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eDreams

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Lead Data Engineer - eDreams

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Summary

Lead Data Engineer at eDreams (online travel agency) in Barcelona, driving the data engineering strategy and delivering scalable data products for AI-driven Performance Marketing. Core stack includes Python, advanced SQL, dbt, and Dagster (Airflow a plus), with ETL/ELT, data modeling, and governance; hybrid work model.

Overview

In this role you will lead the design and delivery of scalable data products to enable AI-driven growth in our Performance Marketing domain. You’ll shape the data engineering strategy, collaborate with cross-functional teams, and ensure high data quality and governance. You’ll work in a fast-paced, Agile environment to transform complex data into actionable, businessValue-driven solutions. This is a high-impact opportunity to influence our AI-first data ecosystem at scale.

Compensaciones / Beneficios
  • Prime Plus membership and competitive salary
  • flexible benefits and relocation support
  • coursera access and continuous learning
  • onboarding program and career development paths
  • hybrid home-office model
  • equipment lifecycle program and device ownership
Responsabilidades
  • Architect and deliver scalable data products and infrastructure for AI-driven marketing strategies
  • Define and drive the long-term technical roadmap for the Data Engineering team
  • Align with stakeholders and translate technical solutions for non-technical audiences
  • Lead business-centric data analysis to maximize value of data pipelines and systems
Requisitos principales
  • Technical ownership and strategic thinking to build and scale engineering solutions
  • Experience with complex data initiatives and data architecture (ETL/ELT, data modeling, data applications, reverse ETL)
  • Data quality and governance design to minimize data loss and ensure privacy standards
  • First experience with AI and ability to leverage AI tools to improve development
  • Data orchestration using Dagster and ideally Airflow
  • End-to-end delivery of high-complexity data projects with cross-functional stakeholders
  • Agile/Scrum experience and comfort with iterative delivery
  • Mentorship and ability to coach teammates and conduct code reviews
  • Strategic communication to align technical and business stakeholders
  • Analytical mindset to leverage data for hypothesis validation and business value
  • Team player with ability to collaborate in a multicultural environment
  • English language proficiency
  • Stakeholder management
  • Mentorship
  • Team collaboration
  • Python
  • SQL (advanced)
  • dbt

Skills

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