Senior Data Engineer – pharmaceutical sector (f/m/x)

Sii Poland

Lublin

On-site

PLN 180,000 - 280,000

Full time

3 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

MySii app

Regular integration events

Job summary

Sii Poland invites an experienced Senior Data Engineer to design, develop, and maintain scalable data solutions for a pharmaceutical industry project. You will shape a modern data platform used across markets to enable data-driven decisions and global analytics.

You will build pipelines with Python, leverage AWS services, and collaborate with cross-functional teams in an Agile environment. English proficiency is required for international collaboration.

Qualifications

Minimum 5 years of experience in Data Engineering or related fields.
Strong Python development skills, including object-oriented programming, design patterns, and Pandas data processing.
Hands-on experience with AWS services Glue, Athena, DynamoDB, Lambda, and Step Functions.
Solid understanding of cloud-based architectures and scalable data engineering solutions.
Experience working in Agile teams and using modern software development practices.
Advanced level of English

Responsibilities

Develop and maintain a modern Data Engineering platform supporting data-driven business processes and analytics
Design and implement scalable data engineering solutions using modern Python development practices
Build reliable and maintainable data pipelines following object-oriented design principles
Collaborate with agile, cross-functional teams to deliver high-quality solutions
Support platform migrations, enhancements, and integrations across evolving business environments
Troubleshoot and resolve issues within existing data and processing pipelines

Skills

Python development

English proficiency

Agile teamwork

Tools

AWS (Glue, Athena, DynamoDB, Lambda, Step Functions)

Job description

We are looking for an experienced Senior Data Engineer to join a project within the pharmaceutical industry. In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that support advanced analytics and business decision-making. You will contribute to the development of a modern data platform used across diverse markets and business environments, helping to deliver high-quality, data-driven solutions on a global scale.

Your tasks

Develop and maintain a modern Data Engineering platform supporting data-driven business processes and analytics
Design and implement scalable data engineering solutions using modern Python development practices
Build reliable and maintainable data pipelines following object-oriented design principles
Collaborate with agile, cross-functional teams to deliver high-quality solutions
Support platform migrations, enhancements, and integrations across evolving business environments
Troubleshoot and resolve issues within existing data and processing pipelines

Requirements

Minimum 5 years of experience in Data Engineering or related fields
Strong Python development skills, including object-oriented programming, design patterns, and data processing with Pandas
Hands-on experience with AWS services such as Glue, Athena, DynamoDB, Lambda, and Step Functions
Solid understanding of cloud-based architectures and scalable data engineering solutions
Experience working in Agile teams and using modern software development and project management practices
Advanced level of English

Job no. JOB-Z2EJP

Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.

Benefits For You