Platform Lead: Senior Data Engineer (Databricks + Azure)
First data engineer at Livensa Group, owning a Databricks lakehouse on Azure end to end: building pipelines from Mews, HubSpot, Dynamics 365 and analytics into Power BI KPIs, running platform CI/CD on Azure DevOps, and potentially doing ML for pricing, occupancy forecasting and revenue analytics.
- Compensation
- Not disclosed
- Location
- Madrid, Spain
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Build and run a lakehouse on Databricks
- Data ingestion and pipeline ownership (Mews, HubSpot, Dynamics 365, analytics)
- Model data into trusted metrics and deliver KPIs to Power BI
- Lead CI/CD for the data platform on Azure DevOps
Nice to have
- ML work across pricing, occupancy forecasting and revenue analytics
Full description
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.