Data Engineer

Philip Morris International; Kraków; Hybrid; PLN 144,000 - 172,000; Full time

Benefits offered by this job

Life and Health insurance

Employee Pension Plan

Hybrid working model

International exposure

Job summary

Philip Morris International in Kraków, Poland, seeks a data engineering professional to build scalable data pipelines, ML workflows, and CI/CD automation, with a hybrid work pattern.

You will operate in cloud environments using Terraform, AWS, Docker, Kubernetes, and SageMaker, focusing on security, reliability, and performance.

This role offers international exposure and growth, with a permanent local contract and a diverse, global team.

Qualifications

• 3-5 years’ experience in Data Engineering, MLOps, or ML infrastructure.
• Hands-on with CI/CD pipelines, release management, and deployment automation.
• Experience with Terraform and Infrastructure as Code.
• Knowledge of AWS services (IAM, VPC, S3, CloudWatch).
• Experience with Amazon SageMaker and container tech (Docker/Kubernetes).
• Proficiency in Python for data and ML tasks.
• Strong focus on reliability, monitoring and security best practices.

Responsibilities

• Build scalable data pipelines and ML workflows to accelerate model delivery.
• Improve platform stability via CI/CD, automation and testing.
• Manage cloud infrastructure with Terraform and AWS.
• Develop and operate SageMaker training and deployment workflows.
• Build applications using Docker and Kubernetes; monitor performance.
• Monitor reliability, security and incident management; drive improvements.

Skills

Data Eng

MLOps

ML Infra

CI/CD

Terraform IaC

AWS

SageMaker

Docker

Kubernetes

Python

Monitoring

Security

Data Modeling

Tools

Terraform

AWS

SageMaker

Job 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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