Job Description

You'll join a team of 60+ scrapers , engineers, analysts, and data lovers from across the globe. As part of our scraping and R&D; team, you’ll have space to experiment, push boundaries , and bring bold ideas to life. You’ll collaborate closely with Customer Success , Operations , and Data to ensure we extract high-quality, actionable data — fast and at scale.

This isn’t just a coding job. You’ll need to think like a hacker , move like an engineer, and act like an inventor

Job Description

- Design and build distributed scraping architectures that can scale across thousands of domains.

- Reverse engineer APIs and mobile apps using tools like Frida , mitmproxy , Charles Proxy, burp and many more.

- Detect common anti-bot measures (like JavaScript checks or browser behavior detection) to build crawlers that adjust to appear more human-like.

- Lead technical innovation in scraping: identify edge cases, prototype new approaches, and share knowledge with the team.

- Set up anomaly detection and monitoring to detect blockers or failures early

Qualifications

- 5+ years of experience with Python and large-scale scraping projects.

- Deep understanding of anti-bot technologies and how to bypass them, fingerprinting, WAFs, JavaScript challenges, etc.

- Experience working with Scrapy , Requests , httpx , Selenium , Playwright , or custom headless browser drivers.

- Skilled at handling proxies (residential, datacenter, rotating), session management, cookie injection, and TLS tweaking.

- Strong debugging skills across browser, HTTP traffic, and device-level interactions.

- You think independently and enjoy solving problems no one has solved before.

- Familiarity with structured storage formats (Parquet, Avro), or real-time stream processing.

- Good knowledge of databases like MongoDB, InfluxDB, and Redis, including how they work and how to optimize them.

➕ Bonus Skills

- Experience with real-device simulation for mobile scraping.





- Comfortable building and maintaining distributed task queues (Celery, Kafka, etc.).

- Experience scraping high-security platforms or mobile-first environments.

- Exposure to Linux or cloud environments (AWS, GCP, etc.).

- Basic understanding of Kubernetes, Cloud Run, and Cloud Functions to deploy and orchestrate scraping workloads.

Why Join NIQ Digital shelf

- You'll have ownership and freedom to experiment, backed by a team that thrives on innovation.

- You'll work with people who are truly passionate about data and know how to use it well.

- Your ideas will shape our strategy, tools, and success — you won’t just follow the Playbook; you’ll write about it.

- Friendly and transparent work culture, competitive salary, flexible hours, and the chance to grow fast in a high-impact role.

Additional Information

Our Benefits

- Adaptable working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles:

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing togethe

📌 Senior Web Scraper (Madrid)
🏢 NielsenIQ
📍 Madrid