Full-time
Compensation: EUR 60,000 - EUR 70,000 - yearly
Company Description
NielsenIQ is a global consumer intelligence company that helps clients understand consumer buying behavior and identify opportunities for growth. Our web data acquisition capabilities collect and transform public digital-commerce data that powers data-driven products and customer insights.
Job Description
The Engineering Manager, Web Data Acquisition leads an Europe-based engineering team responsible for building, operating, and improving scalable web-scraping capabilities. Reporting to a Senior Manager or Director, this role combines people leadership, technical delivery, operational ownership, and cross-functional execution. The manager is accountable for the performance and development of individual contributors in Europe and works with global Engineering, Product, Data Operations, and delivery stakeholders to translate priorities into reliable outcomes.
Lead and Develop the Europe Team
Manage, coach, and develop Europe-based engineers and associates, with clear goals, regular feedback, career development, and performance accountability.
Build an inclusive, high-trust team culture that values ownership, learning, engineering quality, and continuous improvement.
Plan team capacity, skills development, hiring, onboarding, succession coverage, and workload allocation for the Europe team.
Create clarity on priorities, decision rights, delivery expectations, and escalation paths.
Own Scraping Engineering Delivery
Lead the design, implementation, testing, deployment, and maintenance of web scrapers and supporting services.
Ensure reliable acquisition of retailer and marketplace data while managing changing websites, anti-bot defenses, data-quality requirements, and operational constraints.




Drive predictable execution across new-source onboarding, change requests, production support, technical debt, and platform improvements.
Use delivery and operational metrics to identify risks, remove bottlenecks, and improve throughput, quality, and resilience.
Drive Engineering and Operational Excellence
Establish practical engineering standards for code quality, reviews, testing, observability, documentation, security, and production readiness.
Improve automation, monitoring, alerting, failure diagnosis, recovery, and root-cause follow-through for scraping workflows.
Balance short-term delivery commitments with maintainability, scalability, cost, and platform alignment.
Promote responsible collection practices and adherence to applicable NIQ policies, contractual requirements, and legal guidance.
Partner Across the Organization
Partner with Product, Engineering, Data Operations, Customer Success, and delivery teams to clarify requirements and sequence work.
Communicate delivery health, dependencies, technical risks, trade-offs, and recovery plans to senior stakeholders.
Coordinate with peer managers and technical leaders across locations while retaining direct people-management scope for Europe-based associates only.
Contribute to planning, architecture discussions, operational reviews, and continuous-improvement initiatives for web data acquisition.




Qualifications
Required Qualifications
Experience managing software engineers or data-engineering professionals, including goal setting, coaching, performance management, and career development.
Ability to lead delivery across ambiguous requirements, operational pressure, and competing priorities.
Strong written and verbal communication skills, including the ability to explain technical risks and trade-offs to non-specialists.
Experience working with cross-functional and geographically distributed stakeholders.
Preferred Qualifications
Experience with retailer, marketplace, digital-commerce, or digital-shelf data.
Experience operating cloud-based services and automated data-processing workflows.
Experience improving team operating rhythms, delivery metrics, incident practices, and engineering productivity.
Experience hiring and scaling engineering teams.
Success in This Role
The team has clear priorities, strong engagement, effective coaching, and reliable execution.
Scraping services become more predictable, observable, maintainable, and resilient.
New and changed data sources are delivered with appropriate quality controls and operational readiness.
Stakeholders have timely visibility into delivery status, capacity, risks, and trade-offs.
Technical debt and recurring operational issues are systematically reduced.
Additional Information
Versátil working environment
Volunteer time off
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 ta

📌 Engineering Manager, Web Data Acquisition (San Sebastián de los Reyes)
🏢 NielsenIQ
📍 San Sebastián de los Reyes