Summary
✨ AI‑Generated
Build and maintain scalable data pipelines and ML workflows in a hybrid environment. You will automate testing and deployment, enable secure production ML operations across cloud and containerized environments, and improve reliability through monitoring, alerting, and continuous improvement. Cross-functional collaboration is central to the role.
Highlights
Hybrid data engineering role focused on scalable pipelines, ML workflows, automation, cloud infrastructure, and production reliability. The position offers broad cross-team collaboration and opportunities to improve AI and business outcomes.
Description
Location: Albarraque, Portugal; Krakow, Poland
Working Pattern: Hybrid
At PMI, we've chosen to do something incredible.
We've transformed our business and are building our future on one clear purpose: to deliver a smoke-free future.
With huge change comes huge opportunity.
So, wherever you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.
Impact You Will Own
Deliver scalable data pipelines and ML workflows that accelerate model delivery and operational excellence Improve platform stability through CI/CD, automation and testing Enable secure, production-ready ML operations across cloud and containerized environments.
Strengthen reliability through monitoring, alerting, and continuous improvement Partner across teams to accelerate AI and business outcomes
What you'll do
Build and maintain data pipelines and CI/CD workflows for ML solutions Automate testing, deployment, versioning, and release processes Manage cloud infrastructure using Terraform and AWS Develop and operate SageMaker training and deployment workflows Build and support applications using Docker and Kubernetes Develop Python solutions for data and ML services Monitor and improve platform reliability, security and performance
Skills & Capabilities
Must-Have
3-5 years' experience in Data Engineering, MLOps, ML Infrastructure, or similar roles Experience with CI/CD pipelines, release management, and deployment automation Hands-on experience with Terraform and Infrastructure as Code Knowledge of AWS services including IAM, VPC, S3, compute services, and CloudWatch Experience with Amazon SageMaker Strong Docker and Kubernetes (or Amazon EKS) knowledge Proficiency in Python for data and ML applications Knowledge of monitoring, observability, incident management and reliability practices Understanding of data engineering, data quality, orchestration and data modeling Understanding of security best practices, including encryption, secrets management and least-privilege access
Nice-to-Have
Experience supporting ML systems across multiple environments Familiarity with batch and real-time inference Knowledge of DevSecOps and governance frameworks
Rewards & Benefits
Permanent local contract with a competitive salary plus employee benefit including:
Life and Health insurance Employee Pension Plan Hybrid working model Growing opportunities within the Company, both at national and international level Very diverse and international work environment
For Poland: In this position, you will earn no less than 14144 PLN gross per month
Equal Opportunities
We believe that diverse perspectives and experiences make us stronger.
As an equal opportunity employer, we are committed to creating a workplace where every individual feels welcomed, respected, valued, and empowered to reach their full potential.
We encourage applications from people of all backgrounds and identities and provide reasonable accommodation to ensure an accessible recruitment process.
If you need support or adjustments during your application, let us know - we're here to help you succeed.
Key Things To Know Before You Apply
Relocation Support/visa sponsorship is not provided.
Please note that you must have the legal right to Work in Portugal/Poland to be considered for this role.
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