Role Description Configure/maintain/apply security patches to the infrastructure on which the data platform is based, ensure the deployment and the CI/CD of the data or ML delivery. Monitor the performance of the data pipeline and/or the ML models. Key Objectives * Install our tools needed to access our data and manipulate it * Implement and configure the tools applying the Companies guidelines * Apply security patches to the different infrastructural components * Analyze and apply if it’s possible the FinOps rules to the different infrastructural components for saving costs purposes * Configure and maintain the different DBs engine we have on AWS (rds, redshift, postgres standalone installation) something like a DBA * Work with the Data Architect to ensure development is aligned with the target architecture. * Develop, Deploy & Maintain the pipelines used in the Data Platform and the local accounts (CT, LO & AS). * Operationalize the ML models within the Data Platform. * Maintain and monitor the different environments for each country (CT, LO & AS)



* Configure networking rules on aws account (NACLs, Route table, security groups) * Execute Disaster Recovery Test to ensure the data availability in case of Real Disaster * Support the Developers and Architecture communities analyzing and fixing issue on the different layers on Data Foundation Train and local Teams (CT, LO & AS) Main Responsibilities * Maintain an agile mindset every day. * Interact with security, networking and platform teams to have a secure infrastructure and guarantee a stable environment to the stakeholders * Deployment of the pipeline to ensure high quality and efficiency of the release process and also in the production environment. * Work closely with the Data Architect to monitor the target architecture. * Communicate with Scrum Master to elevate impediments or improvement for the wagon. * They work closely with the MLops Devs and data scientists to operationalize the ML models within the Data

📌 MLOps Engineer (Andalucía)
🏢 Admiral Europe Tech
📍 Andalucía