DataOps Engineer - Secure, Automated Data Pipelines

Capgemini seeks a DataOps Engineer to develop secure, automated data platforms for public sector clients. You will architect and deliver DataOps capabilities, focusing on repeatability, governance, and scalable data applications in air-gapped environments.

You will implement and manage monitoring and observability to ensure data quality across the data flow, using tools like Airflow, Docker, Terraform and Kubernetes, with a strong emphasis on CI/CD and IaC practices.