Senior Data Engineer - medical industry (f/m/x)

• Minimum 5 years of experience in data engineering, preferably in cloud environments
• Strong expertise in AWS services, Amazon Redshift, cloud-based data platforms, and related services
• Strong proficiency in Python and SQL, as well as experience with data processing tools
• Solid understanding of ETL/ELT processes and working with various data formats
• Familiarity with CI/CD practices, DevOps approach, and infrastructure-as-code tools
• Very good communication skills in English and Polish, both written and spoken

We are seeking an experienced Senior Data Engineer to join a high-impact project for a client in the medical sector.

The team is building a modern, cloud-based data platform. In this role, you will be responsible for developing and maintaining scalable data solutions that transform raw data into structured, high-quality datasets supporting analytical and business needs. You will work in a distributed environment, collaborating with both technical and non-technical stakeholders to deliver reliable and efficient data products.

This is a hybrid position requiring at least two days per week in the office.

,[Design and implement scalable data pipelines that ingest and process data from multiple source systems, Build and maintain data layers that enable further analytics and reporting, Develop and optimize cloud-based data services and distributed processing workflows, Collaborate with stakeholders to translate business requirements into technical solutions, Contribute to platform architecture and ensure alignment with the overall data strategy, Participate in code reviews, documentation, and knowledge sharing within the team] Requirements: AWS, Amazon Redshift, SQL, Python, ETL, CI/CD Additionally: Sport subscription, Training budget, Private healthcare, International projects, Small teams, Free coffee, Free breakfast, No dress code, In-house trainings, Modern office.