Data Engineer I

15 ott - Latina
Agile Lab

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 dedica

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