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Data engineer (middle) id50589

Coimbra
AgileEngine
Anunciada dia 19 março
Descrição

Overview 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 us If you're looking for a place to grow, make an impact, and work with people who care, we would love to meet you!About the role 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.What you will doDesign, 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 HAVES3+ yearsof experience as aData Engineeror similar role;Strong Python and SQL skills, with a clear focus on code readability and documentation;Hands-on experience withAirflow ;Solid understanding ofcolumnar databases and analytical data models ;High productivity without reliance onAI-assistedcoding tools;Ability to work independently and deliver results in short-term engagements;Upper-intermediate English level.NICE TO HAVESExperience with AWS data stack components;Exposure to Databricks, ClickHouse, or Vertica;Background working on short-term or project-based data initiatives.PERKS AND BENEFITSProfessional 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.#J-18808-Ljbffr

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