TL;DR
Data Engineer (AI): Designing and developing high-volume data pipelines and infrastructure for an AI-driven performance marketing ecosystem with an accent on Big Data technologies, cloud solutions, and scalable data models. Focus on driving technical roadmap, stakeholder alignment, and ensuring business value through data-driven solutions.
Location: Hybrid in Barcelona, Spain
Company
hirify.global is the world's leading travel subscription platform, pioneering Prime for global travel with over 7.7 million members and powered by a proprietary AI platform.
What you will do
- Deliver scalable data infrastructures and tools to support the Performance Marketing Team.
- Define the technical strategy for the Data Engineering team using modern Big Data and Cloud solutions.
- Align with diverse stakeholders and communicate technical solutions clearly.
- Apply an analytical mindset to solve complex pipeline issues and maximize business value.
Requirements
- Hybrid work model based in Barcelona.
- Ability to build, scale, and deliver engineering solutions at speed with technical depth in Big Data and Cloud infrastructure.
- Experience in complex data initiatives including ETL/ELT, Data Modeling, and data applications.
- Proven experience with data orchestrators like Airflow and Dagster.
- Successful end-to-end delivery of high-complexity data projects involving multiple stakeholders.
- Proficient in English and proven experience working in an Agile/Scrum environment.
Nice to have
- Experience with applied AI tools such as Vertex AI or Copilot.
- Curiosity and eagerness to explore and integrate emerging AI-driven solutions into data engineering workflows.
- Adaptability and learning agility to new AI features, LLM capabilities, and evolving data processing standards.
Culture & Benefits
- Rewarding compensation package including flexible benefits, performance-based bonuses, and Prime Plus membership.
- Hybrid home-office model focused on outcomes, valuing flexibility, employee care, and work-life balance.
- Opportunities for continuous learning and growth in a dynamic, diverse, and open-minded Agile environment.
- Access to after-work events, padel tournaments, parties, and interest-based communities.
- No dress code and free fruit, coffee, and tea at the offices.
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