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 validationAPI contract design
• Clean architectural boundaries
• Experience improving and hardening existing backend applications, not only building greenfield solutions.

Experience designing and implementing:

Unit tests

Integration testsEnd-to-end test strategies

Strong troubleshooting skills with experience addressing:

Performance issues

• Production incidents
• Reliability challenges
• Technical debt
• Experience with:

AWS

• DockerCI/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