Ph3The team, position mission: /h3 pWe are looking for a hands-on DataOps Engineer to join our dynamic team. The ideal candidate will have a strong foundation in data operations, automation, and collaboration, with a proven ability to improve the reliability, scalability, and efficiency of data pipelines and analytics environments. /p pIn this role, you will help industrialize data delivery by applying DevOps principles to data workflows, ensuring smooth deployment, monitoring, and governance across the data lifecycle. /p pWe value people who are proactive on every level, deliver exceptional results, work well with others, and make a clear impact on our clients and our business. If you love collaborating, learning, sharing your expertise, and being recognized for your achievements, you’ll fit right in with our team. /p h3Your key areas of responsibility as DataOps Engineer: /h3 ul liImplement and maintain DataOps practices to enable continuous and reliable delivery of data products. /li liAutomate deployment, testing, and monitoring of data pipelines across development and production environments. /li liEnsure operational stability of data workflows, including troubleshooting, incident resolution, and performance optimization. /li liImplement data quality checks, validation rules, and monitoring to ensure trusted and consistent datasets. /li liCollaborate closely with data engineers, analysts, and platform teams to streamline end-to-end data processes. /li liEstablish observability standards (alerts, logs, lineage, SLA tracking) for data pipelines and platforms. /li liDefine and enforce best practices for version control, documentation, and lifecycle management of data assets. /li liSupport governance and security requirements, including access controls and compliance guidelines. /li liDrive continuous improvement initiatives around automation, scalability, and operational excellence. /li /ul h3As an ideal candidate you have: /h3 ul liBachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. /li li2–5 years of experience in Data Engineering, DataOps, DevOps, or a related role. /li liSolid understanding of data pipeline concepts, orchestration, and operational support. /li liFamiliarity with CI/CD tools and workflows (Git, Azure DevOps, Jenkins, etc.). /li liExperience with modern data platforms and tools such as Azure Data Factory, Databricks, DBT, Snowflake, or MS Fabric is a plus. /li liExperience with deployment and orchestration technologies such as Terraform or Airflow. /li liProficiency in SQL and scripting languages such as Python or Shell for automation and troubleshooting. /li liKnowledge of data quality, monitoring, and governance principles. /li liStrong problem-solving skills and attention to detail. /li liStrong communication and collaboration skills, with the ability to work effectively in a team environment. /li liFluency in French and English (verbal written). /li /ul h3What we offer you: /h3 ul liHybrid ways of working with access to our modern collaborative office in Geneva. /li liWe may work with tomorrow’s technology, but at our core we are a people-oriented organization. /li liAn open and inclusive culture, that enables us to reach our full potential. /li liA community of experts - as Digital Natives, we put innovation at the heart of our expertise. /li liRead more about the benefits we offer. /li /ul h3The process: /h3 pWe screen applications on an ongoing basis, with the aim of conducting conversations and interviews as we receive them. /p pInterested but feel that you don't match the criteria 100%? We encourage you to apply anyway! Your perfect match might be the next job we are announcing, so why not have a head start and apply now! /p h3Apply now: /h3 pWe can’t wait to meet you! /p h3More about Orange Business: /h3 pCheck out our career site for even more information or connect with us on LinkedIn. /p /p #J-18808-Ljbffr