- Company Name
- ORANGE BUSINESS
- Job Title
- Ingénieur DevOps F/H
- Job Description
-
**Job title**
DevOps Engineer – Cloud Data Engineering (F/H)
**Role Summary**
Responsible for designing and operating end‑to‑end data pipelines and cloud infrastructure for AI and modern data‑stack projects. Implements continuous integration and deployment (CI/CD) workflows, automates infrastructure, and optimises resource utilisation across Google Cloud Platform and Microsoft Azure environments.
**Expactations**
- Minimum 5 years of experience in data engineering combined with DevOps practice.
- Proven hands‑on expertise with Terraform, Ansible, Git, and Kubernetes.
- Strong Python programming skills for building data pipelines.
- Practical experience deploying and managing services such as GCP DataProc, BigQuery, Cloud Functions, Azure Data Factory, Synapse/Databricks, and Fabric.
- Ability to work autonomously, exhibit proactive problem‑solving, and maintain high‑level stakeholder communication.
- English language proficiency (written and spoken) is a plus.
**Key Responsibilities**
- Construct and maintain CI/CD pipelines using Git, Terraform, Ansible, and Kubernetes.
- Design, develop, and optimise scalable data pipelines on GCP and Azure platforms.
- Monitor, troubleshoot, and resolve performance, architecture, and security issues in data workflows.
- Implement FinOps practices to optimise cloud spend while ensuring scalability and reliability.
- Collaborate with data scientists, data engineers, IT and business stakeholders to translate functional requirements into technical solutions.
- Stay current with emerging cloud and data‑engineering technologies, recommending best practices for architecture and tooling.
- Document infrastructure as code, deployment procedures, and operational runbooks.
**Required Skills**
- Infrastructure‑as‑Code: Terraform, CloudFormation (optional), Ansible.
- Container orchestration: Kubernetes, Helm.
- Version control: Git (GitHub, GitLab).
- Scripting: Python (preferred), Bash.
- Cloud platforms: Deep knowledge of GCP (DataProc, BigQuery, Cloud Functions) and Azure (Data Factory, Synapse/Databricks, Fabric).
- CI/CD and pipeline automation: Jenkins, GitHub Actions, Azure DevOps, GitLab CI.
- Cloud monitoring and logging: Stackdriver, Azure Monitor, Prometheus.
- Security fundamentals: IAM, network ACLs, secrets management.
- Strong analytical, troubleshooting, and communication skills.
- Fluency in English (reading/writing).
**Required Education & Certifications**
- Engineering degree or Bac+5 level in Computer Science, Information Technology, or related field.
- Certifications highly regarded:
- Google Cloud Professional Cloud Architect / Data Engineer
- Microsoft Certified: Azure Solutions Architect Expert / Azure Data Engineer Associate
- Certified Kubernetes Administrator (CKA) or Equivalents
- Terraform Certified Associate (optional)
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