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Data Engineer I

Pubblicato il 17-10-2026 - AGILE LAB in Roma

We Offer Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices. Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures. With a highly skilled team of over 300 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation.
Take a look at our handbook to discover our core values and processes.
The Opportunity As a Data Engineer I based on site in Rome Italy, you will design and implement data-intensive applications, leveraging distributed computing technologies to build scalable and efficient data solutions.



The role requires strong problem-solving skills and a solid understanding of modern data engineering practices.
Salary and job classification Base salary: €30K - €40K
CCNL: Commercio
Ladder: Data Engineer I
Responsibilities Take ownership of well-defined tasks, completing them with increasing autonomy;
Understand and adhere to the organization's Software Development Life Cycle (SDLC) processes and best practices.
Requirements Essential working on site: Rome, Italy;
Italian language;
Bachelor’s degree in Computer Engineering or Computer Science;
Minimum experience of 6 months as a Big Data Engineer;
Good Knowledge of programming languages including Java;
Knowledge of NoSQL and RDBMS databases;
Good communication skills;
Team Player;
Ability to solve complex networking, data, and software issues;
Eager to learn.
We Offer Care about Growth & Development Training budget: €1.000 per year and 12 hours per month fully dedicated to your learning and g

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