Job Description

The team, position & mission:

We 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.

In 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.

We 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.

Your key areas of responsibility as DataOps Engineer:

• Support the implementation and maintenance of DataOps practices to enable continuous and reliable delivery of data products.

• Automate deployment, testing, and monitoring of data pipelines across development and production environments.

• Contribute to the operational stability of data workflows, including troubleshooting, incident resolution, and performance optimization.

• Implement data quality checks, validation rules, and monitoring to ensure trusted and consistent datasets.

• Collaborate closely with data engineers, analysts, and platform teams to streamline end-to-end data processes.

• Help establish observability standards (alerts, logs, lineage, SLA tracking) for data pipelines and platforms.

• Participate in the definition of best practices for version control, documentation, and lifecycle management of data assets.

• Support governance and security requirements, including access controls and compliance guidelines.

• Contribute to continuous improvement initiatives around automation, scalability, and operational excellence.

As an ideal candidate you have:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

• 2–5 years of experience in Data Engineering, DataOps, DevOps, or a related role.

• Solid understanding of data pipeline concepts, orchestration, and operational support.

• Familiarity with CI/CD tools and workflows (Git, Azure DevOps, Jenkins, etc.).

• Experience with modern data platforms and tools such as Azure Data Factory, Databricks, DBT, Snowflake, or MS Fabric is a plus.

• Proficiency in SQL and scripting languages such as Python or Shell for automation and troubleshooting.

• Knowledge of data quality, monitoring, and governance principles.

• Strong problem-solving skills and attention to detail.

• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

• Fluency in French and English (verbal & written).

What we offer you:

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

• We may work with tomorrow’s technology, but at our core we are a people-oriented organization.

• 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

The process:
We screen applications on an ongoing basis, with the aim of conducting conversations and interviews as we receive them.

Interested 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!

Apply now:
We can’t wait to meet you!

More about Orange Business:
Check out our career sitefor even more information or connect with us on LinkedIn