Responsibilities

A continuación se detalla todo lo que necesita saber sobre lo que implica esta posibilidad, así como lo que se espera de los solicitantes.

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- Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery)

- Build and maintain data components (event-driven ingestion, transformations, APIs, catalogs)

- Write SQL-first transformations and Python for orchestration/API logic

- Implement data quality in the pipeline for validation, monitoring, and alerting systems at scale

- Optimize data models for performance, cost, and reliability across datasets

- Collaborate with Junior/Intern team members

Requirements

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- 2 to 4 years of experience in data engineering/analytics

- Strong SQL skills (complex xqbhyrx joins, aggregations, incremental patterns)

- Proficiency in Python for services/pipelines

- Comfortable with Git, PR reviews, pytest

- Strong collaboration skills with other teams

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📌 Mid Data Practitioner, Data – Analytics Engineering (Madrid)
🏢 Jobtailor
📍 Madrid