Data Engineer (Python)

Craftware is a technology company of over 500 experts, empowering large organizations to solve complex business challenges with modern IT solutions - from sales systems and automation to data platforms and AI. We operate where technology must be reliable, secure, and scalable. We deliver end-to-end projects: from analysis and architecture through implementation to development and maintenance. We are a trusted partner of industry leaders such as Salesforce, Veeva, UiPath, and Databricks.

Model: remote

Engagement: full-time

Responsibilities:

• Design, develop, and maintain production-grade Python backend services and APIs.

• Enhance and harden existing systems through improved architecture, code quality, validation, testing, and operational reliability.

• Build and maintain reliable data integrations, asynchronous processing pipelines, and long-running workflows.

• Collaborate with product owners, data engineers, data scientists, and full stack developers to deliver scalable solutions.

• Improve observability through structured logging, monitoring, alerting, and error handling.

• Diagnose and resolve performance bottlenecks, intermittent failures, and technical debt.

• Contribute to architecture decisions, code reviews, engineering standards, and release processes.

• Drive quality through comprehensive unit, integration, and end-to-end testing.
  

Requirements:

• Strong recent experience developing and maintaining production Python services.

• Hands-on experience with FastAPI or a comparable Python API framework.

• Strong understanding of:

  • Modular software design

  • Python typing and validation

  • API contract design

  • Clean architectural boundaries

• Experience improving and hardening existing backend applications, not only building greenfield solutions.

• Experience designing and implementing:

  • Unit tests

  • Integration tests

  • End-to-end test strategies

• Strong troubleshooting skills with experience addressing:

  • Performance issues

  • Production incidents

  • Reliability challenges

  • Technical debt

• Experience with:

  • AWS

  • Docker

  • CI/CD pipelines

  • Production deployment practices

• Experience working with databases, JSON schemas, data validation, and data integration patterns.

• Strong ownership mindset with a focus on delivery quality, code reviews, and validation of final solutions.

• Ability to work in small, testable, reviewable increments and maintain disciplined engineering practices.

• Strong understanding of when deterministic software solutions are more appropriate than AI or LLM-based approaches.

Nice to have:

• Experience with AI-enabled products, RAG architectures, or LLM integrations.

• Experience with vector databases and semantic search technologies.

• Familiarity with event-driven architectures and distributed systems.

• Experience within industrial, IoT, equipment monitoring, or predictive maintenance environments.

We offer:

• B2B contract (rate negotiated individually, up to 180 PLN net/h + VAT)

• Fully remote service delivery

• Broad range of projects (internal, international) - genuine variety of clients and tasks

• Budget for skills development and certifications as part of the collaboration

• Regular collaboration reviews and discussion of project scope

• Additional benefits available as part of the collaboration

• Networking and team-building events for project teams