Da remoto: Remoto
YOUR NEW COMPANYKirey is one of the leading European groups in technology consulting and system integration, with a distinctive positioning in the field of data‐driven innovation.Through a comprehensive portfolio of solutions—including Data & AI, Cloud, Software Development, Cybersecurity, Infrastructure & Automation, and Monitoring—Kirey transforms data complexity into intuitive, accessible solutions, empowering clients to achieve their business goals.Headquartered in Italy, with a solid international presence and nearly 1,500 employees, Kirey has delivered more than 10,000 projects for leading clients across the Insurance, Banking, Manufacturing, Retail, Public Administration, and Services & Energy sectors.At the heart of all this are people, who at Kirey find the space to fully express their talent and to feel like an active part of the company's value chain. This is made possible through continuous investment in improvement processes, supported by training; innovative ideas and encouragement of creativity, driven by consolidated expertise; YOUR ROLEWe are seeking a motivated and analytical Junior AWS Data Engineer with 1–3 years of experience to join our Data & Analytics team. ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL processes.Support the development and deployment of predictive models on time series data.Contribute to Dynamic Pricing initiatives through data modeling and forecasting techniques.Collaborate with Data Scientists and Business teams to translate business requirements into technical solutions.Work with AWS cloud services to manage, process, and analyze data.Ensure data quality, integrity, and performance optimization.Support model monitoring, validation, and continuous improvement activities.RequirementsBachelor's or Master's degree in Computer Science, Data Engineering, Statistics, Mathematics, or related field.1–3 years of experience in data engineering or related roles.Basic knowledge of AWS cloud services (e.g., Data pipeline development (ETL/ELT processes)Time series forecasting modelsSQL and PythonPredictive analytics conceptsUnderstanding of data modeling and data lakehouse concepts.Experience working with structured and semi-structured data.Basic familiarity with Amazon Bedrock and its potential applications in data-driven solutions.Good communication skills in English. AWS Amplify or AngularKnowledge of data visualization tools (e.g., Power BI, Tableau).Familiarity with version control systems (Git).WHO WE ARE LOOKING FORThe ideal candidate will support the development of data pipelines and predictive models, working on advanced analytics initiatives including Dynamic Pricing and the development of new forecasting models based on time series data.This role offers the opportunity to work with cloud-based technologies and AI-driven solutions within an innovative and data-driven environment. WHAT WE OFFERComplex and innovative projectsA dynamic and merit-based work environmentTeamwork using Agile methodologyA structured professional growth pathTraining courses and certificationsWelfare & Benefits programReal lavoro da remoto or full remote options with flexible hoursJOIN USWork location: Rome / FlorenceWe follow a Hybrid Work strategy designed to fully leverage the opportunities that remote work offers both to employees and to the company. Our approach to the work environment reflects the belief that a person's impact, contribution, and results matter more than their physical location.Your data will be processed for recruitment purposes (execution of pre-contractual measures) by parties, including external ones, involved in the selection process on behalf of the Data Controller, Kirey S.r.l., with registered office in Viale Francesco Restelli, 5 – 20124 Milan, represented by its legal representative pro tempore, and/or by other companies under its control and coordination. You may contact the Data Controller at privacy@kireygroup.15–22 GDPR), including the right to lodge a complaint with the Data Protection Authority. Your data will be stored for up to 24 months (unless interrupted or suspended for justified reasons) and will not be disclosed.