Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value. Clients such as SEB, NordVPN, and CarVertical trust us with systems that serve millions of users globally. We strive for excellence, that’s why we created Cobble – Softeta’s own AI-native development workflow, built by our engineers, that standardizes how developers work with AI agents from requirement to working code.
We are looking for 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.
What you’ll do
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.
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.
Nice to have - experience with ETL/ELT pipelines, Airflow, Dagster, or Spark, alongside familiarity with Playwright, Camoufox, or cloud infrastructure.
Benefits
Diverse and technically challenging projects.
Training budget for professional and personal growth.
Flexible working hours and a hybrid workplace model.