20 publicaciones de empleo destacadas de platform engineer (databricks) en getafe, md (¡Están contratando!)

Data Engineer Revenue Operations
Blip Global —Madrid, Madrid provincia
- Español
- Ventas
- Inglés
Solicitud rápida
Data Engineer
Lighthouse Intelligence Ltd. —Madrid, Madrid provincia
- Jornada completa
- Hotel
- Machine learning
- Python
Software/Data Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- SQL
- AWS
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
MLOps Engineer - Agentic Platform
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
Data & AI Strategy Data Science Analyst
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Senior Solutions Architect – Data & AI (Google Cloud Platform)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- APIs
- Inteligencia artificial
- Liderazgo
Senior MLOps Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Parking gratuito
- Seguro de vida
11d
AI Product Manager (100% Remote)
Tether Operations Limited —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- AWS
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
10d
Data Architect – Google Cloud Platform (GCP)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
AWS Data Engineer (IoT & Data)
Galeo Tech —Madrid, Madrid provincia
- Azure
- Máster
- SQL
Data Engineer - Life & Health Reinsurance
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Senior Data Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Azure
- Informática
Senior Scala Developer
N-iX —Madrid, Madrid provincia
- Teletrabajo
- Informática
Solicitud rápida
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
Data Engineer Consultant
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Oracle
Data Architect
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Máster
- AWS
1d
BI Specialist Consultant
Raona —Madrid, Madrid provincia
- De 20.000 € a 25.000 € al año
- Trabajo híbrido
- Microsoft Excel
- Azure
- Máster
- Oportunidades de crecimiento y desarrollo profesional
Data Actuary - Life & Health
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Data Architecture Lead
Chubb —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- SQL
- Plan de pensiones

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Data Engineer Revenue Operations

Blip Global
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Cualificaciones

Español
Power BI
Ventas
Git
Inglés
Google Cloud Platform
Tableau
SQL
ETL
Cloud
HubSpot
Python

Descripción completa del empleo

We are looking for a Mid-Level Data Engineer to join our Revenue Operations team, responsible for building, scaling, and maintaining data pipelines that support strategic revenue decisions.

This role plays a key part in connecting data across Marketing, Sales, Customer Success, and Finance, ensuring high data quality, reliability, and availability.

The position requires on-site presence in Madrid, with close collaboration across cross-functional teams in a fast-paced and constantly evolving environment.

Responsibilities

1. Data Engineering (Core)

Design, build, and maintain scalable and reliable data pipelines (ETL/ELT).
Develop and optimize analytical data models (bronze, silver, and gold layers).
Ensure data quality, governance, and consistency.
Monitor pipelines, proactively identify bottlenecks, and resolve failures.

2. Revenue Operations

Integrate data from multiple sources, including:
- CRM systems (e.g., HubSpot)
- Marketing platforms
- Financial and billing systems (SAP)
Build datasets to support analysis of:
- Sales funnel and pipeline
- Revenue forecasting
- Recurring revenue (MRR, ARR)
- Churn, retention, and expansion
Support the development of strategic KPIs and metrics for leadership and C-level stakeholders.

3. Technology & Tools

Use Databricks for data processing, transformation, and orchestration.
Work extensively with advanced SQL and Python.
Leverage the Google ecosystem, including:
- BigQuery
- Google Cloud Storage
- Google Sheets (automation and integrations)

4. Collaboration & Environment

Collaborate closely with business teams, translating requirements into technical solutions.
Participate actively in agile ceremonies (planning, daily stand-ups, reviews).
Thrive in a dynamic, high-growth, and fast-changing environment.
Continuously propose improvements in architecture, processes, and performance.

Requirements

Proven experience as a Mid-Level Data Engineer.
Strong expertise in SQL (data modeling and performance optimization).
Solid experience with Python for data engineering.
Hands-on experience with Databricks.
Experience with Google Cloud Platform (BigQuery, GCS).
Previous experience in Revenue Operations, Sales, or Finance.
Knowledge of SaaS metrics (MRR, ARR, LTV, CAC, churn).
Strong understanding of:
- ETL / ELT processes
- Data Warehousing and Data Lakes
- Dimensional data modeling
Experience with version control systems (Git).

Nice to Have

Experience with BI tools.
International work experience.
Fluence in Spanish.
Advanced English it's good.

Solicitud rápida

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Quiero recibir la alerta de empleo más reciente de platform engineer (databricks) en getafe, md

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1. Data Engineering (Core)

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4. Collaboration & Environment

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