Mars Wrigley Confectionery UK (SLO, WAL, ISB & PAD)
years of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and … fast-paced, agile environments and balance long-term strategy with short-term execution. Preferred Qualifications: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.). Experience with AI/ML technologies and data science platforms. Familiarity with DevOps, CI/CD pipelines, and Infrastructure as More ❯
Veeam, Commvault) VPN Knowledge Confident working in fast-paced, enterprise or multi-site environments 🎯 Nice-to-Haves: Microsoft certifications (MCSA/MCSE/Azure certs) Experience supporting cloud-based infrastructure (Azure or AWS) Exposure to SCCM, Intune, or modern endpoint management tools Understanding of ITIL processes More ❯
Maidenhead, England, United Kingdom Hybrid / WFH Options
Premier Group
Veeam, Commvault) VPN Knowledge Confident working in fast-paced, enterprise or multi-site environments 🎯 Nice-to-Haves: Microsoft certifications (MCSA/MCSE/Azure certs) Experience supporting cloud-based infrastructure (Azure or AWS) Exposure to SCCM, Intune, or modern endpoint management tools Understanding of ITIL processes More ❯
Mars Wrigley Confectionery UK (SLO, WAL, ISB &PAD)
related field. 10+ years of experience indata engineering, architecture, or platform management roles, with5+ years in leadership positions. Expertise inmodern data platforms (e.g., Azure, AWS, Google Cloud) and big datatechnologies (e.g., Spark, Kafka,Hadoop). Strong knowledge of data governanceframeworks, regulatory compliance (e.g., GDPR, CCPA), and datasecurity best … Ability to work in fast-paced, agileenvironments and balance long-term strategy with short-termexecution. PreferredQualifications: Certificationsin cloud platforms (AWS Certified Data Analytics, Azure DataEngineer, etc.). Experience with AI/MLtechnologies and data scienceplatforms. Familiarity with DevOps, CI/CDpipelines, and Infrastructure as Code(IaC). Whatcan More ❯
