Technical skills

PythonSQLNoSQLData engineeringData analysisData scienceAWSDockerTerraformCloud platforms

About PeakData

PeakData provides AI-powered market intelligence that helps pharmaceutical companies

optimize drug launch execution and resource allocation. Our platform delivers actionable

insights on healthcare professionals (HCPs) and healthcare organizations (HCOs), giving

commercial leaders data-driven tools for decision-making.

The Team

The engineering team in Poland is structured around three areas: Data Science (2 people),

Backend/Data Engineering (4 people), and Frontend (2 people). You'd be joining the

backend/data engineering team.

You'll work closely with the DS on handoffs from experimentation to production, with the

Product Manager on scope and priorities, and with the broader backend team on platform

services where pipeline logic intersects with the product.

Role Overview

We're looking for a Senior Data Engineer to 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.

You'll be working on: developing new pipeline components as we revamp and upgrade our

data flows, cleaning up and sunsetting legacy services, maintaining and improving

infrastructure, and eventually integrating open data sources. When DS work produces a

new model or data package, you're the person who makes it production-ready.

This is a hands-on engineering role. Not research, not analytics.

Technical Environment

from day one)

)
Orchestration: Argo (or similar — willingness to learn matters more than prior
experience)
What You'll Own
Build new pipeline components as we upgrade and refactor data flows
Maintain and improve existing data pipelines — including sunset work on legacy
services
Integrate new data package sources after DS teams define the spec — you make it
production-grade
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
What We're Looking For
Must-have:
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

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)
What matters more than stack coverage:
You take ownership of what you ship and monitor it
You're used to working from a data spec that's 80% complete — you can fill the
gaps yourself and flag the ones you can't
You can work across the DS ↔ backend boundary without needing a translator
What We're Not Looking For
Full-stack generalists who drift toward frontend
People who wait for a ticket to tell them something is broken

Workthat matters – build solutions that support faster and more effective healthcare outcomes.
Hands-onAI work – practical experience with LLMs and modern AI applications used in real business scenarios.
FlexibleB2B compensation – €30–40/h depending on seniority (sole proprietorship only). Net invoicing, VAT settled on the Swiss side. Payments in EUR.
Remote-first setup– work from anywhere in Poland. Love good coffee and teamwork? You’re always welcome at our Wrocław office.
Long-termprojects with global pharma partners – stability, clear goals and meaningful work.
Growthopportunities – develop your skills, explore new tools and deepen your expertise in healthcare and data.
Join us and make your data skills matter.
Build your career in a stable international team shaping the future of healthcare.