Senior Data Engineer — Scale Global Data Platform Pipelines

Sii Poland

Województwo pomorskie

On-site

PLN 180,000 - 290,000

Full time

2 days ago
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Job summary

Sii is seeking an experienced Senior Data Engineer to join a pharmaceutical project. You will design, develop, and maintain scalable data platforms that support advanced analytics and business decision-making across markets worldwide.

This role contributes to a modern data platform used across diverse teams and environments, delivering high‑quality, data‑driven solutions on a global scale. You will build and maintain data pipelines using Python, apply object‑oriented design and design patterns,

Qualifications

  • Minimum 5 years of experience in Data Engineering or related fields.
  • Strong Python development skills and Pandas data processing.
  • Hands-on AWS experience: Glue, Athena, DynamoDB, Lambda, Step Functions.
  • Experience in Agile teams and modern software development practices.
  • Advanced English language proficiency.

Responsibilities

  • Develop and maintain a modern Data Engineering platform supporting analytics.
  • Design and implement scalable data engineering solutions using Python.
  • Build reliable data pipelines following object-oriented design principles.
  • Collaborate with agile cross-functional teams to deliver solutions.
  • Support platform migrations, enhancements, and integrations.
  • Troubleshoot and resolve issues within data processing pipelines.

Skills

Python
Pandas
OO programming
Design patterns
English (advanced)

Tools

AWS Glue
AWS Athena
AWS DynamoDB
AWS Lambda
AWS Step Functions

Job description

Sii is seeking an experienced Senior Data Engineer to join a pharmaceutical project. You will design, develop, and maintain scalable data platforms that support advanced analytics and business decision-making across markets worldwide.

This role contributes to a modern data platform used across diverse teams and environments, delivering high‑quality, data‑driven solutions on a global scale. You will build and maintain data pipelines using Python, apply object‑oriented design and design patterns,

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