Data Platform Engineer

Heliopolis, Egypt

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Build and maintain data pipelines and storage layers on Azure and Fabric
Automate platform services with templates, CI/CD and infrastructure as code
Take part in incident analysis, capacity planning and platform improvements
Help roll out new Fabric workspaces, data products and migrations from on-premise

From the employer’s posting

You build and maintain the data pipelines, storage layers and services required for analytics and AI use cases

You help automate and standardize platform services (templates, CI/CD, infrastructure as code, monitoring)

You participate in incident analysis, capacity planning and continuous improvement of the data platform

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.

Education & alternatives

- 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.

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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 5, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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From 11,046 similar postings that came down. Coming down is not always a hire.

Orange Business is hiring

26 open jobs

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Databricks
Spark
Terraform

Where the posting names them

- 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.

- 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.

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.

- 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 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.

- 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.

- 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.

- 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.

- 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.

- 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.

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Has Orange Business posted this job before?

Yes. We’ve followed one other Data Platform Engineer job there since November 2026. It is still up.

Place not statedStill up after 0 days, first seen Nov 5
This jobUp 0 days so far, first seen Nov 5

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

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