# Data Platform Engineer at Orange

Orange is hiring a Data Platform Engineer. Level rates it Little AI ●○○○; you can [apply on Orange](https://jobsbylevel.com/go/49d7e580-0ac4-45fc-baf8-e2e520a80662?utm_medium=ai-agent).

AI Level 1, AI centrality 35 out of 100. HELIOPOLIS,EGYPT.

## Details

- Company: [Orange](https://jobsbylevel.com/companies/orange)
- AI level: AI Level 1 (score 35 out of 100)
- Location: HELIOPOLIS,EGYPT
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/49d7e580-0ac4-45fc-baf8-e2e520a80662?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-platform-engineer-at-orange-cd2c43

## Prepare for this job

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## Description

Publication date : Apr 17, 2026, 12:00AM 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. Your day-to-day missions You contribute to the design, deployment and operation of data platforms on Microsoft Azure, with a strong focus on Microsoft Fabric, ensuring reliability, scalability and security in production environments. You work closely with data engineers, data scientists and application teams to industrialize data ingestion, transformation and consumption on Azure and hybrid platforms. You build and maintain the data pipelines, storage layers and services required for analytics and AI use cases (batch and/or streaming), leveraging Azure data services and Microsoft Fabric capabilities. You help automate and standardize platform services (templates, CI/CD, infrastructure as code, monitoring) to accelerate delivery while keeping quality high. You participate in incident analysis, capacity planning and continuous improvement of the data platform, contributing to a strong reliability and performance culture. Occasional missions and example projects You may contribute to the rollout of new platform capabilities, such as new Microsoft Fabric workspaces, data products or self-service data features for business teams. You can be involved in migration projects from legacy on-premise solutions to Azure and Microsoft Fabric, in collaboration with architecture and security teams. You may participate in internal communities of practice, tech talks or proof-of-concept projects around modern data stack components and best practices on Azure. Skills you will develop This position offers you the opportunity to deepen your expertise in data platform engineering on Azure, from build to run. You will strengthen your skills in Azure data services and Microsoft Fabric, data storage and processing, automation, observability and reliability, while gaining experience on real-life, large-scale data use cases. You will also develop your ability to collaborate with cross-functional teams, translate business and analytics needs into robust data platform services, and grow your autonomy and technical leadership in an international and agile environment. Benefits of the role Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior Data Platform Engineer, Data Platform Tech Lead or roles focused on data architecture. You will also be able to move towards positions combining data platform engineering with AI/ML or BI, depending on your aspirations and strengths. The team You will join an international team combining diverse expertise in data, AI, BI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow. Experience and education You have between 3 and 5 years of professional experience in a relevant technical role (for example: data engineer, platform engineer, DevOps engineer, software engineer) and hold at least a Bachelor’s or Master’s degree (or equivalent) in computer science, engineering or a related field. Your hard skills Good knowledge and hands-on experience with Microsoft Azure, in particular its managed services for data (for example Azure Data Lake, Azure Synapse, Azure SQL, Azure Databricks) and Microsoft Fabric. Solid experience with data processing and pipelines (for

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