Barcelona
Full-time
Not specified
Mid-Senior level
Salary
Sponsorship
15% more than your current base salary
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Job Description

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 Airflow to 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 and SQL 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 productivity without 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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