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Tools in this posting

python
aws
docker
kubernetes
s3
sagemaker

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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

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

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Pay: No pay amount identified in the saved description.
Location & working pattern: Krakow, Poland
Data Engineer 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.
More source context
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.
Work authorization: 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.

Open source at join.pmicareers.com ↗Read the full description ↓

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Status in our records: Active
First seen by us: Sep 9, 2026
Recorded sightings: 1

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Skills in this posting

pythonawsdockerkubernetess3sagemakerterraform

Job description

Data Engineer
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.