Own data pipeline work end-to-end — from building and maintaining production pipelines to integrating new data sources and contributing to backend services that power the platform.
Develop new pipeline components as we revamp and upgrade our data flows.
Maintain and improve existing data pipelines — including sunset work on legacy services.
Collaborate with data scientists on handoffs from experimentation to production.
Keep the infrastructure running: monitoring, alerting, reliability.
Contribute to backend services where data and platform logic intersects with the product.

Requirements

4+ years in data engineering or backend engineering
Strong Python — production-grade, not just scripts or notebooks
SQL — comfortable with complex queries, schema design, performance considerations
Docker — you've shipped containerized services, not just run them locally
Nice to have: pandas / data wrangling experience
AWS (any depth — Lambda, S3, ECS)
Terraform or CDK
Experience with orchestration tools (Argo, Airflow, Prefect, or similar)
Prior work in regulated or data-sensitive environments (life sciences, healthcare, finance)

Benefits

Work that matters – build solutions that support faster and more effective healthcare outcomes.
Hands-on AI work – practical experience with LLMs and modern AI applications used in real business scenarios.
Flexible B2B compensation – Net invoicing, VAT settled on the Swiss side.
Remote-first setup – work from anywhere in Poland.
Love good coffee and teamwork? You’re always welcome at our Wrocław office.
Long-term projects with global pharma partners – stability, clear goals and meaningful work.
Growth opportunities – develop your skills, explore new tools and deepen your expertise in healthcare and data.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLDockerpandasTerraformCDKdata engineeringbackend engineeringdata pipeline developmentorchestration tools

Soft Skills

collaborationmonitoringreliability