Data Engineer Revenue Operations

Blip; Madrid; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Blip is seeking a Mid-Level Data Engineer to join our Revenue Operations team in Madrid. This role is crucial for building and maintaining data pipelines essential for strategic revenue decisions, enhancing the quality and availability of data across various departments.

The ideal candidate will have proven experience, strong skills in SQL and Python, and hands-on practice with Databricks. This key position requires on-site presence and offers a collaborative and dynamic working environment.

Formación

• Proven experience as a Mid-Level Data Engineer.
• Hands-on experience with Databricks.
• Solid experience with Python for data engineering.

Responsabilidades

• Design, build, and maintain scalable and reliable data pipelines (ETL/ELT).
• Integrate data from multiple sources, including CRM and financial systems.
• Ensure data quality, governance, and consistency.

Conocimientos

SQL (data modeling and performance optimization)

Python for data engineering

Databricks

Data Warehousing and Data Lakes

SaaS metrics (MRR, ARR, LTV, CAC, churn)

Herramientas

Google Cloud Platform (BigQuery, GCS)

Git

BI tools

Descripción 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

• 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.
• Work with large volumes of structured and semi‑structured data.
• Revenue Operations
• Integrate data from multiple sources, including:
  • CRM systems (e.g., HubSpot)
  • Marketing platforms
  • Financial and billing systems (SAP)
  • Product data sources
• Build datasets to support analysis of:
  • Sales funnel and pipeline
  • Revenue forecasting
  • Recurring revenue (MRR, ARR)
  • Churn, retention, and expansion
  • Performance metrics for SDRs, AEs, and CSMs
• Support the development of strategic KPIs and metrics for leadership and C‑level stakeholders.
• Partner closely with data analysts, RevOps, and business teams.
• 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)
• Enable BI tools and dashboards (e.g., Looker, Power BI, Tableau).
• 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.