Head of Data Extraction & Crawling, EMEA — Work Anywhere

Veeva Systems; España; Presencial; EUR 80.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Restricted Stock Units (RSUs)

Family health insurance

Private pension plans

Charitable contributions

Fitness reimbursement

Work anywhere

Descripción de la vacante

Veeva Systems is a mission-driven organization pioneering industry cloud for life sciences. The role leads 6-8 data analysts focusing on website data extraction, configuring crawlers, and handing data to the platform for processing with Python scripts.

The work impacts customer success by ensuring data freshness and availability, while tackling ad-hoc reporting. The team collaborates with product managers to balance workload, select extraction tools, and deliver timely data and reports, in a

Formación

• 3+ years of experience leading a technical team.
• Strong practices: version control and code reviews.
• Hands-on experience building robust, scalable crawlers.
• Solid understanding of data structures and data models.
• Project and task management skills.
• Basic understanding of Python.

Responsabilidades

• Lead a team of 6-8 analysts, including hiring and performance management
• Manage the team’s workload together with product managers
• Ensure the quality of the extracted data
• Select the right tools for data extraction and crawling for the team
• Ensure timely delivery of extracted data and reports

Conocimientos

Team leadership

Project management

Code reviews

Python basics

Data structures

Data modeling

Crawler development

Herramientas

Mozenda

Zyte

Descripción del empleo

Veeva Systems is a mission-driven organization pioneering industry cloud for life sciences. The role leads 6-8 data analysts focusing on website data extraction, configuring crawlers, and handing data to the platform for processing with Python scripts.

The work impacts customer success by ensuring data freshness and availability, while tackling ad-hoc reporting. The team collaborates with product managers to balance workload, select extraction tools, and deliver timely data and reports, in a