20 oct
|
Livensa Living
|
Madrid
20 oct
Livensa Living
Madrid
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
📌 Senior Data Engineer (Madrid)
🏢 Livensa Living
📍 Madrid