Logo for Data Impact by NielsenIQ

Senior Software Engineer (Web Scraping, Data acquisition, Data collection)

Role overview

Qualifications

  • 5+ years of experience with Python and large-scale scraping projects
  • Deep understanding of anti-bot technologies and how to bypass them
  • Experience working with Scrapy, Requests, httpx, Selenium, Playwright, or custom headless browser drivers
  • Strong debugging skills across browser, HTTP traffic, and device-level interactions

Responsibilities

  • 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
  • Detect common anti-bot measures to build crawlers that adjust to appear more human-like
  • Set up anomaly detection and monitoring to detect blockers or failures early

Key facts

Hard skills

Other skills

  • Problem Solving

About the company

Data Impact by NielsenIQ logo

Data Impact by NielsenIQ

Data Analytics & Business Intelligence

An increasingly complex market has put consumers at the centre of an omnichannel environment. For brands to succeed in this new reality, an ecommerce strategy that harnesses the power of data analytics is essential. Our platform offers the most complete and accurate suite of tools in the industry. Every day we collect 200+ billion data points, track 56,000+ online stores in 60+ countries across 720+ CPG retailers. Our location-based analytics provide precision unequalled among analytics providers. Data Impact’s digital shelf monitoring, Amazon insights and eretail media tracking give actionable and accountable guidance. Our scalable data is AI-powered and provides granular insight for manufacturers that directly improves sales, visibility, share of assortment, distribution, tracking and category overview.

Company details

Company typeStartup
IndustryData Analytics & Business Intelligence
Company size201 - 500

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Job description

Company Description

At NIQ Digital shelf, scraping isn’t just about collecting data, it’s about outsmarting the obstacles that stand in the way of visibility. Every day, we process tens of billions of data points from thousands of sources, both web and mobile, and transform them into actionable insights for the world’s top retailers and brands.

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

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

Our Benefits

  • Flexible 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: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

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 together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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Marcus Rivera

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