10 of 10 Snowflake Schema Jobs in the Thames Valley

Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

Data Engineer (Azure, Snowflake, DBT) | Insurance | London (Hybrid) Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an experienced Data Engineer to join a major insurance client engagement. The role focuses on building out a Snowflake Data Warehouse established last year and scaling it to support multiple new data … Tax deducted at source, unlike umbrella companies and no umbrella company admin fees) Role Overview You’ll be working within a growing data engineering function, focused on scaling a Snowflake + DBT platform to support multiple analytical and operational use cases. The team is looking for an experienced engineer with strong technical depth and an insurance background, capable of … owning and extending core pipelines across the Azure and Snowflake stack. Key Skills & Experience Strong hands-on experience with Snowflake Cloud Data Warehouse (schemas, RBAC, performance tuning, ELT best practices). Proven commercial experience with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to More ❯

strategy for a high-growth Financial Services or FinTech firm. A Data Engineering background (or similar) with excellent hands-on experience and understanding of Data Warehouse (e.g. BigQuery, Redshift, Snowflake, Databricks), orchestration, data modelling and cloud technology (AWS, GCP, Azure) Strong AI literacy, including leveraging AI to pull insights from structured and unstructured data Excellent communication skills with the More ❯

Role Title: Senior Data Analyst Location: London Contract duration: 6 months Work mode: Hybrid - 2 to 3 WFO Minimum Criteria: Proficiency in data modelling techniques (3NF star/snowflake, Data Vault 2.0), using modern tools (erwin, PowerDesigner, Sparx EA) and version control Experience creating and maintaining data dictionaries, taxonomies, and reference/master data, with governance for ongoing maintenance More ❯

Senior Snowflake Developer Location: Hybrid – London - 2 days per week increasing in the New Year Day Rate - Inside around £500/day Starting ASAP for 6 months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the … cloud. As part of this initiative, you’ll play a key role in developing and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and reporting through Power BI. The role offers the chance to work on greenfield architecture, migrate legacy SQL Server solutions and collaborate closely with senior stakeholders on complex, high-impact data initiatives. What … You’ll Be Doing Design, develop and maintain data pipelines and models using Snowflake, dbt and Python. Enhance and support Power BI dashboards and data models, ensuring performance, accuracy and user accessibility. Contribute to the migration of legacy SQL Server (SSIS/SSAS/SSRS) systems into a modern Snowflake/Power BI environment. Work collaboratively with business More ❯

engineering, analytics, and business domains to design scalable, high-quality data models and pipelines. This is a fantastic opportunity to work on cutting-edge projects using technologies such as Snowflake, dbt, Data Vault, and Azure/AWS , while collaborating with data architects, data scientists, and business stakeholders to deliver insights that drive measurable impact. Key Responsibilities: Act as the … Partner with cross-functional teams to deliver insights and recommendations that drive business outcomes. Key Skills: Strong proficiency in SQL for data transformation and analytics. Hands-on experience with Snowflake , dbt , Data Modelling , and Data Vault methodologies. Solid understanding of data warehousing concepts and version control (GitHub) . Experience with cloud platforms (AWS or Azure) and scripting in Python More ❯

IRIS Software Group is one of the UK’s largest privately held software companies. Its purpose is to be the most trusted provider of mission-critical software and services, ensuring customers get it right first time, every time. IRIS has More ❯

value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and …/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. … DBT projects. Required Qualifications: 5+ years of experience in data engineering or a related field. Strong hands-on experience with DBT (modular SQL development, testing, documentation). Proficiency in Snowflake (data warehousing, performance tuning, security). Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages. Solid understanding of data modeling concepts (star/snowflake More ❯

Role – Technology Lead Technology – Snowflake, SQL Server, PostgreSQL, Data Warehousing, Data Lake, Medallion, Data Vault, Data Fabric, Semantic modelling Location – UK Business Unit – DNAINS Compensation – Competitive (including bonus) Job Description We are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient data models for Snowflake. … data models to support scalable, high-performance analytics and reporting solutions. You will analyse existing data models built on SQL Server and guide the development of optimized structures on Snowflake, ensuring alignment with business requirements and enterprise standards. You will collaborate with Business Analysts and cross-functional teams to translate complex reporting and analytics needs into efficient, well-governed … data requirements. Ensure data models align with industry standards and regulatory guidelines. Required 5+ years of experience in data modeling and database design. Strong expertise in SQL Server and Snowflake data modeling. Proficiency in SQL for data analysis and validation. Experience in data architecture principles and data governance. Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory More ❯