Senior Data Quality Specialist - Web Crawling & AI Operations - Ringier Team

Ringier is a leading international media and technology company based in Switzerland, with a strong presence in digital marketplaces, media, and data-driven solutions. With over 180 years of history, Ringier has continuously evolved, embracing innovation to stay ahead in the ever-changing digital landscape. The company offers a dynamic work environment where technology professionals can make a tangible impact, working with cutting-edge tools to shape the future of digital media and data analytics. Collaborating with Ringier means joining a forward-thinking team that values creativity, excellence, and the power of data to drive business success.

Together with our partner we are looking for

Senior Data Quality Specialist - Web Crawling & AI Operations

to join a four-member team and own day-to-day crawling operations and the quality of ingested data.

Your responsibilities:

• Configure & Validate New Crawlers: Configure new crawlers manually or with AI agents. Clarify source URLs and extraction requirements with relevant stakeholders, validate results against source pages, and confirm coverage and attribute accuracy before release. Keep the Product Owner informed of readiness, progress, and blockers.

• Configure & Fix Degraded Crawlers: Diagnose crawler failures using app logs, HTTP status codes, timeouts, and validation flags. Inspect source pages, validate agent-proposed fixes before approval, or execute manual fixes via platform settings. Verify that changes restore correct extraction and data quality. Configuration areas include:

  • Page rendering and wait/delay conditions

  • CSS selectors, pagination patterns, and structural filters

  • Proxy rotation and request header configurations

  • Extraction prompts, validated via in-app simulators prior to deployment

• Supervise AI QA Agents: Review agent reports on unhealthy crawlers, investigate flagged cases, and instruct agents where needed. Check proposed configuration changes against source evidence and in-app test results before approving them; reject or adjust unsuitable proposals and verify outcomes after changes.

• Own Data Quality & Monitoring: Monitor dataset quality through volume trends, error rates, schema rejections, missing fields, source coverage, and freshness. Proactively investigate anomalies, prioritize issues by impact, and drive fixes or engineering escalations through to validated closure.

• Operational Transparency & Coordination: Maintain clear, proactive visibility into crawler onboarding, flagged issues, and remediation progress for the Product Owner and relevant teams, without requiring follow-up.

  • Produce periodic quality reports covering data health, new-crawler readiness, unresolved issues, recurring failure patterns, and improvement actions.

  • Maintain an up-to-date issue register with impact, priority, owner, status, next action, and next update time. Triage issues reported by agents, monitoring, or stakeholders.

  • Provide concise updates explaining the affected data, known impact, uncertainty, and next steps. Continue updates while an issue remains unresolved and confirm recovery when closing it.

  • Coordinate directly with relevant stakeholders when source or extraction requirements need clarification. Provide estimates and blockers to the Product Owner, who manages client expectations and delivery commitments.

• Validate Downstream Data: Inspect structured datasets for duplicates, formatting anomalies, invalid records, missing fields, stale or expired listings, and systematic extraction drift. Compare extracted data with source pages to detect missing listings and inaccurate values.

• Technical Escalations: Identify issues requiring platform, agent, or infrastructure changes. Provide the crawling engineers with reproducible examples, source evidence, and impact assessments; track escalations and keep the Product Owner informed through resolution.

• Own & Improve the Quality Process: Organize and continuously improve routines for crawler validation, agent-proposal review, issue prioritization, reporting, and escalation. Maintain practical acceptance criteria, checklists, configuration histories, and resolution notes. Coordinate checks with the Data QA colleague, identify recurring failures, and propose improvements to automated checks and platform capabilities for engineering to implement.

Your profile:

• Minimum 3+ years of QA or Data Ops experience.

• Proven Quality Assurance (QA) experience on web crawling, scraping, or data pipeline projects.

• Practical experience working with LLMs, prompt engineering, and understanding key concepts such as deterministic vs. non-deterministic outputs.

• Proficiency in data profiling and anomaly detection using SQL and spreadsheet tools.

• Solid structural understanding of web technologies: HTML/DOM elements, CSS selectors, pagination schemas, JavaScript execution, dynamic rendering, and proxy mechanisms.

• Aptitude for navigating complex visual platform configurations and parameter settings.

• Demonstrated ownership of operational issues and proactive internal stakeholder communication, including clear status updates, incident tracking, and quality reporting. Able to make progress, blockers, and risks visible without being chased.

• Strong problem-solving skills, a methodical approach to root-cause diagnosis, and sound judgment when validating automated recommendations. Able to organize and improve practical quality assurance routines.

• Strong written and spoken English communication skills.

Our offer:

• We value work-life balance and have flexible working hours.

• Lots of team activities and perks: yearly retreats, workshops, hackathons.

• A chance to work with a team of experienced engineers committed to continuous learning, with opportunities for growth through knowledge-sharing sessions and webinars.

• Work with an international team of world-class engineers.

• A modern, sunny, open working place with a positive and fun atmosphere.

• A stimulating work experience that will allow you to grow both professionally and personally.