Skip to content
mimi

DataOps Engineer Consultant

Orange Business

Meyrin · Hybrid Mid Level Today

About the role

Publication Date

Feb 04, 2026, 9:35 AM

About the Role

Position: DataOps Engineer Consultant
Company: Orange Business, Geneva

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.

Responsibilities

  • Implement and maintain DataOps practices to enable continuous and reliable delivery of data products.
  • Automate deployment, testing, and monitoring of data pipelines across development and production environments.
  • Ensure 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.
  • Establish observability standards (alerts, logs, lineage, SLA tracking) for data pipelines and platforms.
  • Define and enforce best practices for version control, documentation, and lifecycle management of data assets.
  • Support governance and security requirements, including access controls and compliance guidelines.
  • Drive continuous improvement initiatives around automation, scalability, and operational excellence.

Requirements

  • 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.
  • Experience with deployment and orchestration technologies such as Terraform or Airflow.
  • 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

  • Hybrid ways of working with access to our modern & collaborative office in Geneva.
  • Work with tomorrow’s technology while being part of 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.

Process

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

Application

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 site for even more information or connect with us on LinkedIn.

Diversity & Inclusion

Chez Orange, seules vos compétences comptent.

Quel que soit votre âge, genre, origine, parcours, religion, orientation sexuelle, handicap, neuroatypie, ou apparence, nous encourageons activement la diversité au sein de nos équipes, car elle constitue une force pour le collectif et un vecteur d’innovation.

Orange est une entreprise handi‑accueillante : n’hésitez pas à nous faire part de vos besoins spécifiques.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • Solid understanding of data pipeline concepts, orchestration, and operational support.
  • Familiarity with CI/CD tools and workflows (Git, Azure DevOps, Jenkins, etc.).
  • Experience with deployment and orchestration technologies such as Terraform or Airflow
  • 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).

Responsibilities

  • Implement and maintain DataOps practices to enable continuous and reliable delivery of data products.
  • Automate deployment, testing, and monitoring of data pipelines across development and production environments.
  • Ensure 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.
  • Establish observability standards (alerts, logs, lineage, SLA tracking) for data pipelines and platforms.
  • Define and enforce best practices for version control, documentation, and lifecycle management of data assets.
  • Support governance and security requirements, including access controls and compliance guidelines.
  • Drive continuous improvement initiatives around automation, scalability, and operational excellence.

Skills

AirflowAzure Data FactoryAzure DevOpsDatabricksDBTGitJenkinsMS FabricPythonShellSnowflakeSQLTerraform

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free