Data SQL Engineer
Pubblicato il 14-09-2026 - JobLeads in Italia
Who are We
E80 Group is a multinational company specialized in the development of automated and integrated intralogistics solutions for manufacturers of consumer goods,operating in the beverage,food,tissue,and other sectors. The main systems produced by E80 Group include: palletizing robots,laser-guided vehicles,robotic stretch wrappers and labellers,and automated high-density warehouses.
The entire logistics flow is centrally managed by the SM.I.LE80 software platform (Smart Integrated Logistics),that ensures the efficient integration of the systems,guaranteeing the optimal management of all operations: from the entry of raw materials to the storage,right through to shipping. With 14 branches located worldwide,the Group believes in 5 values enclosed in the acronym ECCUS: Enthusiasm,Charisma,Know-How,Humility,Wisdom. These are the pillars of E80 Group's corporate culture,which is always close to customers,people,and the territory.
Le seguenti informazioni hanno lo scopo di fornire ai potenziali candidati una migliore comprensione dei requisiti per questo ruolo.
About the Job
Within SM.I.LE80 engineering organization we are looking for a Data Engineer / SQL developer who can actively and effectively contribute to the evolution of SM.I.LE80 product,bringing in his experience and willing to learn about the unique blend of robotics,software engineering,automation and networking we have. We do value teamwork,openness,transparency,respect and courage,playing together in a fully Agile environment.
Responsibilities
- Contribute to the design,development,optimization of our data storage,data pipeline,reporting & analytics solutions
- Contribute to the setup and configuration HA/DR deployments
- Contribute to the design,development and administration of our future cloud based offering
Required Qualifications
- Bachelor Degree in software/computer science engineering or equivalent
- 10 years of working experience in the design,development and administration of relational data