Role: Data Engineering Manager - Manchester, hybrid The Team: A highly passionate bunch, our data, analytics and AI team bring our unique software solutions to life. Our mission is to empower our customers and internal stakeholders to improve business performance and minimise risk by providing them with clean, reliable data and analytical models. We are with them to help protect their information, make informed decisions, deliver a personalised service and automate their workloads. Our engineers might be building data pipelines, modelling data, developing predictive models or automations for repeatable tasks or creation of data products. The role: Your role in the division is to lead the team developing our cloud data platform to further build-out our single source of truth for company data. We have a recently implemented technology stack and clear direction of travel, so your initial objectives will be to understand our business data and team capabilities to then expand and improve our Kimball-model data warehouse in Azure, focusing on new datasets, pipeline resilience, performance and security. You will lead and coach the team in deploying tools and processes to ensure good practice is embedded, in line with our strategic themes of quality, efficiency, empowerment, transparency and governance. That means you will be conversant with data warehouse modelling, source control, CICD and Infrastructure as Code. Our technology stack is based on Microsoft software: Azure, SQL Serve