DataOps & MLOps Lead — AI Infra & Data Products

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

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.