FullStack Data Engineer

Description

Job Summary: We are seeking a FullStack Data Engineer with experience in Python and SQL to develop and maintain data analysis and processing applications on a cloud-based big data platform. Key Highlights: 1. Stable and secure professional career 2. Career progression prospects with training and certifications 3. Work-life balance Join Axians, where innovation grows on trust and autonomy, and every challenge is an opportunity to build impactful technology. **FULLSTACK DATA ENGINEER** **What We’re Looking For** We seek a professional experienced in Python and SQL, capable of developing, operating, and maintaining data analysis and processing applications on a cloud-based big data platform. We are looking for someone interested in the field of Data Science, autonomous, proactive, and able to integrate smoothly into dynamic teams—contributing to the delivery of robust and scalable data-driven solutions. **Your Day-to-Day Responsibilities** * Develop end-to-end features on a cloud-based big data platform, focused on data analysis and processing. * Participate in defining architectures, data flows, and processes required for various solutions. * Create proof-of-concepts to validate new approaches and features. * Develop, test, and deploy solutions across development, quality assurance, and production environments. * Monitor the performance of deployed solutions, performing debugging and evolutionary maintenance. * Document developed features and processes. * Provide support for data extractions and exploratory analyses. **Your Key Competencies** * Experience in Python, with emphasis on data manipulation and processing. * Solid experience in SQL. * Programming, troubleshooting, and debugging skills. * Interest in the field of Data Science. * Ability to work autonomously and with initiative. * Strong collaboration and teamwork skills. * Problem-solving ability and proactive search for solutions. * Willingness to learn new technologies and skills. **Your Key Qualifications** * Experience in AWS cloud environments is highly desirable (e.g., S3, Lambda, Athena, EC2, Glue, CDK/CloudFormation, Step Functions, Batch, Fargate, among others). * Knowledge of Spark or PySpark. * Experience with Git. * Experience using Jupyter Notebooks. * Experience developing applications and/or working in production environments. * Fluent English (mandatory). * Knowledge of Portuguese and Spanish (advantageous). **What We Offer:** **Stable Professional Career** Working on Axians projects makes you a valuable asset—we aim to offer stability through a secure career path. **Career Progression Prospects** You will have access to training programs and new certifications to further enhance your competencies. The 360° evaluation by managers and peers also supports your growth. **Work-Life Balance** Collaborating with Axians offers flexibility to balance professional demands with family responsibilities—ensuring neither area is neglected. **Competitive and Attractive Compensation** Working with Axians’ clients grants you access to performance bonuses, in addition to an attractive salary package (base salary + benefits). You’ll also receive health insurance and an Employee & Family Support Program (Psychological, Legal/Juridical, Psychosocial, and Financial assistance). Axians is the VINCI Energies Group’s brand dedicated to Information Technology and Digital Transformation. With international presence and a people-to-people approach, we combine technology, innovation, and proximity to create real impact in organizations and society. **Join Axians** At Axians, we believe talent has no single profile. We value diversity and foster an inclusive environment where everyone has space to grow and contribute. If you have a disability or impairment, we want to ensure equal opportunities throughout the entire recruitment and onboarding process. Whenever necessary, we provide reasonable accommodations to ensure equitable participation. If you require any accommodation, please contact us via email at **\[****recrutamento.axianspt@axians.com****]**.