Platform Lead: Senior Data Engineer (Databricks + Azure)

Livensa Group; Madrid; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Livensa Group is seeking its first data engineer to build and run a lakehouse on Databricks, ingest data from core systems and model it into trusted metrics for the business.

You will own pipelines from Mews, HubSpot, Dynamics 365, and analytics, deliver KPI data to Power BI, and lead CI/CD for the data platform on Azure DevOps. The role combines hands-on engineering, platform operations, and potential ML work across pricing, occupancy forecasting and revenue analytics.

Qualifications

• 5+ years as a data engineer with production pipelines you own 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
• 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

Responsabilités

• Build ingestion pipelines from core systems: Mews, HubSpot, Dynamics 365, web/app analytics
• Work on platform integrations with Mews and other systems (webhooks, sync and billing services)
• Model data in Databricks (Unity Catalog, Delta Lake, medallion architecture) with PySpark and SQL
• Deliver data behind KPIs (occupancy, revenue, rebooking, conversion) to Power BI and other systems
• Own CI/CD for the data platform in Azure DevOps with tests and data quality monitoring
• Provide deployments and cloud operations support for the whole platform and coach other engineers
• Contribute to analytical and ML work: forecasting, pricing, occupancy mix, language models

Connaissances

Python

PySpark

SQL

Databricks

Azure data services

CI/CD

Infrastructure as code

Data modelling

REST APIs

English & Spanish

Outils

Databricks

Azure DevOps

GitHub Actions

Terraform

Bicep

Description du poste

Livensa Group is seeking its first data engineer to build and run a lakehouse on Databricks, ingest data from core systems and model it into trusted metrics for the business.

You will own pipelines from Mews, HubSpot, Dynamics 365, and analytics, deliver KPI data to Power BI, and lead CI/CD for the data platform on Azure DevOps. The role combines hands-on engineering, platform operations, and potential ML work across pricing, occupancy forecasting and revenue analytics.