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 2 to 4 years of experience in data engineering/analytics ~ Strong SQL skills (complex joins, aggregations, incremental patterns) ~ Proficiency in Python for services/pipelines ~ Comfortable with Git, PR reviews, pytest ~
📌 Mid Data Practitioner, Data - Analytics Engineering (Madrid)
🏢 Jobtailor
📍 Madrid
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