Senior Data Engineer - Pharma Analytics Platform

Sii Poland

Bydgoszcz

On-site

PLN 180,000 - 260,000

Full time

16 hours ago
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Benefits offered by this job

Great Place to Work
Profit sharing
Medical care
Centre of internal trainings
Many experts you can learn from

Job summary

Sii Poland is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data platforms that empower advanced analytics and data-driven decision making across the pharmaceutical sector.

You will build robust data pipelines with Python, apply modern data engineering practices, collaborate with agile teams, and support platform migrations and integrations to deliver reliable, high-quality solutions globally.

Qualifications

  • 5+ years of experience in Data Engineering or related field.
  • Strong Python development skills with OO design and data processing using Pandas.
  • Hands-on experience with AWS services (Glue, Athena, DynamoDB, Lambda, Step Functions).
  • Solid cloud-based architectures and scalable data engineering solutions.
  • Experience working in Agile teams and modern software practices.

Responsibilities

  • Develop and maintain a modern data engineering platform enabling analytics.
  • Design and implement scalable data pipelines using Python and best practices.
  • Build reliable, maintainable pipelines following OO design principles.
  • Collaborate with cross-functional Agile teams to deliver quality solutions.
  • Support platform migrations, enhancements, and integrations across environments.
  • Troubleshoot and resolve issues within data processing pipelines.

Skills

Python development
Object-oriented programming
Pandas data processing
AWS services
Agile teamwork

Tools

Glue
Athena
DynamoDB
Lambda
Step Functions

Job description

Sii Poland is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data platforms that empower advanced analytics and data-driven decision making across the pharmaceutical sector.

You will build robust data pipelines with Python, apply modern data engineering practices, collaborate with agile teams, and support platform migrations and integrations to deliver reliable, high-quality solutions globally.

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