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.
DataOps Engineer - Secure, Automated Data Pipelines in London employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
