1 to 25 of 36 Snowflake Schema Jobs in the UK

Understanding of secure data handling, GDPR, role-based access and privacy-preserving approaches such as pseudonymisation or anonymisation Desirable Knowledge of dimensional modelling, star schema, snowflake schema, data warehousing, lakehouse architecture or analytics engineering principles. Familiarity with Microsoft Purview or similar tools for metadata, lineage and governance. ...

Snowflake Data Architect Location: Wembley, London - FULLY ON-SITE Salary: Up to £95,000 + Benefits We are seeking an experienced Snowflake Data Architect to play a pivotal role in shaping and delivering a modern enterprise data platform. This is an opportunity to join a business undergoing significant … that support analytics, reporting, and emerging AI initiatives. Key Responsibilities Define and own enterprise-wide data modelling standards, including Data Vault, semantic layers, Star Schema patterns, Snowflake object hierarchies, and governance frameworks. Design scalable integration architectures for legacy platforms, including AS400, iSeries, and SQL-based systems, ensuring robust ...

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 ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

GenAI : LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen). Data Engineering : ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures. Cloud Platforms : AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery). MLOps : Model ...

reporting Your Skills and Experience Strong commercial experience as a Data Engineer with solid foundations in SQL and dimensional modelling Experience working with Snowflake or similar cloud data warehouses such as BigQuery Good Python capability, including orchestration tools such as Airflow Proven experience building and managing data ingestion pipelines ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

relational data Experience building dashboards and reports in Power BI, including use of DAX Solid understanding of data modelling principles such as star and snowflake schema Experience with ETL processes and data integration Strong experience gathering and translating business requirements into technical solutions Proven ability to work with ...

building lakehouse and pipeline solutions from ingestion through to consumption ETL and ELT design experience, including data modelling using lakehouse patterns and star or snowflake schemas Experience migrating or integrating legacy data sources such as Dataverse and SQL into modern analytics architectures Skills, knowledge and expertise required: Strong practical ...

capability Proven experience building Power BI dashboards and reports, including DAX for calculated measures Solid understanding of data modelling techniques such as star and snowflake schemas Experience working with ETL processes and data integration Confidence applying descriptive statistics and analytical techniques Strong background in requirements gathering and stakeholder engagement ...

maximise the value of their Contact Centre data. Key Responsibilities Data engineering & delivery Design relational database schemas, including normalised and analytical (star/snowflake) models. Build and maintain databases across platforms such as SQL Server, PostgreSQL and cloud data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery). Write ...

systems designs and programming activities. **Responsibilities:*** Develop, design, test and implement complex database programs using Python, Stored Procedure and leveraging tools such as Oracle, Snowflake, and Starburst.* Ability to handle complex large applications technically.* Strong understanding and practical experience of software engineering principles, such as Continuous Integration & Test-Driven ...

Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Fabric, Databricks, and Snowflake to support customer deployment flexibility. Contribute to the long-term roadmap for data and AI capabilities across Quantios products and internal teams. Data Modelling & Lakehouse … Governance, Security & Compliance Define data governance frameworks covering metadata, lineage, data catalogue, access management, and quality standards. Guide implementation of Purview, Unity Catalog, or Snowflake governance tooling depending on platform. Ensure that data architecture adheres to Quantios’ security, privacy, and regulatory requirements. Define patterns for sensitive data handling, encryption ...

communicate clearly, and balance technical detail with business needs. You’re comfortable crafting data solutions and supporting teams through delivery. Essential skills and experience Snowflake, Data modelling experience Experience in a data development environment – with some gained in Financial Services or regulated and/or Cloud Environments. Focus ...

expert for query performance optimisation (Spark execution plans, data skew, joins) Design and implement dimensional data models (star/snowflake schemas) Architect the semantic layer for BI (Omni or similar tools like Looker) Build CI/CD pipelines to automate testing and deployment Work with stakeholders across Product, Finance … data architecture Deep experience with Databricks (Lakehouse, Delta Lake, Unity Catalog) Expert SQL and distributed computing knowledge Strong experience with data modelling (star/snowflake schemas) Proven experience migrating legacy data platforms Ability to optimise performance across large datasets Experience with modern BI semantic layers (e.g. Looker, Omni, Superset ...

Principal Data Architect - Energy, Data Platforms, Snowflake, Azure Fabric £825 per day (Inside IR35) Primarily remote 3 - 6 months My client, a high-profile consultancy, urgently requires a Principal Data Architect to join a major Programme. This role will play a key part in delivering enterprise data architecture … Requirements: Proven experience as a Principal/Lead Data Architect in complex enterprise environments Strong track record delivering end-to-end cloud data platforms (Snowflake and/or Azure Fabric) Expertise in data modelling (dimensional, star/snowflake, 3NF) and ELT/ETL pipeline design Deep hands ...

Responsible Investment (RI), charity, and institutional mandates, and is undergoing significant change: custody outsourcing to a global custodian, consolidation of its data platform on Snowflake, and a strategic initiative to build enterprise data foundations that will underpin AI, analytics, and regulatory capability for the next five years. … implemented and adopted, not documentation only. The successful candidate will bridge modelling and engineering: translating logical models into implementation-ready artefacts consumed by Snowflake, downstream analytics, and integration layers. This role is critical to enabling the organisation to move from fragmented, siloed data to a coherent, governed enterprise data ...