DataOps & DevOps Engineer - Confirmé·e
Core
Designing and implementing cloud data architectures, CI/CD pipelines, and orchestration for data workloads across client projects and internal platforms.
Role type
Senior DataOps & DevOps Engineer
Builds
Robust data pipelines, analytical platforms, and production-grade cloud environments for clients in luxury, retail, health, and media sectors.
Domain
Data Engineering & Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Cloud architecture (GCP, AWS, Azure), CI/CD pipeline design, Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, Ansible), Data orchestration (Airflow, Azure Data Factory), Python, SQL, Linux command line, Cloud security (IAM, networking, secrets), Observability (Prometheus, Grafana, ELK, Datadog), Data warehouse management (BigQuery, Snowflake, Databricks).
Preferred skills
Experience industrializing data projects in production, navigating complex technical environments, translating technical choices to non-technical stakeholders.
Technologies
GCP, AWS, Azure, Docker, Kubernetes, Terraform, Ansible, GitHub Actions, GitLab CI, Prometheus, Grafana, ELK, Datadog, Airflow, Azure Data Factory, GCP Composer, Databricks, BigQuery, Snowflake, Databricks.
Responsibilities
Design and implement cloud data architectures; Build and maintain complete CI/CD chains from commit to production; Containerize and orchestrate data applications and processing; Manage end-to-end cloud environments including networking, VPN, IAM, and observability; Collaborate with client teams to understand constraints and drive technical decisions; Document architectures and share best practices.
Seniority
Senior, hands-on IC
