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
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
Strong collaboration skills with other teams
📌 Mid Data Practitioner, Data – Analytics Engineering (Madrid)
🏢 Aily Labs
📍 Madrid
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