10 of 10 Snowflake Schema Jobs in London

consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real … data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in‐memory ...

Title: Snowflake Data Architect Salary: Paying up to £90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake/Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture … with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience ...

deployments on Kubernetes platforms. You will assist with data modelling and data warehouse structures, including logical and physical data models and star/snowflake schema concepts. A key part of the role will be supporting data validation, reconciliation and monitoring to ensure data assets are accurate, reliable ...

Snowflake Data Architect Location: Wembley (Fully on-site) Salary: £100,000 + Permanent Benefits The Opportunity We are seeking an experienced Snowflake Data Architect to play a key role in shaping and evolving a modern enterprise data platform. This is an opportunity to define architecture standards, drive best … quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation, auditability, and data ...

predictive models, supporting forecasting, risk analysis and commercial data products. Key skills & experience Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills. Experience with Snowflake or similar cloud data platforms. Proven track record building predictive models in regulated financial services environments. Credit risk modelling experience, including PD models, scorecards ...

partnering with stakeholders to deliver high-quality analytics solutions Key Responsibilities Design and develop scalable domain models Build and optimise incremental dbt models in Snowflake Own work end-to-end, from discovery through to delivery Collaborate with business stakeholders to gather requirements and prioritise work Drive analytics engineering best ...

data models. Collaborate with data architects and data engineers to design and enhance dimensional data models, including fact and dimension tables using star and snowflake schemas. Produce and maintain data warehouse documentation, including entity relationship diagrams (ERDs), data dictionaries, business glossaries, and metadata. Analyse source systems to understand data … data standards, and reporting requirements to ensure consistent use of enterprise data. Essential Strong understanding of data warehousing principles, including dimensional modelling, star and snowflake schemas, normalisation and denormalisation. Extensive experience in data modelling using industry‐standard modelling tools. Strong SQL skills for data analysis, profiling, reconciliation, and validation. ...

providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Role: Snowflake Analytics Engineer Experience Level Required in Years: 8-10 years Mandatory Required Skills Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. … 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 ...

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 ...

London (St Botolph). You will design and execute data quality testing across the full data lifecycle, including ingestion, transformation, and reporting, validating Snowflake outputs and dbt models. You will extend automated test harnesses using dbt, SQL, Python, GitHub, and Azure DevOps, integrate tests into CI/ ...