20 publicaciones de empleo destacadas de data governance platform engineer en madrid, 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
Databricks Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Parking gratuito
- Seguro de vida
Collibra Platform Engineer
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
11d
Midlevel Data Analyst
Blip Global —Madrid, Madrid provincia
- Azure
- SQL
- Machine learning
Data Architect – Google Cloud Platform (GCP)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
10d
Delivery Manager - Core Technology Platform
Keyrock —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
AI Platform Lead
Holcim —Madrid, Madrid provincia
- Informática
- Sistemas ERP
- Inglés
Principal Performance Engineer (Database & AI Benchmarking)
EDB —Madrid, Madrid provincia
- Teletrabajo
- Scripting
- Linux
- Inteligencia artificial
Solicitud rápida
Collibra Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
- Parking gratuito
- Seguro de vida
Senior Data Engineer (f/m/d)
Axpo Group —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Azure
- Informática
Senior Data Engineer
Wunderman Thompson MAP —Madrid, Madrid provincia
- Azure
- Oficina
- SQL
Head of Data and AI
Abion —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Inglés
- Oficina
AI Compliance and Governance Specialist
Sabio Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- Máster
- Seguro de vida
- Plan de pensiones
Solicitud rápida
10d
Python Engineer Data Domains
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Python
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Data Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- SQL
- AWS
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Senior Python Data Engineer (Dataiku)
EPAM Systems, Inc. —Madrid, Madrid provincia
- Oracle
- Inglés
- Oficina
- Vacaciones pagadas
- Programa de recomendación
Engineer - AI Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
8d
Senior Data & AI Product Owner: Clinical Data Warehouse (all genders)
Merck KGaA —Madrid, Madrid provincia
- Azure
- Informática
- Inglés
Document Controller
Alcazar Energy —Madrid, Madrid provincia
- Jornada completa
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel

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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 data governance platform engineer en madrid, md

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Responsibilities

1. Data Engineering (Core)

2. Revenue Operations

3. Technology & Tools

4. Collaboration & Environment

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