Engineering Manager, Web Data Acquisition (Web Scraping)

Location: Remote, Europe-based team; role location listed as Madrid, Spain

Salary: EUR 60,000–70,000 yearly

Company

hirify.global is a global consumer intelligence company that collects and transforms public digital-commerce data to support data-driven products and customer insights.

What you will do

• Manage, coach, and develop Europe-based engineers and associates through goal setting, feedback, career development, performance management, hiring, onboarding, and workload planning.
• Lead the design, implementation, testing, deployment, and maintenance of web scrapers and supporting services for retailer and marketplace data.
• Drive reliable delivery across new-source onboarding, change requests, production support, technical debt, and platform improvements.
• Establish engineering standards for code quality, testing, observability, documentation, security, and production readiness.
• Improve automation, monitoring, alerting, failure diagnosis, recovery, and root-cause follow-through for scraping workflows.
• Partner with Product, Engineering, Data Operations, Customer Success, delivery teams, peer managers, and senior stakeholders on requirements, risks, architecture, planning, and operational reviews.

Requirements

• Experience managing software engineers or data-engineering professionals, including goal setting, coaching, performance management, and career development.
• Strong software-engineering background delivering production systems in a modern programming language such as Python, Java, C#, or JavaScript/TypeScript.
• Experience with web scraping, browser automation, crawling, data pipelines, distributed systems, or high-volume data collection.
• Working knowledge of HTTP, HTML/DOM, APIs, proxies, browser behavior, monitoring, incident response, and production support.
• Ability to lead delivery across ambiguous requirements, operational pressure, and competing priorities.
• Strong written and verbal communication skills, including explaining technical risks and trade-offs to non-specialists.
• Experience working with cross-functional and geographically distributed stakeholders.

Nice to have

• Experience with retailer, marketplace, digital-commerce, or digital-shelf data.
• Experience operating cloud-based services and automated data-processing workflows.
• Familiarity with anti-bot techniques, headless browsers, scraper observability, data-quality controls, and resilient extraction patterns.
• Experience improving team operating rhythms, delivery metrics, incident practices, and engineering productivity.
• Experience hiring and scaling engineering teams.

Culture & Benefits

• Flexible working environment.
• Inclusive, high-trust culture focused on ownership, learning, engineering quality, and continuous improvement.
• Volunteer time off.
• LinkedIn Learning.
• Employee Assistance Program.
• Responsible data collection aligned with applicable company policies, contractual requirements, and legal guidance.