Senior Data Engineer

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

• Python — core language for everything
• SQL — daily use
• Docker — containerized services throughout
• AWS — Lambda, ECS, S3, Step Functions, CDK (experience a plus, not required

from day one)

• Data Stores: PostgreSQL, DynamoDB, BigQuery
• IaC: Terraform / CDK (nice to have)
• 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

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)

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

• What we offer
• 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 .