YOUR NEW COMPANY Candidarsi per questo ruolo è immediato. Scorra verso il basso e faccia clic su "Candidati" per essere preso/a in considerazione per questa posizione. Kirey 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; and a strong commitment—reflected in dedicated initiatives—to inclusion and diversity.
YOUR ROLE
We are seeking a motivated and analytical
Junior AWS Data Engineer
with 1–3 years of experience to join our Data & Analytics team.
Responsibilities
Design, 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.
Contribute to documentation and knowledge sharing within the team.
Requirements
Bachelor’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., S3, Lambda, Glue, Redshift).
Familiarity with:
Data pipeline development (ETL/ELT processes) Time series forecasting models
SQL and Python
Predictive analytics concepts
Understanding 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.
Strong analytical mindset, problem-solving skills and willingness to learn.
Good communication skills in English.
Nice to Have
Exposure to MLOps practices.
Experience deploying predictive models in production environments.
AWS Amplify or Angular
Knowledge of data visualization tools (e.g., Power BI, Tableau).
Familiarity with version control systems (Git).
Experience in retail, e-commerce, or pricing analytics domains.
WHO WE ARE LOOKING FOR
The 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 OFFER
Complex and innovative projects
A dynamic and merit-based work environment
Teamwork using Agile methodology
A structured professional growth path
Training courses and certifications
Welfare & Benefits program
Real smart working or full remote options with flexible hours
JOIN US
Work location:
Rome / Florence
We 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.
Kirey values and supports diversity in the workplace. All applications for open positions are welcomed and will be evaluated based on merit.
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 to exercise your rights (Art. 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. xdwybme The full Privacy Notice (Art. 13 GDPR) is available at the following link:
or upon request at