526 to 550 of 868 Snowflake Jobs in the UK

Pipelines: Design, develop, and maintain efficient and scalable workflows using tools like dbt to transform raw data loaded into our data warehouse (Snowflake) into clean, ready-to-use data models. Data Modelling: Implement best-practice data modelling and software engineering techniques to ensure data structures are optimised for performance, accuracy … experience with dbt (Data Build Tool) or similar data transformation frameworks is essential. Data Warehousing: Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data modelling: Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques. Version Control: Proficiency with ...

sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from high-volume transactional retail data. End-to-End Deployment (MLOps): Partner with our engineers to transition your models … clean code, code review, CI/CD). Data & Pipeline Expertise: Hands-on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt. Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data ...

likely to involve: Python, including libraries such as Pandas, NumPy and scikit‐learn. SQL and large structured datasets. Cloud data platforms such as Snowflake, Databricks or similar. Git‐based version control and code review. CI/CD and automated testing using tools such as Azure DevOps, GitHub Actions or similar. … maintainability. Nice to Have Hands‐on experience with cloud platforms such as Azure, AWS or GCP. Exposure to modern data platforms such as Snowflake, Databricks, Spark or similar. Experience with MLOps practices such as model deployment, monitoring, versioning or model registries. Exposure to workflow orchestration or deployment tools such ...

architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data … Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals ...

architect. Cloud & Platform Mastery: Expertise in overseeing enterprise-scale migrations, data warehousing, and analytics workloads across major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake). Data Governance & Compliance: Robust understanding of data security, lineage, privacy (GDPR, CCPA), and financial sector regulatory frameworks (BCBS 239, DORA, Basel standards) governing financial data … Bridge the gap between C-suite strategy and engineering pods. Interrogate data architecture decisions, oversee cloud platform deployments (AWS/Azure/GCP, Databricks, Snowflake), and ensure technical solutions scale reliably and securely. Pre-Sales & Data Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals ...

Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services, with expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing … management and cataloguing, through to advanced analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human ...

data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large … into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud ...

cross-functional teams, shaping opportunities and delivering scalable AI solutions. You will collaborate with CTOs, CDOs and engineering leaders, leveraging expertise across Databricks, Snowflake and cloud services to drive production-grade AI capabilities at scale. #J-18808-Ljbffr ...

data architecture and engineering, aligning data solutions with compliance standards. The role involves creating architecture artifacts, designing scalable data solutions with cloud technologies like Snowflake and Databricks, and collaborating with solution architects. This hybrid position offers a salary of £450 - £500 per day, commensurate with experience. #J-18808-Ljbffr ...

will own delivery across architecture, data integration and AI use cases, directing cross-functional teams to deploy Oracle EPM, OneStream or Anaplan and integrate Snowflake or Databricks. #J-18808-Ljbffr ...

develop analytical solutions, build predictive models, and turn complex data into clear insights for multiple stakeholders across the business. You will work with Matillion, Snowflake, Tableau, R and Python, collaborating with Commercial, Finance, Operations and Tech teams to drive data-driven decisions. This is a hands-on, leadership role ...

craft compelling proposals, and help shape go-to-market strategy with a focus on feasibility and innovation. You will work with industry leaders, leveraging Snowflake, Databricks, Azure AI Foundry, and other top platforms to deliver high-impact outcomes. #J-18808-Ljbffr ...

quality engineering best practices. Strong stakeholder management skills Exposure to working with Salesforce and MuleSoft (or equivalent middleware/integration platforms) Desirable Experience AWS Snowflake ClearBank or payments platforms Digital banking/neobank environments #J-18808-Ljbffr ...

gain experience with different technologies, and collaborate with colleagues and stakeholders across the business. Learn a modern and user-friendly data analysis tech stack (Snowflake/Looker) Use the support of an AI agent to crunch data and help refine the AI agent for better outputs Get familiar with ...

quality, responsive user experiences. PostgreSQL & Redis - Design and optimise data flows and storage, using relational data models and in-memory caching to improve performance. Snowflake & AWS - Work across a modern cloud and data stack to support intelligent, data-driven product capabilities. AI-assisted development - Use AI tools across discovery, implementation ...

technical ideas clearly. Curious, self-sufficient and genuinely interested in emerging AI technology. Experience with technologies such as Agentforce, AWS Bedrock, Microsoft Copilot, Databricks, Snowflake, Cursor or comparable platforms would be beneficial. This opportunity would suit a modern, delivery-focused consultant who wants to remain close to new tools ...

duplicating them: Infrastructure for AWS accounts, networking, and cloud operations; Security for identity, access, and data protection; and Data/enterprise systems teams for Snowflake and system integrations. Key Responsibilities Own the internal implementation and architecture of Amazon Bedrock/AgentCore and related AWS services as the businesses single enterprise ...

driven and regulated environments. Deep understanding of investment management systems, data platforms, and integration architectures. Experience with cloud technologies (Azure) and modern data tools (Snowflake, Fabric). Exceptional stakeholder management skills, with the ability to influence at Board and Executive level. A strategic mindset combined with the ability to execute ...

execution of go-to-market strategies and programs to drive selection, onboarding and enablement, and drive GTM with ISVs (e.g., AWS, Meta, Shopify, Snowflake, Databricks, ContentSquare, AppsFlyer, etc.) in your region Responsibilities are categorized into two broad categories - (1) Enabling the Partner & Insider Sales & Customer Success teams on the joint ...

Information Technology with additional education in Information Security. Preferred – Experience with and/or understanding in Cloud based platforms such as Salesforce, Azure Blob, Snowflake, or AWS. Preferred – Experience with NTFS permissions, least privilege model, data access governance, and data lifecycle management. Competencies Analytical: Collects and researches data; designs workflows ...

inform pricing optimisation efforts within BSM Pricing and Optimisation. Support the use and integration of common tools and applications for pricing optimisation, including Python, Snowflake, and microservices-based back-end systems. Participate in and assist with Scrum activities, including story elaboration and daily stand-up meetings. The transformation covers primarily ...

enjoy being a product expert, creative problem solving, and want to work with a world-class team and customers such as Coinbase, Snowflake, Toast, Northwestern Mutual, Notion, Canva, Samsara, Databricks, Miro, and many more. You Will Help our largest customers drive procurement success on the Zip platform. Define customer business ...

Benefits: Competitive package Keywords Lead Software Developer, Principle Engineer, Staff Engineer, Full Stack Developer, JavaScript, TypeScript, NodeJS, Artificial Intelligence, Microservices, Vue, Redis, SQL Server, Snowflake, AWS, DevSecOps, CI/CD, AI, System Design, Domain Modelling, SaaS, SOLID Principles, Clean Code, Automated Testing, Technical Architecture, Scotland #J-18808-Ljbffr ...

ownership and data management principles. Experience with cloud-based modern data platforms or domain-focused data products. Familiarity with tools or approaches such as Snowflake, Matillion, API-led integration, event-driven integration, CRM or ERP platforms. We welcome applications from people with transferable experience who may not meet every nice ...

lead engineer, and contributed to the technical evolution of the integrations platform. The key technologies we use are Claude Code, Python, PostgreSQL, Snowflake and AWS. Requirements: We're looking for Engineers at the upper mid (E3) level to join our Global Client Integrations team. Required experience: Minimum 2 years experience ...