26 to 50 of 53 Snowflake Schema Jobs in England

environment. The ideal candidate will have strong proficiency in Python and hands-on experience with Azure services like Data Factory and Databricks. Familiarity with Snowflake data models and third-party market data APIs is essential for success in this role. #J-18808-Ljbffr ...

company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Snowflake Data Engineer 3 month Fixed Term Contract London - Hybrid (Onsite 2 days per week) Fractal is a strategic AI partner to Fortune 500 companies with … Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Role/Responsibilities : Must have Snowflake &/Snowflake ML experience - this is mandatory for this Fractal Engineer role. Fractal Data Engineer roles required with the necessary Snowflake experience. ...

models and transformation pipelines that convert raw rights, royalty and catalogue data into clean, analysis-ready tables in AWS and Snowflake. Provide input on schema design for reporting layers, applying database normalisation principles, primary/foreign key relationships and referential integrity across datasets. Build and maintain ETL/… pipelines that move data from source systems and royalty statement feeds into Snowflake, via AWS S3 and Athena. Write and troubleshoot SQL and Python-based transformations to process royalty and usage datasets, developing a growing focus on performance and efficiency over time. Build, maintain and iterate on dashboards ...

financial positions and construction of quantitative datasets, including curves and volatility surfaces. You will develop robust, high-performance data pipelines using Python, SQL, and Snowflake to deliver accurate model inputs and support real-time market risk calculations across asset classes. #J-18808-Ljbffr ...

products Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data ...

cross-functional planning Data Engineering & Architecture Design and build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve … PostgreSQL), Python, versioned metadata frameworks DevOps: Git, CI/CD (Azure DevOps, GitHub Actions) | Monitoring: Custom logging, alerts, structured failure handling Security: Role-based schema access, PII isolation, audit trails Required Skills & Experience First-class STEM degree from a prestigious university 5+ years in Data Engineering/Platform roles ...

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 ...

Aladdin Data Cloud (ADC) SME & Triage Lead on a 6-month contract with hybrid London work. You will triage high-volume ADC inquiries, leverage Snowflake and data models, and coordinate with Data Engineers and BlackRock Aladdin Support. The role requires hands-on SQL, strong data governance, and ability ...

analytics and AI. The role involves pre-sales activity, requirements gathering with business and IT stakeholders, and delivering credible technical designs across Databricks, Snowflake, Fabric and Starburst. #J-18808-Ljbffr ...

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. 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 ...

support analytics dashboards and GUI tools with reliable backend infrastructure Develop real-time flow tracking solutions at critical market points Design and manage Snowflake data models, ensuring performance and scalability Integrate external data sources including ENTSOE, EPEX, KPLER, MetDesk, WoodMac, and others Collaborate with analytics teams to structure data … Python for data engineering and pipeline development Hands-on experience with Azure data services (Data Factory, Databricks, Blob Storage, etc.) Experience designing and optimising Snowflake data models Proven track record building and maintaining data pipelines at scale Experience integrating third-party market data APIs and external data feeds Familiarity ...

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 ...

will design modern data platforms for secure, scalable, and cost-efficient data foundations supporting analytics and AI, including lakehouse and federated architectures on Databricks, Snowflake, Fabric and Starburst. The role requires strong pre-sales capability, customer engagement with data stakeholders, and the ability to translate business goals #J ...

opportunities. You will design modern data platforms, enable data-driven decisions, and guide customers from legacy estates toward lakehouse/warehouse architectures on Databricks, Snowflake, Microsoft Fabric and Starburst. The role combines technical leadership with pre-sales engagement, governance, security, cost awareness, and collaboration with Solution Sales, partners ...

Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Job Title/Role: Lead Analytics Engineer Mandatory Required Skills Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. Modelling Concepts: Semantic Modelling, Dimensional Modelling (Kimball), Business/Logical/Physical Modelling. Skills: Software engineering … Detailed Job Description Key Responsibilities Build and maintain scalable modular data models using dbt inside Snowflake. Transition complex, unoptimised Teradata views into high-performance Snowflake tables. Implement data quality testing, version control (Git), and CI/CD pipelines for analytics code. Manage Snowflake warehouse optimization, access controls (ABAC ...

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 ...

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 ...

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 ...

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 ...

HCLTech invites a Lead Analytics Engineer to design and optimize analytics data models within Snowflake, applying dbt Core/Cloud to deliver reliable, scalable solutions. You will transition complex Teradata-derived workflows to high-performance Snowflake constructs, implement data quality tests, version control, and CI/CD processes ...