Senior Data Engineer (Databricks / Azure)

About us

Livensa is one of Europe's leading student and flex living operators, with around 12,000 beds across Spain and Portugal and plans to grow into Italy, Germany, France and Austria. Part of the Nido Living group, owned by CPP Investments. After two portfolios merged and moved onto one new platform, we are building a single source of truth for occupancy, revenue and the resident journey, and the foundation for pricing and AI.

The role

You will be the first data engineer on the team, reporting to the Head of Data & AI. You will build and run our lakehouse on Databricks: ingest data from our operational systems, model it into metrics the business trusts, and put it into production with proper pipelines and monitoring.

What you will do

• Build ingestion pipelines from our core systems: Mews (PMS and billing), HubSpot (CRM), Dynamics 365, web and app analytics, and legacy sources being retired.
• Work on the platform's integrations with Mews and our other operational systems (webhooks, sync and billing services, Service Bus and Event Hubs), together with the product team.
• Model data in Databricks (Unity Catalog, Delta Lake, medallion architecture) with PySpark and SQL.
• Reconcile entities across two former portfolios: properties, room types, residents, bookings.
• Deliver the data behind company KPIs (occupancy, revenue, rebooking, conversion) and serve it to Power BI and other systems.
• Own CI/CD for the data platform in Azure DevOps (Databricks Asset Bundles, Terraform), with tests, data quality checks and monitoring.
• Act as the senior engineer on deployments and cloud operations for the whole platform, backing up and coaching the Full Stack engineer.
• Contribute to analytical and ML work as it starts: demand forecasting, pricing and occupancy mix, language models.

What you bring

• 5+ years as a data engineer, with production pipelines you've owned end to end.
• Strong Python, PySpark and SQL.
• Hands-on Databricks (or Spark on another lakehouse) and Azure data services.
• CI/CD and infrastructure as code (Azure DevOps or GitHub Actions; Terraform or Bicep), for data workloads and ideally for application deployments.
• Data modelling for analytics (dimensional or similar) and data quality practices.
• Integration with REST APIs and event streams (webhooks, Event Hubs, Service Bus or Kafka).
• Professional Spanish & English; you can agree a metric definition with finance and commercial teams.

Nice to have

• Data science or ML experience: forecasting, pricing or revenue management, MLflow.
• Power BI and semantic models; C# / .NET (our integration services are built in it).
• Hospitality, real estate or PBSA data (PMS, CRM, channel managers).
• GDPR-aware data design: PII handling, access control, retention.

Why join

• Build the data platform of a growing European operator, almost from scratch.
• Direct impact on pricing, occupancy and NOI decisions.
• Modern Azure + Databricks stack, managed services, and room to automate.