PeakData logo
PeakData

Making sense of HCP data spread across the web

Senior Data Engineer

Data EngineerData EngineerContractRemoteSeniorTeam 51-200Since 2017H1B No SponsorCompany SiteLinkedIn

Location

Poland

Posted

79 days ago

Salary

€30 - €40 / hour

Seniority

Senior

Job Description

Senior Data Engineer

PeakData

• 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.

Job 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.

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