Software Engineer - Scalable Data Crawlers & AI Pipelines

Softeta; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Flexible hours

Hybrid workplace model

Training budget

Job summary

Softeta is seeking an experienced Software Engineer to build scalable data collection solutions and deliver custom datasets for client projects. You will use Python or Go and AI-assisted development tools, taking ownership from initial requirements through to delivery.

You’ll build crawlers and parsers, integrate with databases and data pipelines, review code, and adapt solutions as client requirements evolve in a fast-paced, hybrid work environment.

Qualifications

• Strong backend development experience with Python or Go, or substantial web scraping expertise.
• Knowledge of web scraping, parsing, and headless browsers.
• Experience with PostgreSQL, BigQuery, or similar databases.
• Practical experience with AI development tools such as Cursor or Claude Code.
• Independent ownership, clear communication, and a pragmatic approach to delivery.

Responsibilities

• Build scalable crawlers, scrapers, and parsers handling millions of requests.
• Own client projects from requirements to dataset delivery.
• Write reusable Python or Go code using AI-assisted development tools.
• Integrate scraping solutions with databases and data pipelines.
• Review code, troubleshoot issues, and adapt solutions as requirements evolve.

Skills

Backend development (Python/Go)

Web scraping

Independent ownership

Clear communication

Pragmatic delivery

Tools

PostgreSQL

BigQuery

Playwright

Camoufox

Airflow

Claude Code

Cursor

Job description

Softeta is seeking an experienced Software Engineer to build scalable data collection solutions and deliver custom datasets for client projects. You will use Python or Go and AI-assisted development tools, taking ownership from initial requirements through to delivery.

You’ll build crawlers and parsers, integrate with databases and data pipelines, review code, and adapt solutions as client requirements evolve in a fast-paced, hybrid work environment.