# Data Ops Engineer at Orange

Orange is hiring a Data Ops Engineer in Oslo, Norway. Level rates it Little AI ●○○○; you can [apply on Orange](https://jobsbylevel.com/go/7f038966-b34c-4f06-b2ac-b0600d4b4365?utm_medium=ai-agent).

AI Level 1, AI centrality 24 out of 100. OSLO,NORWAY.

## Details

- Company: [Orange](https://jobsbylevel.com/companies/orange)
- AI level: AI Level 1 (score 24 out of 100)
- Location: OSLO,NORWAY
- Posted: October 20, 2026
- Apply: https://jobsbylevel.com/go/7f038966-b34c-4f06-b2ac-b0600d4b4365?utm_medium=ai-agent

## Description

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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-ops-engineer-at-orange-002b7b

Source: https://jobsbylevel.com/jobs/data-ops-engineer-at-orange-002b7b

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Level. https://jobsbylevel.com/jobs/data-ops-engineer-at-orange-002b7b.

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