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KUKA

Florence / Global

Database Administrator

  • Hybrid

Job Description

Overview

In this role you will manage and optimize databases across Unix/Linux and Windows environments to support high-availability systems for intralogistics solutions. You will work within a global IT team to install, configure, and upgrade database and application services, ensuring reliability and performance for customer systems. You’ll handle data migrations, backups, and 24x7 standby support, collaborating across departments to deliver robust data infrastructure. This opportunity offers hands-on work with leading technologies in a fast-growing robotics-driven company.

Retribuzione / Benefits 13th salary

Yearly health inspection

Bonus

Cafeteria

Hybrid working

Great Team Spirit

Responsabilità Install, configure, and troubleshoot databases on Unix/Linux and Windows platforms

Install and configure application servers (WebLogic, WildFly)

Apply system upgrades/patches on customer environments (remote or onsite)

Configure and ensure high availability (Data Guard) for database systems

Perform data migrations between DB versions

Develop and enhance backup and restore strategies

Document changes in change log and asset management database

Provide standby 24x7 support and perform proactive problem analysis

Conduct regular database health checks and generate improvement recommendations

Adhere to Swisslog processes and standards

Requisiti fondamentali Degree in information technology, computer science or equivalent

Minimum 5 years as Database Administrator

Experience with Oracle DB, MS SQL, PostgreSQL

Scripting expertise (SQL, Shell, PL/SQL)

Experience with application servers WebLogic, WildFly, JBoss

Proficient English (written and spoken)

Strong collaboration across teams and departments

Proactive, reliable, and customer-oriented

Ability to work independently and willingness to travel internationally

Good communication, flexibility, and learning mindset

collaboration

proactive mindset

customer-oriented behavior

Oracle DB

MS SQL

PostgreSQL

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