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

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)

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.

Use

Databricks

for data processing, transformation, and orchestration.

Work extensively with

advanced SQL

and

Python .

Leverage the

Google ecosystem , including:

BigQuery

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 improveme

📌 Data Engineer, Revenue Operations (Madrid)
🏢 Blip Global
📍 Madrid