics layer design (dbt metrics, LookML, semantic layers).
 </li>
 <li>
 Security telemetry analytics experience and governance for sensitive data (RBAC, masking, GDPR).
 
 
 </li>
 </ul>
 You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Analytics Engineer

Hassan Allam Holding

<div>
 <ul>
 <li>
 Design, develop, and maintain scalable data pipelines using tools like Power BI, SQL, and Python.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Build and optimize data models to support reporting and analytical needs.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Clean and transform data using Power Query (M language).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Write DAX measures and calculated columns to enable meaningful insights.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Collaborate with analysts and business users to understand reporting requirements.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Validate data accuracy and resolve mismatches or inconsistencies.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Develop and apply data validation rules to ensure consistency and integrity.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Optimize ETL processes for performance, reliability, and scalability.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Monitor data pipeline health and troubleshoot issues during refresh or transformation.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Maintain clear documentation for data models, business logic, and transformation steps.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Authorized to build and manage dataflows, datasets, and models within the business intelligence platform.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Authorized to develop and deploy analytical dashboards for internal business units.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Authorized to propose improvements to data models, queries, and reporting processes for better performance and accuracy.
 </li>
 </ul>
 
 
 Qualification
 
 
 
 Bachelor's Degree in Computer Science, Engineering, or related field
 
 
 
 Education
 
 
 
 BSc or higher in Data Analytics, Information Systems, or equivalent
 
 
 
 Total Years of Experience
 
 
 
 2 - 3 years
 
 
 
 Years of Relevant position
 
 
 
 Minimum 1 year in data analytics
 
 
 
 Professional Certification
 
 
 
 Power BI, Microsoft Fabric, SQL, Python or similar (preferred)
 
 
 
 Work Experience (Previous work Industries)
 
 
 
 Construction, Engineering
 
 
 
 Language
 
 
 
 Fluent in English
 
 
 
 Computer Skills
 
 
 
 Power BI, SQL, DAX, M, Python, Excel, Fabric
 
</div>

Data Analytics 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, SQL, Database, Technology
</div>

Data Engineer (m/w/d)

<div>
 At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
 
 
 This Position reports to:
 
 
 Local/Hub Division Manager
 
 
 We are seeking a skilled and motivated
 
 Field Service Engineer
 
 with expertise in
 
 instrumentation and process analyzers
 
 to join ABB Measurements and Analytics Division - technical services team. In this role, you will be responsible for providing on-site support to customers by installing, commissioning, calibrating, and maintaining instrumentation and industrial process analyzers and analytical systems used in process automation and control.
 
 
 
 You will be mainly accountable for:
 
 
 
 <ul>
 <li>
 Living ABB&rsquo;s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business
 </li>
 <li>
 Deploying technical Service capabilities and troubleshooting skills to perform successful commissioning &amp; Start-up, regular maintenance, rehabilitation and conducting professional troubleshooting and site training for ABB Instrumentation and Process Analytics devices and Analytical systems
 </li>
 <li>
 Recommending and preparing of spare parts list based on installed base
 </li>
 <li>
 Supporting Sales Support team to conduct Site Surveys Activities for projects
 </li>
 <li>
 Taking all measures to secure maximum level of customers satisfaction for provided services and Handling customer feedback (Net Promoter Score (NPS)
 </li>
 <li>
 Promoting ABB Measurement and Analytics Advanced Services portfolio by exploring customer&rsquo;s needs and raise sales/service opportunities
 </li>
 <li>
 Regularly update and compliance to Services Reporting Platforms / Systems
 
 
 </li>
 </ul>
 
 Qualifications for the role:
 
 
 
 <ul>
 <li>
 You possess bachelor&rsquo;s degree in Electrical/Electronics/Mechatronics engineering, chemical engineering background is a plus
 </li>
 <li>
 You have 5+ years of experience in Process Analytics (like: Liquid Analyzers, Continuous Gas analyzers &amp; Gas Chromatography) and instrumentation service is a MUST &amp; Experience in ABB analytical and instrumentation products is a plus
 </li>
 <li>
 You are at ease communicating in English &amp; Arabic language. French language would be an advantage
 </li>
 <li>
 Ability to demonstrate advanced-level skills in using digital platforms, CRM and ERP systems
 </li>
 <li>
 You possess key skills required: time management, organizational ability, stress management, critical thinking and problem-solving skills
 </li>
 <li>
 You are willing to travel covering up customer sites across Egypt, North and Central of Africa Regions
 
 
 </li>
 </ul>
 We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
</div>

Field Service Engineer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Group Data, Insights &amp; Artificial Intelligence (DIAI)
 
 
 
 Location:
 
 Egypt
 
 
 
 
 
 As a Data Quality Engineer, you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic&rsquo;s Data Quality Management products, with a primary focus on the Data Control Center (DCC).
 
 
 You will work closely with the Data Quality &amp; Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization.
 
 
 This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms, combined with full ownership of deliverables from design to production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable and automated data quality solutions.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES
 
 
 
 
 
 
 
 Data Quality Controls (DCC)
 
 
 
 &bull; Build, configure and maintain Data Quality controls in the Data Control Center (DCC).
 
 
 &bull; Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives.
 
 
 &bull; Ensure DQ controls are aligned with agreed business definitions and standards.
 
 
 
 
 
 
 Monitoring, Operations &amp; Issue Resolution
 
 
 
 &bull; Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability.
 
 
 &bull; Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders.
 
 
 &bull; Support incident resolution and contribute to continuous operational improvements.
 
 
 
 
 
 
 Continuous Improvement &amp; Enhancement
 
 
 
 &bull; Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities.
 
 
 &bull; Identify opportunities to improve automation, scalability and reusability of controls and monitoring processes.
 
 
 &bull; Identify opportunities to automate monitoring and reduce manual effort for stakeholders.
 
 
 
 
 
 
 Reporting &amp; Dashboards
 
 
 
 &bull; Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns.
 
 
 &bull; Support stakeholders with insights and reporting to track performance and drive quality improvement actions.
 
 
 
 
 
 
 Data Standards Operationalization
 
 
 
 &bull; Support data standards operationalization by ensuring alignment between published standards and DQ checks.
 
 
 &bull; Support adoption and compliance visibility by enabling reporting and transparency on standards adherence.
 
 
 
 
 
 
 Collaboration &amp; Delivery Support
 
 
 
 &bull; Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption.
 
 
 &bull; Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement.
 
 
 &bull; Run demos and workshops when needed to support rollout, stakeholder understanding and adoption.
 
 
 Testing, Release &amp; Documentation
 
 
 &bull; Support release and testing activities, including UAT support and regression testing.
 
 
 &bull; Maintain basic documentation of implemented DQ checks, logic, definitions and changes.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; 3+ years in data engineering / analytics engineering / data quality engineering
 
 
 &bull; Strong SQL and Python for scalable data validation and monitoring
 
 
 &bull; Experience working with Databricks and modern data pipelines (ADF or similar)
 
 
 &bull; Strong analytical and problem-solving mindset with attention to detail and quality.
 
 
 &bull; Ability to translate business requirements into technical implementation and measurable outcomes.
 
 
 &bull; Comfortable working across multiple stakeholders in a cross-functional environment.
 
 
 &bull; Strong communication skills and ability to explain technical topics to non-technical audiences.
 
 
 &bull; Ownership mindset: proactive, reliable and continuously improving solutions.
 
 
 
 
 
 
 REQUIRED TECHNICAL SKILLS
 
 
 
 &bull; SQL
 
 
 &bull; Python
 
 
 &bull; PySpark
 
 
 &bull; Azure Databricks
 
 
 &bull; Azure Data Factory
 
 
 &bull; Power BI
 
 
 
 
 
 
 NICE TO HAVE
 
 
 
 &bull; Power Platform (Power Automate, etc.)
 
 
 &bull; Microsoft Fabric
 
 
 &bull; Copilot Studio
 
 
 &bull; Experience working in a Data Mesh framework and/or domain data product mindset
 
 
 &bull; Good awareness of key SAP MDG, MM, S/4HANA domains
 
 
 
 
 
 
 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 - for us and for you - 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 Control & Data Quality Engineer

Valeo

<div>
 <ul>
 <li>
 Responsibilities
 </li>
 <ul>
 <li>
 Participate in Analytics projects in GCP
 </li>
 <li>
 Design, build, and optimize scalable data pipelines for ingestion, processing, and validation.
 </li>
 <li>
 Monitor and optimize cloud environments for performance, security, and cost efficiency.
 </li>
 <li>
 Manage and configure GCP resources such as BigQuery, Cloud Functions, Cloud Storage, and other GCP services. .
 </li>
 <li>
 Ensure data quality and validation across the analytics ecosystem.
 </li>
 <li>
 Implement cloud security best practices and ensure compliance with industry standards.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data from multiple sources and improve data flows.
 </li>
 <li>
 Explore and experiment with new use cases in Data Analytics, Data Engineering, and AI.
 </li>
 <li>
 Troubleshoot and resolve cloud and data pipeline issues to improve system reliability.
 </li>
 <li>
 Provide insights and recommendations for cloud cost optimization and resource management.
 </li>
 <li>
 Collect, analyze, and align business requirements with stakeholders for data-driven solutions.
 </li>
 <li>
 Develop and maintain clear documentation for data processes, cloud architecture, and best practices.
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education/Training
 </li>
 <li>
 BSc degree in computer engineering, computer science or any similar technical field of study
 </li>
 <li>
 Languages
 </li>
 <li>
 Excellent command of English language is a must (Written and Verbal)
 </li>
 <li>
 French fluency is a plus.
 </li>
 </ul>
</div>

Senior Google Cloud Data Engineer, Valeo Service

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 <ul>
 <li>
 Responsibilities
 </li>
 <ul>
 <li>
 Participate in Analytics projects in GCP
 </li>
 <li>
 Design, build, and optimize scalable data pipelines for ingestion, processing, and validation.
 </li>
 <li>
 Monitor and optimize cloud environments for performance, security, and cost efficiency.
 </li>
 <li>
 Manage and configure GCP resources such as BigQuery, Cloud Functions, Cloud Storage, and other GCP services. .
 </li>
 <li>
 Ensure data quality and validation across the analytics ecosystem.
 </li>
 <li>
 Implement cloud security best practices and ensure compliance with industry standards.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data from multiple sources and improve data flows.
 </li>
 <li>
 Explore and experiment with new use cases in Data Analytics, Data Engineering, and AI.
 </li>
 <li>
 Troubleshoot and resolve cloud and data pipeline issues to improve system reliability.
 </li>
 <li>
 Provide insights and recommendations for cloud cost optimization and resource management.
 </li>
 <li>
 Collect, analyze, and align business requirements with stakeholders for data-driven solutions.
 </li>
 <li>
 Develop and maintain clear documentation for data processes, cloud architecture, and best practices.
 
 </li>
 </ul>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education/Training
 </li>
 <li>
 BSc degree in computer engineering, computer science or any similar technical field of study
 </li>
 <li>
 Languages
 </li>
 <li>
 Excellent command of English language is a must (Written and Verbal)
 </li>
 <li>
 French fluency is a plus.
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 Business Applications Analyst
 
 
 
 D&eacute;partement~
 
 
 
 IS SSC
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-08
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Explore 260+ Analytics engineer in Cairo Egypt this March. Find roles across top companies and apply now to boost your career.

260 analytics engineer jobs In Cairo Egypt

Analytics Engineer

Data Analytics Engineer

Data Engineer (m/w/d)

Field Service Engineer

Data Control & Data Quality Engineer

Senior Google Cloud Data Engineer, Valeo Service

Senior Google Cloud Data Engineer, Valeo Service