Descrizione dell'offerta
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 260 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:
We are looking to recruit a talented Data Engineer II on site (Rome) to join our team. In this role you will be required to implement data intensive applications. To be successful as a Data Engineer, you should have a good knowledge of distributed computing technologies. You should also have excellent problem solving skills.
RAL:
€38.5 - €48.5K
Responsibilities:
- Analyzes and implements a complex feature autonomously;
- Builds software solutions by adhering to our quality standards about SDLC;
- Participates in the technical design of features with guidance;
- Understands and optimizes system performances;
- Prioritizes tasks with autonomy based on requirements and proper context.
Informazioni aggiuntive
Opportunità: Data Engineer II (Onsite – Rome) a Roma, Lazio
Sei alla ricerca di una posizione come Data Engineer II (Onsite – Rome) presso Agile Lab S.r.l. a Roma? Di seguito trovi tutti i dettagli di questa offerta di lavoro.
Retribuzione indicativa: 30€ – 50€ EUR
Competenze valorizzate
- Agile
- Problem solving
Lavorare a Roma
Roma offre opportunità lavorative sia nel settore pubblico che privato, con una forte presenza di aziende internazionali e istituzioni.
Settore: Business intelligence e analisi, Banche dati, analisi e BI
Competenze rilevate
Candidatura e Ritorno (in fondo)
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