Milton Keynes, Buckinghamshire, England, United Kingdom
Sonepar
Assist with infrastructure upgrade projects and contribute to new solution designs. Manage and monitor servers, storage systems (SAN/NAS), and network devices (switches, firewalls, WAPs). Ensure system performance, availability, and data integrity through proactive monitoring and backups. Support and test Disaster Recovery plans and contribute to business continuity strategies. Maintain accurate technical documentation and contribute to knowledge … DHCP, and VLANs, along with Proficient in managing and maintaining virtualized environments using VMware vSphere and Microsoft Hyper-V, including VM provisioning, resource optimization, high availability configurations, and troubleshooting performance issues. hands-on experience configuring and managing routers, switches, and firewalls. Experience with SAN (Storage Area Network) and NAS (Network Attached Storage) technologies, including provisioning, performancetuning … Strong time management, multitasking, and attention to detail. Ability to perform under pressure, especially during incidents or high-demand periods. WHAT SONEPAR UK CAN OFFER YOU Competitive Salary+ 5% performance bonus. Generous Time Off: Start with 25 days of annual leave, increasing with length of service up to 30 days with the option to flex up/down More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯
maintaining large-scale datasets and complex data pipelines in cloud environments. Proven capability in data architecture design, including the development and optimisation of end-to-end data pipelines for performance, reliability, and scalability. Expert-level knowledge of Databricks, including hands-on implementation, cluster management, performancetuning, and (ideally) relevant Databricks certifications. Hands-on experience with SQL and More ❯