Job Summary: Quadra Engenharia is seeking a Mid-Level Data Engineer to build its Data Area from scratch, using Python and SQL on Google Cloud Platform (GCP), with a focus on innovation and business impact. Key Highlights: 1. Building the Data Area from scratch 2. Innovating with data-driven solutions 3. Company focused on digital transformation Founded in 1979 and headquartered in Belém (PA), **Quadra Engenharia** stands out for its seriousness, competence, ethics, and professionalism in the civil construction sector. The company has extensive experience in public and private projects, focusing on high-quality, sophisticated residential, commercial, hospital, and shopping center buildings. Beyond its industry achievements (e.g., **Great Place to Work 2023** award and “Best Companies to Work for in Brazil”), Quadra is undergoing digital transformation — aiming to **innovate with data-driven solutions**. We value talent with a constructive mindset and an entrepreneurial spirit who wish to grow alongside the company and **build our Data Area from scratch**, delivering real business impact. **Key Responsibilities** * **Designing data pipelines**: primarily using **Python** and **SQL** on **Google Cloud Platform (GCP)**. Ensuring raw data is transformed into reliable, accessible information for enterprise use. * **Organizing and managing operational data**; * **Modeling consumption layers**; * **Cross-disciplinary collaboration**; * **Scaling data solutions**; **Requirements:** * **Bachelor’s degree in Data Engineering, Software Engineering, Computer Engineering, Computer Science, or related fields**; * **Prior experience** as a Data Engineer (Mid-Level) or similar role, with a track record of end-to-end implementation of data pipelines. Hands-on experience building production-grade data solutions is essential (formal academic credentials or certifications are not mandatory, but proven results from real-world projects are required). * **Proficiency in Python and SQL**; * **Knowledge of Google Cloud Platform (GCP)**; * **Data modeling**; * **Software engineering best practices**; * **Behavioral profile**: **Entrepreneurial mindset, autonomy, and proactivity**; * **Willingness to work onsite in Belém, Pará**; * **Use of AI.** **Preferred Qualifications** * **Certifications or courses** in data and cloud domains (e.g., **Google Professional Data Engineer**, Coursera/Alura Big Data courses, etc.), demonstrating continuous technical upskilling. * **Experience in Big Data and streaming**: familiarity with tools such as Apache Beam, Spark, Kafka, or similar for large-scale or real-time data processing. * **Knowledge of the civil construction sector**: prior domain knowledge is not required, but familiarity with engineering project data, construction data, or industrial data may be advantageous (enabling faster identification of data use cases). * **BI/Analytics tool proficiency**: understanding how data will be consumed; basic experience with data visualization tools (e.g., Power BI, Tableau, or Data Studio/Looker) or analytical languages (e.g., R) can support user-centric modeling. * **Contributions to data engineering communities/open-source projects**, or participation in data technology events (meetups, hackathons) — indicative of passion for the field.