Data Engineer Revenue Operations

Madridonsitemid

via Greenhouse

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About this role

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.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: python, sql, databricks, bigquery, google cloud…

Level fit

This role is mid-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in Madrid. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqldatabricksbigquerygoogle cloudtableaulookerpower bigitteamshubspot

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