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Salary
≈ $37k – $73k per year (Estimated)
Location
Hybrid (Italy)

First seen by Alion on Oct 8, 2026.

Overview
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Jumpit is an Italian digital transformation company founded in 2019 as an innovative startup, delivering tailored technology solutions for large companies and banks as a partner. Its postings cover full stack and .NET developers, cloud and DevOps engineers, IoT platform engineers, Oracle and multi-cloud database administrators and data scientists. The company is headquartered in Milan, Italy.

Unisciti a JUMPIT: Innovazione, Persone e Crescita nel Cuore della Digital Transformation. Jumpit, nata nel 2019 come startup innovativa con l’obiettivo di guidare la trasformazione digitale di grandi aziende e istituti bancari. Offriamo soluzioni tecnologiche su misura e un servizio di eccellenza, sempre da partner, mai da semplici fornitori.
La nostra mission è chiara: non solo abbracciare il cambiamento tecnologico, ma guidarlo, creando soluzioni all'avanguardia che plasmino il futuro digitale.
In JUMPIT, crediamo fortemente nel mettere le persone al centro di ogni nostra iniziativa. Le persone sono il cuore pulsante della nostra azienda; il loro benessere, la loro crescita e il loro sviluppo sono la nostra priorità. Ci impegniamo a condividere le strategie aziendali con trasparenza e a fornire formazione e supporto a ogni livello, garantendo che ogni membro del team sia equipaggiato per eccellere e innovare.
Stiamo cercando professionisti che condividano la nostra visione, che siano guidati dalla passione per la tecnologia e che desiderino essere protagonisti nella costruzione di un futuro digitale più luminoso. Se sei pronto/a a far parte di una squadra che valorizza il talento, incoraggia la crescita personale e professionale e lavora in prima linea nel settore della digital transformation, CANDIDATI: JUMPIT è il posto giusto per te.

Posizione aperta: Data Engineer Databricks
Sede: Milano Ibrido (un giorno a settimana in presenza)

Descrizione del ruolo:
Il candidato si occuperà di sviluppare una soluzione in ambito HR, realizzata in Databricks.

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