MLOps & DataOps Manager

Admiral Europe Tech; Sevilla; On-site; EUR 90,000 - 130,000; Full time

Job summary

Admiral Europe Tech is seeking a visionary DataOps & MLOps Manager to lead our data and AI infrastructure teams in Sevilla. You will bridge data engineering, operations, and AI, shaping ingestion design and the lifecycle of Data Products from datamarts to GenAI and autonomous agents.

You will drive cloud architecture, automation with IaC, and robust CI/CD, ensuring secure, scalable deployments. Mentoring a diverse team, you’ll foster speed, reliability, and innovation while aligning data

Responsibilities

• Strategic Leadership: Define the vision, roadmap, and execution strategy for DataOps and AIOps teams.
• Data Product Lifecycle: Oversee end-to-end creation, deployment, and maintenance of Data Products including Datamarts and GenAI solutions.
• Ingestion Strategy: Design scalable, secure ingestion for streaming and batch processing.
• Infrastructure as Code (IaC): Automate cloud infrastructure with version control.
• CI/CD & Operational Excellence: Establish rigorous CI/CD practices for automated deployments.

Skills

DataOps

MLOps

Leadership

Cloud architecture

CI/CD

Tools

Terraform

Kubernetes

Docker

Databricks

Tableau

Job description

Position Overview

We are looking for a visionary and highly technical DataOps & MLOps Manager to lead our growing data and AI infrastructure teams. In this role, you will bridge the gap between cutting-edge data engineering, robust operations, and advanced artificial intelligence.

You will lead the strategic design of our next-generation ingestion mechanisms and oversee the lifecycle of high-value Data Products —ranging from core analytical datamarts to traditional Machine Learning, Generative AI, and Autonomous Agents. If you are passionate about automation, cloud architecture, and scaling AI capabilities within a modern data ecosystem, we want to hear from you.

Key Responsibilities

• Strategic Leadership: Define the vision, roadmap, and execution strategy for both the DataOps and AIOps teams, ensuring alignment with overall business objectives.
• Data Product Lifecycle: Oversee the end-to-end creation, deployment, and maintenance of diverse Data Products, including Datamarts, Tableau dashboards, traditional ML models, GenAI solutions, and AI agents.
• Ingestion Strategy: Design and optimize scalable, reliable, and secure data ingestion mechanisms for both streaming and batch processing.
• Infrastructure as Code (IaC): Champion automation by ensuring all cloud infrastructure is fully automated, repeatable, and version-controlled.
• CI/CD & Operational Excellence: Establish and enforce rigorous CI/CD practices to ensure seamless, automated deployments, minimizing downtime and maximizing team velocity.
• Team Mentorship: Lead, mentor, and grow a high-performing team of engineers, fostering a culture of continuous learning, agility, and innovation.