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Orange

Data Platform Engineer

Orange is hiring a Data Platform Engineer. Level rates it ; you can apply on Orange.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Databricks, Microsoft Azure and Microsoft Fabric.
  • Level classifies it as a mid-level role.
  • Level lists 915 other open roles at Orange.
  • The role was posted within the past week.

AI in this role

Design and operate data platforms on Azure and Microsoft Fabric, supporting analytics and data workloads.

databricksmicrosoft-azuremicrosoft-fabricci-cd
data-engineeringinfrastructure-as-codecloud-platforms

Publication date : Oct 28, 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
    You will work at the heart of Orange Business’ AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge Data and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
  • 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 example SQL, Python, Spark or equivalent), in production contexts.
    • Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools), ideally applied to Azure environments.
    • Familiarity with modern data platforms and tools on Azure and Microsoft Fabric, and a strong motivation to grow further in this area.
    • Understanding of data security, governance, reliability and performance considerations for production data platforms.
  • Your soft skills
    You are a team player with good communication skills, able to collaborate smoothly with data engineers, data scientists, architects and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving data and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable data services while continuously improving them.


You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.

• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
• Professional Development: training programs and upskilling/re-skilling opportunities.
• Career Growth: Internal growth and mobility opportunities within Orange.
• Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
• Reward Programs: Employee Referral Program, Change Maker Awards.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

How we rate this

Data Platform Engineer at Orange rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringInfrastructure As CodeCloud PlatformsDatabricksMicrosoft AzureMicrosoft FabricCI/CD

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where infrastructure as code was part of your work. What did you do?
  3. Tell me about a project where cloud platforms was part of your work. What did you do?
  4. What's a project where you used Databricks hands-on?
  5. Walk me through how you've used Microsoft Azure in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Infrastructure As Code, Cloud Platforms, Databricks, and Microsoft Azure. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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