26 to 50 of 54 Snowflake Schema Jobs in London

what the data is telling them and how they can use it. Data Engineering & Infrastructure Develop and maintain data pipelines using Matillion. Work with Snowflake to structure, transform and manage analytical data. Improve the quality, consistency and accessibility of data within the existing data environment. Develop appropriate data models … Work hands-on with a substantial and constantly growing dataset. Develop sophisticated analytics across video, content, customers and commercial performance. Work across Matillion, Snowflake, Tableau, R and Python. Develop data science and machine learning solutions with real commercial impact. Work closely with teams across the business and see your ...

planning discussions on platform roadmap with Jack Morton team members. This role requires strong experience in the following: Python SQL Data Modeling Data Warehousing (Snowflake experience is desirable) ETL or ELT development API Integrations Batch and event-driven pipelines. The applicant should understand: Semantic indexing Retrieval-Augmented Generation … essential, with AI-specific experience being a bonus: PII handling and understanding of GDPR implications Audit logging Data access controls Platform and tooling Snowflake, AWS, Bedrock, integration patterns, languages, infrastructure as code. Snowflake AWS Cognito AWS S3 AWS Lamda AWS DynamoDB Experience required Azure or Snowflake data ...

umbrella). You will design scalable applications and data solutions across client onboarding to reporting, delivering cloud-native platforms on Azure and Snowflake data models, with CI/CD and IaC practices. You will mentor teams, drive engineering standards, ensure security and performance, and manage technical debt while improving ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. You’ll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with … testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues Work closely with Data ...

part of a growing Data Engineering function, working on critical data infrastructure across the business. You'll build and enhance modern data solutions using Snowflake, AWS, Python and SQL, working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with … stress testing. Key ResponsibilitiesBuild and enhance scalable data pipelines and infrastructureDevelop Python ETL/ELT pipelines and complex SQL modelsDesign and optimise Snowflake data solutionsIntegrate and manage large-scale financial and historical dataIdentify and resolve data quality and data integrity issuesWork closely with Data, Quant, Market Data and Risk ...

Director of Security Data Analytics, you will design and operate the data engineering foundations our analytics depend on: ingestion and transformation pipelines, Snowflake data models, automation, and the enrichment and AI-ready data patterns that turn raw security signals into trusted, analytics-ready data.Presentation-layer engineers own most visualization … build, and optimize data ingestion, transformation, and enrichment pipelines that turn security, technology, and business data into trusted, analytics-ready data. Build and maintain Snowflake data models and warehouse objects that support reporting, visualization, automation, and AI-enabled use cases. Develop automation that reduces manual data handling and reporting ...

years building API products, data platforms, or data distribution products at a B2B company Experience designing APIs for external consumers: you have opinions on schema design, versioning strategies, rate limiting, and what makes developer documentation actually useful Track record of shipping data products where you managed the full lifecycle … from defining what data to expose, through schema design, to commercial packaging and client onboarding Understanding of data infrastructure concepts: data pipelines, warehouses, ETL/ELT, data modelling, and platforms like Snowflake Comfortable with SQL and Python and capable of interrogating data to validate quality, understand usage patterns ...

description We are looking for a skilled .NET Engineer to build and operate the cloud infrastructure, automation, and deployment pipelines underpinning our next-generation Snowflake data warehouse and integration platform. This role is critical to ensuring our data platform is secure, scalable, and reliably delivered through modern DevOps practices. … project team to enable continuous delivery, environment consistency, and operational excellence across the platform. Responsibilities Infrastructure & Platform Engineering Design and build .NET solutions alongside Snowflake engineers Act as a senior SME, providing expertise and quality reviews. CI/CD & Automation Build and maintain CI/CD pipelines for data ...

/ELT equivalents Database & SQL: Expert-level SQL/T-SQL/PL-SQL, strong experience with Sybase, DB2, Oracle, or modern cloud warehouses (Snowflake, BigQuery) Scripting & OS: Unix/Linux Shell scripting, Python Scheduling & Messaging: Autosys, BMC Control-M, and experience with real-time event-streaming platforms like … Apache Kafka Data Modeling: Solid understanding of dimensional modeling, star/snowflake schemas, and data lineage mapping Desirable: Relevant experience in Financial Services and knowledge of the cleared derivatives lifecycle. Next steps Next steps This client will only accept workers operating via an Umbrella or PAYE engagement model. ...

vendor sells. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team’s model gateway, Snowflake and Microsoft Fabric, and Azure with Terraform, Docker, and CI/CD. AI Engineering is being established for the first time here, so you will … frameworks, and patterns before recommending we adopt them. Make enterprise data AI‐ready Build governed, AI‐ready views, indexes, semantic context, and connectors over Snowflake, enterprise platforms, APIs, and external providers. Extend Accio so new datasets and downstream MCP servers are reachable through one governed interface rather than ...

description We are looking for a skilled .NET Engineer to build and operate the cloud infrastructure, automation, and deployment pipelines underpinning our next-generation Snowflake data warehouse and integration platform.This role is critical to ensuring our data platform is secure, scalable, and reliably delivered through modern DevOps practices. … project team to enable continuous delivery, environment consistency, and operational excellence across the platform. Responsibilities Infrastructure & Platform Engineeringo Design and build .NET solutions alongside Snowflake engineerso Act as a senior SME, providing expertise and quality reviews. CI/CD & Automationo Build and maintain CI/CD pipelines for data ...

performance tradeoffs, and operational challenges in batch and hybrid pipelines. Data platforms & analytics systems: You have hands‐on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL‐based analysis, and reasoning about performance, cost, and access patterns in real‐world environments. Streaming ...

readiness across data productsGuide and control the creation of data domains that align with the banks underlying capabilitiesData Engineering & PlatformsDesign data product schemas across Snowflake and Databricks, including Delta Lake structures and access patternsDefine and enforce architectural guardrails for data product design, including performance, scalability, security, and cost efficiencySet … design standards and review transformation/pipelines for complianceEmbed data contract standards and data quality frameworks across pipeline outputsAgentic AI & AI-Assisted DevelopmentLeverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data productsUtilize GitHub Copilot (or similar) to accelerate ...

products Guide and control the creation of data domains that align with the banks underlying capabilities Data Engineering & Platforms Design data product schemas across Snowflake and Databricks, including Delta Lake structures and access patterns Define and enforce architectural guardrails for data product design, including performance, scalability, security, and cost … review transformation/pipelines for compliance Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI-Assisted Development Leverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data products Utilize GitHub Copilot (or similar ...

architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business. Leveraging your expertise in Snowflake and dbt, you will enable the delivery of trusted, well-governed data that supports critical functions including analytics, pricing, risk, and strategic decision-making … make an impactArchitecture & StrategyDefine and implement the enterprise data architecture aligned to insurance business priorities (underwriting, claims, actuarial, finance)Design and optimise Snowflake-based data platforms, ensuring scalability, security, and cost efficiencyLead the transition from legacy policy, claims, and finance systems to modern cloud data solutionsEstablish architectural patterns supporting ...

architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business. Leveraging your expertise in Snowflake and dbt, you will enable the delivery of trusted, well-governed data that supports critical functions including analytics, pricing, risk, and strategic decision-making … make an impact Architecture & Strategy Define and implement the enterprise data architecture aligned to insurance business priorities (underwriting, claims, actuarial, finance) Design and optimise Snowflake-based data platforms, ensuring scalability, security, and cost efficiency Lead the transition from legacy policy, claims, and finance systems to modern cloud data solutions ...

scale" actually looks like. Platform fluent. You're expert-level across BI tools like Tableau, Qlik, Power BI, Looker, Sigma and data platforms like Snowflake, Databricks, Redshift, Google BigQuery and you can evaluate a new one fast. Deep in data and semantic modeling. Expert-level SQL and data/… semantic modeling skills, with strong command of data warehousing ecosystems, schema design (OLTP vs. OLAP, star/snowflake, etc.), and security/governance patterns at enterprise scale. A force multiplier. You've mentored or technically guided other builders before reviewing their work, sharing patterns, and raising ...

analytics get built. You will take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake anddbt, the dashboards, and the semantic layer and data products people use every day. You will own the analytics engineering for key areas of the business … lldo Own the analytics engineering for assigned business domains, translating metric definition through data model, dashboard, and insight. Design, build, andmaintaindocumented, production-qualitydbtmodels in Snowflake that turn approved metric definitions into reliable, reusable models and semantic definitions, and power reporting, self-serve, automation, and AI. Identifyand resolve technical inconsistencies ...

analytics get built. You will take approved metric definitions and business questions and turn them into the models and metric logic in Snowflake anddbt, the dashboards, and the semantic layer and data products people use every day. You will own the analytics engineering for key areas of the business … lldo Own the analytics engineering for assigned business domains, translating metric definition through data model, dashboard, and insight. Design, build, andmaintaindocumented, production-qualitydbtmodels in Snowflake that turn approved metric definitions into reliable, reusable models and semantic definitions, and power reporting, self-serve, automation, and AI. Identifyand resolve technical inconsistencies ...

Future Health. As a Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams … keen to speak with you. What you’ll be doing Co‐owning the analytics platform architecture, designing end‐to‐end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long‐term technical vision for the analytics platform, ensuring it is scalable ...

Fractal is recruiting a Snowflake Data Engineer for a 3-month fixed-term contract in London with a hybrid onsite pattern (2 days per week in the office). The role focuses on building data models and pipelines in Snowflake, including Snowflake ML, and collaborating with Data … Scientists to migrate and validate PySpark-based use cases during the September–December window. Ideal candidates will bring Snowflake expertise, PySpark experience, and DBT knowledge. #J-18808-Ljbffr ...

Onboarding to Reporting. Key Responsibilities Design and deliver scalable applications, APIs, and data solutions. Develop cloud-native platforms on Microsoft Azure. Build and optimise Snowflake data models, pipelines, and integrations. Implement CI/CD, Infrastructure as Code, and automated testing. Drive engineering standards, security, performance, and operational stability. Mentor … engineers and support technical decision-making across teams. Manage technical debt, platform upgrades, and vulnerability remediation. Technologies C#/.NET, Microsoft Azure Snowflake Data engineering and integration platforms CI/CD and DevOps Infrastructure as Code Automated testing Agile delivery Desirable Python, Node.js TypeScript, React, Next.js TDD/ ...

value signal generation. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team’s model gateway, Snowflake, and Azure with Terraform, Docker, and CI/CD. What success looks like You ship. What you build reaches production, is used … particularly the investment process, front office workflows, or fixed income. Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction. Snowflake, Microsoft Fabric/OneLake, or comparable enterprise data platforms. Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production. TypeScript ...

value signal generation. Your toolkit spans Python and SQL, LLMs and agent frameworks, MCP, Azure AI Foundry through the AI Team's model gateway, Snowflake, and Azure with Terraform, Docker, and CI/CD.What success looks likeYou ship. What you build reaches production, is used by the business unit … particularly the investment process, front office workflows, or fixed income. Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction. Snowflake, Microsoft Fabric/OneLake, or comparable enterprise data platforms. Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production. TypeScript ...