101 to 108 of 108 Permanent Snowflake Schema Jobs

Senior Engineer to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD pipelines … deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test automation. Familiarity with AI-powered development tools More ❯

values expertise, innovation, and collaboration. Design, develop, and maintain scalable data pipelines and transformation processes utilizing modern tools and frameworks Implement and optimise data workflows and ETL procedures within Snowflake Create robust data models to support advanced analytics and machine learning initiatives Collaborate with cross-functional stakeholders to understand business data requirements and deliver effective solutions Establish and enforce … machine learning models and interpret results to inform business decisions strong background in building enterprise data solutions Extensive hands-on experience with Python and data transformation techniques Expertise in Snowflake cloud data platform and ETL process optimisation Familiarity with machine learning tools such as TensorFlow or scikit-learn Experience managing end-to-end data projects within a fast-paced More ❯

Role: Snowflake Data Architect Location: Hove, UK Permanent Role Work Mode: Hybrid Role & Responsibilities Define and implement the end-end architecture of Data warehouse on Snowflake. Create and maintain conceptual, Logical and Physical Data Models in Snowflake. Design Data Pipelines and ingestion frameworks using Snowflake native tools. Work with Data Governance teams to establish Data lineage, Data quality More ❯

excellent opportunity within a growing commercial business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost customer opportunities, and develop strategies to increase sales and profitability. This role combines data science and commercial analysis to assist … the business to drive growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates are below More ❯

Senior Data Engineer page is loaded Senior Data Engineerlocations: Londontime type: Full timeposted on: Posted Todayjob requisition id: JR0149 What you will deliver Hands on development on Nexus Platform Responsible for the code quality and simplicity in the system Working More ❯

bridge between business teams and technical teams to ensure alignment on KPIs, metrics, and data logic. Data Exploration and Identification o Identify and extract the most relevant data from Snowflake to support business questions and performance tracking. o Conduct exploratory data analysis to uncover trends, anomalies, and opportunities for improvement in logistics operations. Data Modelling and Metric Logic o … stakeholders in understanding and using analytical outputs effectively. Continuous Improvement and Innovation o Continuously seek opportunities to improve data models, metric logic, and analytical processes. o Stay current with Snowflake capabilities, data analysis best practices, and logistics trends to enhance analytical value. Cross-Functional Collaboration o Partner with Qlik Developers, Data Engineers, and business units to ensure seamless integration … Alignment: Strong analytical skills to interpret complex data and translate business requirements into actionable insights. Ability to validate KPIs and metrics aligned with operational goals across departments. • Data Modeling & Snowflake Expertise: Proficiency in designing scalable and efficient data models using Snowflake. Experience with SQL for querying, transforming, and preparing data for analysis and visualization. Understanding of data warehousing principles More ❯

landscapes (MDM, CRM, ERP, Cloud DWH) through pragmatic and scalable architectural blueprints. Cloud Data Platform Leadership Design and implement high-performance cloud data platforms (AWS, Azure, Google Cloud, Databricks, Snowflake), overseeing data modelling, integration, transformation, and DevOps pipelines. Integrated Solution Architecture Design seamless integrations between cloud data platforms, AI/GenAI platforms, and business-critical systems (e.g., MDM, CRM … as a Data Architect , leading design and implementation of complex cloud-based data ecosystems. Solid engineering background with hands-on data platform implementation experience (AWS, Azure, GCP, Databricks, or Snowflake). Proven ability to evaluate data architecture decisions, influence business and IT stakeholders, and define strategic data direction. Strong understanding of coding best practices , code quality tools (e.g., SonarQube More ❯

landscapes (MDM, CRM, ERP, Cloud DWH) through pragmatic and scalable architectural blueprints. Cloud Data Platform Leadership Design and implement high-performance cloud data platforms (AWS, Azure, Google Cloud, Databricks, Snowflake), overseeing data modelling, integration, transformation, and DevOps pipelines. Integrated Solution Architecture Design seamless integrations between cloud data platforms, AI/GenAI platforms, and business-critical systems (e.g., MDM, CRM … as a Data Architect , leading design and implementation of complex cloud-based data ecosystems. Solid engineering background with hands-on data platform implementation experience (AWS, Azure, GCP, Databricks, or Snowflake). Proven ability to evaluate data architecture decisions, influence business and IT stakeholders, and define strategic data direction. Strong understanding of coding best practices , code quality tools (e.g., SonarQube More ❯