Data & AnalyticsEngineer 12 Month FTC Liberty Wines is modernising its data estate: migrating from on-prem Analysis Services to the cloud, moving our WMS, ERP and bespoke apps to scalable platforms, and expanding AI/ML initiatives. We are evaluating both Fabric and Databricks as a potential strategic fit. As our hands-on Data & AnalyticsEngineer, youll play a key role in shaping and influencing that decision, helping assess the best platform for our needs based on your experience and contributing to successful delivery on either. You will work end-to-end, from schema design to dashboard storytelling, and be the pivotal data voice in the Technology team. This role … offers broad ownership across tooling, standards, engineering and enablement rather than being confined to a narrow BI silo. Key Responsibilities Data Platform Build-out Design relational & Lakehouse schemas in Fabric or Databricks Lead the re-architecture of SSAS cubes to modern Lakehouse models Set up medallion architecture and govern data pipelines. Contribute to the evaluation and selection of More ❯
be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: Provide technical leadership and oversight to the group Data & Analytics platform team. Responsible for ensuring the reliability, security and scalability of analytics platform services. Deliver full automation of the deployment of Data & Analytics platform … services via Infrastructure as code. Help to set development standards, configure operational support processes and provide technical assurance. Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile … such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. Strong understanding of security best practices within Azure and ideally AWS. Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After More ❯
be at the forefront of the green revolution, where every line of code contributes to a cleaner, brighter future. Key Responsibilities: * Provide technical leadership and oversight to the group Data & Analytics platform team. * Responsible for ensuring the reliability, security and scalability of analytics platform services. * Deliver full automation of the deployment of Data & Analytics platform … services via Infrastructure as code. * Help to set development standards, configure operational support processes and provide technical assurance. * Provide support to Data & Analytics platform users and internal development teams interacting with the Data & Analytics platform services. What do you need? * Extensive experience of deploying Azure and ideally AWS cloud resources and be fully conversant with agile … such as virtual machines - both Windows and Linux. Familiarity with server patching and maintenance. * Strong understanding of security best practices within Azure and ideally AWS. * Experience of configuring cloud data services (preferably Databricks) in Azure and ideally AWS. * Excellent communication and collaboration skills, with the ability to work across multiple technical and non-technical teams. What happens now? After More ❯
We're seeking a hands-on Data & AnalyticsEngineer with deep technical expertise across modern data platforms and analytics tooling. This role offers broad ownership-from platform architecture to dashboard delivery-and is ideal for someone who thrives in end-to-end data environments. This role does have on-site requirements and will initally … month contract. Core Responsibilities Architect relational and Lakehouse schemas using Fabric, Databricks, or equivalent platforms Rebuild legacy SSAS cubes into scalable Lakehouse models Design medallion architectures and govern data pipelines Build and orchestrate ETL/ELT flows across ERP, WMS, ecommerce, IoT, and APIs Deliver performant, insightful dashboards using Power BI or similar tools Prepare curated datasets for AI …/ML workflows and automation Implement CI/CD, Git-based source control, and workspace deployment automation Define and enforce data governance, lineage, and catalog standards Upskill analysts through documentation, enablement, and stakeholder engagement Ideal Skillset Strong SQL and data modelling (dimensional, 3NF) Experience with modern data platforms: Fabric, Databricks, Synapse, or similar Proficiency in Python and More ❯
