MLOps & DataOps Manager

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

Job summary

Admiral Europe Tech is seeking a visionary DataOps & MLOps Manager to lead data and AI infrastructure teams in Sevilla. You will design ingestion mechanisms, manage data products, and scale AI capabilities across the stack, from datamarts to GenAI and autonomous agents.

The role requires strong leadership, cloud automation, and deep AWS expertise, plus experience in data governance, BI tools, and modern ML lifecycles. Join us to drive cutting-edge data initiatives in a dynamic environment.

Qualifications

• 6+ years of experience in Data/Platform Engineering, DevOps, or MLOps with at least 2+ years in a leadership role.
• Strong understanding of ML lifecycle from feature stores to model monitoring and GenAI challenges.
• Proven Agile/Scrum leadership with ability to translate complex architectures into business value.

Responsibilities

• Define the vision, roadmap, and execution strategy for DataOps and AIOps teams.
• Oversee end-to-end Data Products including Datamarts, dashboards, ML models, GenAI, and AI agents.
• Design scalable, secure data ingestion for streaming and batch processing.
• Ensure fully automated, repeatable cloud infrastructure (IaC).
• Establish CI/CD practices to minimize downtime and maximize velocity.
• Mentor and grow a high-performing engineering team.

Skills

DataOps leadership

MLOps

Cloud architecture

Agile/Scrum

Data governance

Data modeling

Stakeholder communication

Tools

AWS

Terraform

AWS CDK

GitLab CI/CD

Tableau

Kinesis

SageMaker

Bedrock

AWS DataZone

Glue

Athena

EMR Serverless

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.

Requirements

Required Technical Skills & Qualifications

Cloud & Infrastructure

• AWS Expertise: Deep production experience with AWS data and AI ecosystems, specifically:
• Data Governance & Orchestration: AWS DataZone, AWS Glue, Athena, EMR Serverless.
• Streaming & Messaging: AWS Kinesis.
• AI/ML & GenAI: AWS SageMaker, AWS Bedrock (including experience with foundation models and AI Agents).

DevOps, DataOps & AIOps

• Infrastructure as Code (IaC): Advanced proficiency with Terraform and AWS CDK (Cloud Development Kit).
• CI/CD: Deep expertise in designing and managing complex pipelines using GitLab CI/CD.
• Operations: Strong understanding of monitoring, logging, and alerting frameworks tailored for data pipelines and ML models in production.

Data & Analytics

• Proven experience building scalable Datamarts and integrating modern BI tools like Tableau.
• Solid understanding of data modeling architectures (Data Mesh, Lakehouse, Star Schema).

Leadership & Experience Requirements

• Experience: 6+ years of experience in Data/Platform Engineering, DevOps, or MLOps, with at least 2+ years in a leadership or managerial role.
• AI/ML Familiarity: Strong conceptual and practical understanding of the entire ML lifecycle (from feature stores to model monitoring) as well as the unique operational challenges of Large Language Models (LLMs) and GenAI.
• Agile Mindset: Proven track record of managing teams using Agile/Scrum methodologies.
• Communication: Exceptional communication skills with the ability to translate complex technical architectures into strategic business value for stakeholders.

Why Join Us?

• Cutting-Edge Tech Stack: Work directly with the latest cloud, GenAI, and agentic technologies.
• High Impact: Shape the data and AI foundation that drives our company's core business decisions.
• Growth Culture: Lead a talented, collaborative team in an environment that prioritizes innovation and professional development.