Mid Data Practitioner, Data – Analytics Engineering

AILY LABS

Data Practitioner responsible for building reliable data solutions to power AI decision-making. Collaborates across teams ensuring high-quality data for actionable insights in business applications.

Posted 6/15/2026full-timeMadrid • 🇪🇸 SpainJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Health insurance
Professional development opportunities
Flexible working hours

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata pipelinesdata transformationdata qualitydata modelsAPIsevent-driven ingestionincremental patternscomplex joins

Soft Skills

collaborationteamwork