7 of 7 Permanent Analytics Jobs in Reigate

love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data ...

practical experience with Azure cloud and SaaS services (e.g., Container Apps, AKS, Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics). Containers, Container Apps, Kubernetes and microservices Experience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment ...

practical experience with Azure cloud and SaaS services (e.g., Container Apps, AKS, Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics).Containers, Container Apps, Kubernetes and microservicesExperience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment and scaling ...

AzureStrong scripting and IaC skills (PowerShell, Terraform, ARM, Pulumi, Bicep etc.) Experience of Microsoft Azure in areas such as networking, storage, integration, compute and analytics Experience of cloud observability concerns (logging, tracing, metrics, monitoring & alerting) Experience of Windows & Linux containers and orchestration platforms (Docker, Kubernetes) Strong interpersonal skills, with ...

Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, work will directly influence how we harness data to drive smarter decisions and better customer outcomes. This … cloud technologies. Key Responsibilities Designing, building and maintaining scalable data products. Developing and optimising data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases. Collaborating with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications. Integrating and transforming data ...

influence, align, and challenge effectively. Commercial awareness with an understanding of how businesses operate (e.g. sales, pricing). Experience working in data environments (analytics, MI, or data platforms). Ability to translate business requirements into clear, structured work for technical teams. Working knowledge of SQL or data tools (e.g. Databricks ...

data and AI engineers, scientists, developers, analysts, and architects. Together, they will design and build modern machine learning and AI services that support analytics and improve products across the business. It’s a chance to work on a very modern tech stack and learn from an incredible team. Key Responsibilities … supporting data products within modern data platform. Designing and delivering solutions with engineers, scientists and product teams. Developing and optimising data pipelines across the analytics platform. Integrating data from varied sources with strong quality standards. Maintaining orchestration, monitoring and performance of data components. Improving engineering processes across the wider data ...