Data Ops Engineer
Posted 14 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
No salary listed for this role.
Field of studyBusiness Engineering, Computer Science, Engineering, Mathematics, Physics, Statistics (or related)
Study levelMaster's or higher
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:
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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.
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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.
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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!
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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.