Matillion DPC/ETL Engineer - Data Platform Specialist

Philip Morris International; Kraków; On-site; PLN 179,000 - 214,000; Full time

Job summary

Philip Morris International (PMI) is seeking a skilled Matillion DPC Administrator to join our Federated Data Platform team in Kraków. You will oversee Matillion ETL and DPC, enabling reliable and scalable data ingestion across multiple domains and regions.

You will collaborate with Data Engineers, Solution Architects, and Product Owners on pipeline design and governance while supporting DevOps and agile practices in a self-service data environment.

Qualifications

• Bachelor’s degree or higher in CS/Engineering/Data Eng or related field
• Minimum 3 years of data engineering experience
• Hands-on Matillion ETL/DPC in production environments
• Experience with Matillion DPC pipelines and API-based ingestion

Responsibilities

• Own Matillion ETL/DPC administration and lifecycle management
• Design and maintain ingestion/transformation patterns for batch and near real-time data
• Manage Matillion environments across dev/test/stage/prod
• Ensure high availability, performance and cost awareness of workloads
• Collaborate with Data Engineers and Architects on pipeline design and data modeling
• Support CI/CD pipelines, version control, promotion and rollback strategies
• Embed security and governance in ingestion/transformation processes
• Participate in agile and DevOps practices to deliver services

Skills

SQL

Python

CI/CD

Agile

Education

Bachelor’s Degree in CS/Engineering/Data Eng

Tools

Matillion ETL

Matillion DPC

Snowflake

Git

Job description

Philip Morris International (PMI) is seeking a skilled Matillion DPC Administrator to join our Federated Data Platform team in Kraków. You will oversee Matillion ETL and DPC, enabling reliable and scalable data ingestion across multiple domains and regions.

You will collaborate with Data Engineers, Solution Architects, and Product Owners on pipeline design and governance while supporting DevOps and agile practices in a self-service data environment.