Senior Data Engineer As you contemplate your future, you might be asking yourself, what's the next step? We're seeking an experienced Senior Data Engineer to join our Performance Marketing Technology Team in Barcelona to drive the evolution of our marketing data ecosystem. Por favor, verifique que tiene el nivel de experiencia y las cualificaciones adecuadas leyendo la descripción completa de esta posibilidad a continuación.
Working in a fast-paced Agile environment, you will collaborate closely with other Data Engineers, Performance Marketing managers, Product Managers and Data Scientists to turn complex data into data driven solutions.
Millions of Prime members every year across multiple markets5 brands: eDreams, GO Voyages, Opodo, Travellink, and the metasearch engine LiligoThis entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members.
Diversity is our strength that's why our eDOers are coming from different nationalities from all continents – 99% permanent contractsPrime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits.
The Role's

Key Responsibilities
As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers.
As a Senior Data Engineer in the Performance Marketing Team you will be in charge of: Architect & Deliver Scalable Data Products: Design, build,



and optimize high-throughput data products and infrastructures that serve as foundation for Performance Marketing AI strategies. Help define the long-term technical strategy for the Data Engineering team, ensure our infrastructure is modern, cost-efficient, resilient and aligned with industry trends in Big Data and Cloud. Stakeholder Alignment & Discovery: You are skilled at navigating diverse perspectives to build technical consensus and uncover opportunities.
Drive Business-Centric Analysis: You can demonstrate the technical depth to stay ahead of Big Data and Cloud infrastructure trends and the practical wisdom to apply them to complex business challenges. Experience in Complex Data Initiatives and Data Architecture: You provide technical guidance as well as hands on development for large-scale data initiatives (ETL/ELT & Data Modeling, data applications, reverse ETL).
You are capable of delivering strategic improvements to our data ecosystem that directly impact business performance. Data Quality and Governance: Experience with designing and implementing solutions to mitigate data loss, implement robust data privacy standards and ensure high-level of data quality across online marketing data. First experience with AI: You are able to comfortably leverage AI coding assistants to enhance the quality and delivery speed of your code. Data Orchestration: Proven experience using data orchestrators like Airflow and Dagster. End-to-End Project Delivery:



You successfully deliver high-complexity data projects involving multiple stakeholders (Data Science, Product, Marketing).
You are skilled at monitoring progress and mitigating timeline or technical risks in a fast-paced environment. Agile Mindset: Proven experience working in an Agile/Scrum environment.
You are comfortable with iterative development, participating in daily stand-ups, sprint planning, and retrospectives to deliver incremental value in a fast-paced setting. Mentorship & Feedback: You effectively give and receive feedback, including code reviews and data model deep dives.
Strategic Communication: You can communicate complex data concepts and technical architectures to both technical and business stakeholders, establishing alignment within the broader organization. Analytical Mindset: You possess a strong analytical mindset, proactively using data to validate hypotheses, ensure data quality and solve intricate problems.
you understand the business value of the data moving through them. Language Proficiency: You are proficient in English, allowing you to work and communicate effectively in our global and diverse workspace. Good to haveExperience with Applied AI Tools: Demonstrated comfort using practical AI tools such as Vertex AI or other AI-powered coding assistants e.g.
AI-Driven Data Solutions: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into data engineering workflows (e.g., automated data cleaning, anomaly detection, or predictive schema mapping).
Data Infrastructure for AI: Beyond utilizing AI productivity tools, you understand how to design data pipelines and structures optimized for AI products (e.g., A pro

📌 Senior Engineer, Data Engineering (Barcelona)
🏢 Edreams
📍 Barcelona