Experteer Overview
Las cualificaciones, habilidades y toda la experiencia relevante necesaria para este puesto se pueden encontrar en la descripción completa a continuación.
In this role you will help scale and operate the marketing data ecosystem to power AI-driven growth. You’ll work within the Performance Marketing Technology team in Barcelona to turn complex data into data‑driven solutions that impact global campaigns. You’ll shape the technical roadmap, build scalable data pipelines, and collaborate with data scientists, product managers, and marketing leads. The opportunity combines hands-on engineering with strategic influence in a fast, Agile environment. You’ll join a mission‑driven company focused on high‑scale data and personalised travel experiences.
Compensaciones / Beneficios
• Design and deliver scalable data infrastructures and pipelines to support Performance Marketing initiatives
• Define and advance the long-term technical strategy for data engineering
• Align with stakeholders and communicate technical solutions to non-technical partners
• Conduct business-centric data analyses to maximize value from data pipelines
• Collaborate with Data Scientists, Product Managers, and Marketing to deliver end-to-end data projects
• Monitor progress, mitigate risks, and ensure timely delivery on high-complexity initiatives
Responsabilidades
• Technical ownership with ability to scale and deliver engineering solutions quickly
• Experience leading large-scale data initiatives (ETL/ELT, data modeling, data applications, reverse ETL)
• Exposure to AI coding tools and applying AI to improve development speed
• Proven data orchestration experience xpzdshu with Airflow and Dagster
• End-to-end project delivery in an Agile environment with multiple stakeholders
• Strong communication and mentoring skills, with ability to coach teammates
• Analytical mindset focused on data-driven decision making
• Team player with effective cross-cultural collaboration
• English proficiency
Requisitos principales
• flexible benefits
• hybrid work model
• relocation support
• premium equipment
• Coursera access for learning
• onboarding program