Back to jobs

Data Ops Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Develop, test and continuously deploy data solutions in cloud environments

  • Orchestrate end-to-end data life cycles and keep data pipelines running efficiently

  • Design data pipelines with clients and deliver analytics while ensuring data integrity

  • Automate key components of client infrastructure

From the employer’s posting
developing, testing, and continuously deploying data solutions in cloud environments
orchestrating end-to-end data life cycles and ensuring efficient data pipeline operations
Work with clients and partners to design data pipelines and deliver insightful analytics while ensuring data integrity
automating key components of client’s infrastructure
Education & alternatives
As an ideal candidate you have: - A master's degree or PhD in Mathematics, Statistics, Computer Scuence, Engineering, Business Engineering, Physics or any related field. - At least 3 years of relevant experience as a Data/DevOps/Software Engineer.

About Orange Business

Orange Business is a leading network and digital integrator company with offices in 65 countries worldwide, and part of the Orange Group.

In the employer’s words · Read in context

Apply at Orange Business

Posting record

Report an error

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 3 and day 44.

From 294 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.

  • Python
  • SQL
  • Azure
  • Databricks
  • Docker
  • Hadoop
  • Kubernetes
  • Snowflake
  • Terraform
  • Airflow
Where the posting names them
- A strong interest in data management (databases systems and ETL processes). - Programming: A strong SQL and Python knowledge. - Deployment and Orchestration: Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.).
- 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.
- Programming Concepts: Understanding of object-oriented programming concepts, data structures, and algorithms. - Cloud and Data tools: Experience with a cloud provider or data processing tools (Databricks, Snowflake, Synapse, etc.) What we offer you:
- Programming: A strong SQL and Python knowledge. - Deployment and Orchestration: Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.). - Data-Oriented Mindset: you possess a good knowledge of data modeling and data-architecture core concepts.
- 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.

Applying through Phenom

  • Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.

Already applied? Track this application

Demand for Data Operations roles

New Data Operations postings at the employers we follow are up 227% over the last 5 weeks compared with the 5 before.

Weekly new Data Operations postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 28, the most 273, and the latest week had 98.
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 Operations, by the work the posting describes.

Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.

Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.

Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.

Job description

View original posting ↗

Publication date : Oct 07, 2025, 12:13PM

Grow your career as a Data Ops Engineer at Orange Business

The team, position & mission:

Ever wondered what it feels like to be at the cutting edge of digital innovation? Our Digital Services 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 Data Ops Engineer:

As Data Ops engineer, your role will involve developing, testing, and continuously deploying data solutions in cloud environments. Your expertise will help optimize data workflows, orchestrating end-to-end data life cycles and ensuring efficient data pipeline operations for our clients across various sectors.

  • 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:

  • A master's degree or PhD in Mathematics, Statistics, Computer Scuence, Engineering, Business Engineering, Physics or any related field.

  • At least 3 years of relevant experience as a Data/DevOps/Software Engineer.

  • A strong interest in data management (databases systems and ETL processes).

  • Programming: A strong SQL and Python knowledge.

  • Deployment and Orchestration: Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.).

  • Data-Oriented Mindset: you possess a good knowledge of data modeling and data-architecture core concepts.

  • Strong communication and presentation skills in Norwegian andEnglish.

  • Proactive mindset and outside the box-thinking to tackle challenges.

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



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

  • DevOps methodologies: Familiar with DevOps practices, automation tools, and continuous integration/continuous delivery (CI/CD) pipelines.

  • Programming Concepts: Understanding of object-oriented programming concepts, data structures, and algorithms.

  • Cloud and Data tools: Experience with a cloud provider or data processing tools (Databricks, Snowflake, Synapse, etc.)



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 offices in 65 countries worldwide, and part of the Orange Group.

Digital Services, a business line of Orange Business is a newly created division within Orange Business. In Europe the business line consists of approximately 1500 people distributed across 10 countries. We are digital natives, with innovation at the core of our business, which makes us a reliable partner close to our customers. 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, Digital Workspace 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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

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.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.