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Data engineer (middle) id50589

Puerto de Vega (33790)
AgileEngine
Publicada el 13 abril
Descripción

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLEWe are looking for a Mid-Level Data Engineer for a focused 2–3 month engagement to deliver high-impact, short-term data solutions through reliable, well-documented pipelines. This role centers on building clean Python and SQL workflows with Airflow, supporting fast-moving projects that require autonomy, precision, and strong ownership. It stands out for its delivery-driven culture, independent working model, and the opportunity to make immediate, measurable impact in a project-based data environment.

WHAT YOU WILL DO

Design, implement, and maintain data pipelines using Python and SQL;

Work with Airflowto orchestrate and monitor data workflows;

Write clean, readable, and well-documented code (Python and SQL);

Collaborate with stakeholders to understand data requirements and translate them into robust implementations;

Ensure data reliability, performance, and clarity across pipelines and transformations;

Contribute to short-term deliverables with a strong sense of ownership and urgency.

MUST HAVES

3+ years of experience as a Data Engineer or similar role;

Strong Python andSQL skills, with a clear focus on code readability and documentation;

Hands‐on experience with Airflow;

Solid understanding of columnar databases and analytical data models;

High productivitywithout reliance on AI‐assisted coding tools;

Ability to work independently and deliver results in short‐term engagements;

Upper‐intermediate English level.

NICE TO HAVES

Experience with AWS data stack components;

Exposure to Databricks, ClickHouse, or Vertica;

Background working on short‐term or project‐based data initiatives.

PERKS AND BENEFITS

Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation: USD‐based pay with education, fitness, and team activity budgets.

Exciting projects: Modern solutions with Fortune 500 and top product companies.

Flextime: Flexible schedule with remote and office options.

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