Senior Data Engineer

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, we're pretty sure you'll love idealista.

¿Tiene lo que se necesita para triunfar? La siguiente información debe ser leída atentamente por todos los candidatos.

The challenge

We're looking for a Senior Data Engineer to rebuild the data layer of one of idealista's core verticals from the ground up. This isn't maintenance work: it means redesigning data models, analytics, domain objects, and integrations on a modern architecture. You'll work within an established team, with real technical ownership over data decisions.

About the team

You'll join the Seeker segment, a group of multidisciplinary teams working together to shape one of idealista's 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, you'll help build the next generation of our platform, with the scale, ambition, and impact of one of Europe's leading proptech companies.

What you'll do

• Redesign the vertical's 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 frameworks like dbt or equivalent.
• Data modeling: dimensional, Data Vault, or both. You can articulate when to use which approach.
• Familiarity with modern data architectures: lakehouse, medallion, ELT. You understand the \"why\", not just the \"how\".
• Python or JVM (Java/Kotlin) for pipeline or data service development.
• Git and comfort with the command line.
• 5+ years of experience in data engineering or related roles.
• Experience working alongside product/backend teams, not only within data silos.

Nice to have

• Experience with ClickHouse or other columnar/OLAP databases.
• Familiarity with Oracle as an operational database.
• Experience with object storage (S3 or equivalent).
• Hands-on use of metadata catalog tools such as DataHub or similar.
• Experience with data observability tools and practices.
• Event-driven architectures (Kafka or equivalent).
• Domain knowledge in marketplaces or real estate.

Skills we value

• You know how to do technical discovery with business and product stakeholders: understanding what they need and why, not just taking requirements at face value.
• You communicate modeling decisions to non-technical audiences without losing rigor.
• You spot repetitive tasks and automate them.
• You have a documentation mindset: if it's not written down, it doesn't exist.

What we offer

• This is a fully remote position, but if you enjoy working from the office, you'll always be welcome at our headquarters in the heart of Madrid or at one of our collaborative workspaces.
• You'll keep learning—we mean it. Our platform is const