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Data Engineer

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What you’ll work on

Full posting
  • Develop data pipelines and data models for client projects

  • Design data pipelines and deliver analytics while keeping data integrity

  • Automate key parts of client infrastructure

  • Support business cases with analytical, data-driven work

  • Teach cloud and data topics in internal academy or lunch sessions

From the employer’s posting
development, data modelling, unit testing and, continuous deployment using the latest technologies related to Cloud solutions
Work with clients and partners to design data pipelines and deliver insightful analytics while ensuring data integrity
automating key components of client’s infrastructure
Use an analytical, data-driven approach to support business cases
Possibility to give training in our Cloud and Data Academy or present advanced tech topics during Lunch & Learn session
Education & alternatives
As an ideal candidate you have: (this should focus on requirements/experience): - A master's or bachelor's degree in IT, or a related technical field. - At least 3 years’ experience as a Data Engineer.
Apply at Orange Business

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

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

From 11,069 similar postings that came down. Coming down is not always a hire.

Orange Business is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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.

  • Bash
  • C#
  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Hadoop
  • Kubernetes
  • GCP
Where the posting names them
- Knowledge of continuous developments / deployment concepts & technologies (GIT, Azure DevOps, Gitlab, CircleCI, ...) - Basic knowledge of scripting languages (Bash, PowerShell). - Knowledge of Linux environments.
It is not a requirement, but other preferred qualifications would be: - Knowledge of at least one programming language: Java, C#, Python, Scala. - Knowledge of continuous developments / deployment concepts & technologies (GIT, Azure DevOps, Gitlab, CircleCI, ...)
- A strong interest in data manipulation (storage, crunching, pipeline implementation). - A strong SQL knowledge. - Experience with one of thecloudproviders: Azure, Google Cloud or AWS.
- A strong SQL knowledge. - Experience with one of thecloudproviders: Azure, Google Cloud or AWS. - Strong communication skills in Norwegian and English.
- At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth. - Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. - For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling
- Knowledge of at least one programming language: Java, C#, Python, Scala. - Knowledge of continuous developments / deployment concepts & technologies (GIT, Azure DevOps, Gitlab, CircleCI, ...) - Basic knowledge of scripting languages (Bash, PowerShell).
- Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. - For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling If you want to take part in this exciting journey, please take a look at the following requirements and let’s meet up if that matches your profile!

Your next step

Complete your application on jobs.digital.orange-business.com. The employer’s form will show what is required.

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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.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
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 07, 2025, 12:45PM

Are you interested in joining Orange Business as a Data Engineer?

The team, position & mission:

Ever wondered what it feels like to be at the cutting edge of digital innovation? Our team at Orange Business is a dynamic community of expert consultants revolutionizing Customer Experience, Cloud, Data, and AI across various sectors, including retail, finance, manufacturing, life sciences, and public services.

With 30 years of expertise, we remain at the forefront of innovation, revolutionizing business transformation across industry with the full potential of vanguard Data technologies at scale in a sustainable way. By joining us, you will be part of a global impact on businesses around the world.


Check out some of our ongoing projects:

  • At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth.

  • Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development.

  • For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling

If you want to take part in this exciting journey, please take a look at the following requirements and let’s meet up if that matches your profile!



Your key areas of responsibility as a Data Engineer:

As Data Engineer, your role will involve development, data modelling, unit testing and, continuous deployment using the latest technologies related to Cloud solutions.

  • Lead the Way: Use an analytical, data-driven approach to support business cases.

  • Engage with Stakeholders and Get Creative: Work with clients and partners to design data pipelines and deliver insightful analytics while ensuring data integrity.

  • Use your technical knowledge: implement effective solutions by leveraging top-notch technologies and automating key components of client’s infrastructure.

  • Mentor and Collaborate: Possibility to give training in our Cloud and Data Academy or present advanced tech topics during Lunch & Learn session.



As an ideal candidate you have: (this should focus on requirements/experience):

  • A master's or bachelor's degree in IT, or a related technical field.

  • At least 3 years’ experience as a Data Engineer.

  • Knowledge of Data Warehousing principles and Data Modelling (Data Vault, Star-schemas, Slow Changing Dimensions, …)

  • A strong interest in data manipulation (storage, crunching, pipeline implementation).

  • A strong SQL knowledge.

  • Experience with one of thecloudproviders: Azure, Google Cloud or AWS.

  • Strong communication skills in Norwegian and English.

  • You are able to explain technical concepts to a non-technical audience and know how to have a professional and commercial approach with customers.


It is not a requirement, but other preferred qualifications would be:

  • Knowledge of at least one programming language: Java, C#, Python, Scala.

  • Knowledge of continuous developments / deployment concepts & technologies (GIT, Azure DevOps, Gitlab, CircleCI, ...)

  • Basic knowledge of scripting languages (Bash, PowerShell).

  • Knowledge of Linux environments.



What we offer you:

  • Hybrid ways of working with access to our modern & collaborative office in Oslo.

  • An open and inclusive culture, that enables us to reach our full potential.

  • A community of experts - as Digital Natives, we put innovation at the heart of our expertise.

  • Read more about the benefits we offer here.

About Orange Business:
Orange Business is a leading network and digital integrator company with 30 000 experts located in offices in 65 countries worldwide, and part of the Orange Group.

We combine our history as a telco operator with the rigor of a network and connectivity expert and the agility of a global digital solutions integrator. Our joint mission is to help innovate, drive and lead them in their digital transformation challenges and business strategies in key digital domains, including Cloud, Customer Experience, and Data & AI. As an agile and fast-moving digital business partner, the business line offers trusted end-to-end solutions and products that help businesses in a wide range of industries in the private and public sector transform their operations, enhance customer experience, and drive growth.

With our digital expertise, we are a strategic partner of Orange Business objectives to be a leading network and digital integrator with our team as a key growth engine.

The process:
We screen applications on an ongoing basis.

Interested but feel that you don´t match the criteria 100%? We encourage you to apply anyway! We believe in the potential of diverse skill sets, perspectives and individuality. We want to encourage everyone to be their authentic selves and your unique capabilities may align perfectly with our team's needs! Your perfect match might be the next job we are announcing, so why not have a head start and apply now!

Are you interested to read more about Orange Business? Visit our Website or follow ourLinkedInaccount.

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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Oslo, Norway

What we offer you: - Hybrid ways of working with access to our modern & collaborative office in Oslo. - An open and inclusive culture, that enables us to reach our full potential.
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