Data Engineer (Middle) ID50589

AgileEngine
Municipality of Madrid, Spain
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Municipality of Madrid, Spain

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Databases
Data Systems
Python
SQL Databases
Working Model 2D
Vertica
Databricks

Job description

We 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., 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.

Requirements

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

Benefits & conditions

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.

About the company

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.

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