AI Engineer - Kraków (Poland) / Barcelona (Spain)

Global Enterprise Partners; Barcelona; On-site; EUR 85,000 - 125,000; Full time

Job summary

Global Enterprise Partners is seeking a Cloud AI Platform Engineer to join a strategic transformation programme in the energy sector. You will build, support, and optimise AI-enabled cloud platforms and data processing environments, working with platform teams, data scientists and solution architects to deliver scalable, secure infrastructure for advanced analytics and AI workloads.

The role emphasizes AWS, Kubernetes, Airflow, Python, Grafana, and ML deployment in an international,

Qualifications

• Experience in AI Engineering, Platform Engineering, MLOps, Data Engineering, or ML infrastructure.
• Strong hands-on AWS experience
• Kubernetes administration and deployment
• Advanced Python development
• Experience with Apache Airflow workflow orchestration
• Strong knowledge of Grafana monitoring and observability solutions
• Familiarity with cloud-native architectures and DevOps methodologies
• Experience working within Agile project environments

Responsibilities

• Develop and maintain cloud-native AI and data platform solutions within AWS
• Design and manage containerised workloads using Kubernetes
• Build, enhance, and support automated workflows using Apache Airflow
• Develop Python-based applications, automation scripts, and platform services
• Implement platform monitoring, alerting, and visualisation solutions using Grafana
• Support the deployment and operationalisation of machine learning models
• Work alongside engineering and business teams to deliver reliable platform capabilities
• Contribute to platform optimisation, scalability, and performance improvements
• Assist with troubleshooting, incident resolution, and root cause analysis
• Promote cloud engineering and operational best practices

Skills

AWS

Kubernetes

Python

Airflow

Grafana

MLOps

DevOps

Agile

Tools

Terraform

Docker

Job description

Location: Kraków, Poland or Barcelona, Spain
Contract Duration: Initial 12-Month Contract
Rate: Competitive market rate

We are seeking a Cloud AI Platform Engineer to join a strategic transformation programme within the energy sector. The successful candidate will play a key role in building, supporting, and optimising AI-enabled cloud platforms and data processing environments.

Working closely with platform teams, data scientists, and solution architects, you will contribute to the delivery of scalable, secure, and highly available infrastructure supporting advanced analytics and AI workloads.

Key Responsibilities

• Develop and maintain cloud-native AI and data platform solutions within AWS
• Design and manage containerised workloads using Kubernetes
• Build, enhance, and support automated workflows using Apache Airflow
• Develop Python-based applications, automation scripts, and platform services
• Implement platform monitoring, alerting, and visualisation solutions using Grafana
• Support the deployment and operationalisation of machine learning models
• Work alongside engineering and business teams to deliver reliable platform capabilities
• Contribute to platform optimisation, scalability, and performance improvements
• Assist with troubleshooting, incident resolution, and root cause analysis
• Promote cloud engineering and operational best practices

Required Experience

• Proven experience in AI Engineering, Platform Engineering, MLOps, Data Engineering, or Machine Learning Infrastructure
• Strong hands-on AWS experience
• Extensive Kubernetes administration and deployment experience
• Advanced Python development skills
• Experience with Apache Airflow workflow orchestration
• Strong knowledge of Grafana monitoring and observability solutions
• Familiarity with cloud-native architectures and DevOps methodologies
• Experience working within Agile project environments

Preferred Experience

• Previous experience within the energy, utilities, renewables, power generation, or oil & gas industries
• Exposure to AI/ML lifecycle management and MLOps practices
• Knowledge of Infrastructure-as-Code tools such as Terraform
• Experience supporting enterprise-scale cloud platforms

Candidate Profile

• Strong analytical and problem-solving capabilities
• Comfortable working in international teams and complex environments
• Excellent communication and stakeholder engagement skills
• Self-motivated and proactive approach to delivery
• Fluent English, both written and spoken