Data Engineer (Mid / Senior)

About PeakData

PeakData provides AI-powered market intelligence that helps pharmaceutical companiesoptimize drug launch execution and resource allocation. Our platform delivers actionableinsights on healthcare professionals (HCPs) and healthcare organizations (HCOs), givingcommercial 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 thebackend/data engineering team.

You'll work closely with the DS on handoffs from experimentation to production, with theProduct Manager on scope and priorities, and with the broader backend team on platformservices 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 — frombuilding and maintaining production pipelines to integrating new data sources andcontributing to backend services that power the platform.

You'll be working on: developing new pipeline components as we revamp and upgrade ourdata flows, cleaning up and sunsetting legacy services, maintaining and improving 

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

• 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.