Overview In this role you will help optimize data collection as a Python Developer in our scraping team. You will design, implement, and document robust Scrapy spiders to withstand website changes while preserving existing functionality. You'll ensure high data quality through code reviews and validation, and build sophisticated crawlers that navigate anti-bot measures.

You will contribute to major developments across codebases and share knowledge through documentation and training. This is a chance to shape scalable data pipelines for real-time market visibility in a fast-growing, startup-minded environment.

Compensaciones / Beneficios Adaptable working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Responsabilidades Design, implement and document Scrapy spiders for robust data collection

Perform code reviews and data validation to ensure quality

Develop crawlers that handle anti-bot measures using and browser techniques





Architect and contribute to new developments across multiple codebases with documentation and training

Collaborate with cross-functional teams to share knowledge and enable tooling improvements

Requisitos principales Master in Computer Science, IT, or related field

At least 3 years of professional software engineering experience

Knowledge of BeautifulSoup or Scrapy

Familiarity with HTML and JavaScript, understanding of SPAs

Experience with RESTful and/or GraphQL APIs

Hands-on experience with Django, FastAPI or similar Python frameworks

Scrapy knowledge is a plus

Experience with time series databases like InfluxDB is advantageous

Strong skills in Docker, Git, pandas, regex, Linux, and bash scripting

Proven experience with AWS, GCP, or Azure

Enthusiastic and motivated

Autonomous and proactive

Enjoys tackling challenging software engineering problems

Scrapy

BeautifulSoup

HTML/JavaScript

📌 Digital/Web (Barcelona)
🏢 NielsenIQ
📍 Barcelona