Job Title: Senior Data Engineer

Company Name: PeakData

Job Url: https://peakdata.bamboohr.com/careers/117?jr_id=69b879b63b74eb1e2c864ec1

Job Description: 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)