If you enjoy working alongside positive people, in a collaborative environment where knowledge sharing is part of the culture and everyone is happy to help each other grow, keep reading, were pretty sure youll love idealista.
The challenge
Were looking for a Senior Data Engineer to rebuild the data layer of one of idealistas core verticals from the ground up. This isnt maintenance work: it means redesigning data models, analytics, domain objects, and integrations on a modern architecture. Youll work within an established team, with real technical ownership over data decisions.
About the team
Youll join the Seeker segment, a group of multidisciplinary teams working together to shape one of idealistas most strategic products. Your day-to-day will involve close collaboration with engineers, product managers, and other specialists across multiple teams, contributing to shared technical decisions and driving initiatives that go beyond the scope of a single squad. Together, youll help build the next generation of our platform, with the scale, ambition,



and impact of one of Europes leading proptech companies.
What youll do
Redesign the verticals data model: entities, relationships, events, and metrics. Think in terms of domain, not just tables.
Design and implement ingestion, transformation, and serving pipelines using dbt and columnar/OLAP databases.
Define and enforce data governance practices: ownership, lineage, asset cataloging, naming standards, and quality policies (freshness, completeness, accuracy).
Integrate heterogeneous sources (APIs, relational databases, events) by designing clear data contracts between teams.
Collaborate with product and backend teams to understand what data they need and why, and translate that into robust models and pipelines.
Document from day one: modeling decisions, contracts, standards.
What you need
Advanced SQL : CTEs, window functions, query optimization over large volumes. This is your primary tool.
Experience with transformation f

📌 Senior Data Engineer (Madrid)
🏢 Idealista
📍 Madrid