10 of 10 Remote Snowflake Schema Jobs in the UK excluding London

as SSIS, Azure Data Factory, or similar. Familiarity with relational databases (e.g., MS SQL Server, MySQL, PostgreSQL). Exposure to data warehousing concepts and dimensional modelling (e.g., star/snowflake schemas). Experience working with cloud platforms (preferably Azure, but AWS or GCP also valuable). Understanding of data governance, data quality, and security best practices. Some experience with More ❯

Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such More ❯

Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such More ❯

dashboards, DAX, Power Query, and complex data modeling Strong SQL skills for data extraction, transformation, and performance optimisation (essential) Solid understanding of data warehousing principles such as star and snowflake schemas, as well as ETL processes Experience in designing and implementing semantic and tabular models for reporting solutions Excellent communication abilities with proven experience collaborating with clients (essential) Contract More ❯

products. Data Engineering Consultant, key responsibilities: 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 and insights Experience working in More ❯

Looker solutions that support sales performance and revenue growth. Develop, document, and distribute Looker reports, ensuring consistency, accuracy, and usability. Build and maintain robust data models in DBT and Snowflake, ensuring clean, trustworthy data flows into reporting. Support data integrity within Salesforce and other commercial data sources, enhancing quality and enabling consistent reporting. Automate ingestion and transformation of financial … tool such as Looker, Tableau, Power Bi or similar Good SQL skills, you know your way around a database. Some exposure to a cloud-based data warehouse such as Snowflake, Redshift, Big Query or similar. Some knowledge of ETL/ELT and data automation. A desire to work with complex Salesforce detail and master that data. Excellent problem-solving More ❯

maintain conceptual, logical, and physical data models. Develop and implement Data Vault 2.0 models for scalable and auditable data warehousing. Collaborate with engineering teams to implement models using DBT, Snowflake, Azure Data Factory, and Microsoft Fabric. Translate business requirements into robust data models. Ensure alignment with data governance, quality, and security standards. Provide technical guidance on data modelling best … Strong expertise in Data Vault modelling (preferably DV 2.0). Experience with semantic modelling for BI tools (eg, Power BI, Fabric). Hands-on experience with Azure Data Factory, Snowflake, DBT, and Microsoft Fabric. Understanding of Data Mesh principles and domain-oriented data product design. Familiarity with data governance, metadata management, and data quality frameworks. Experience in financial services More ❯

maintain conceptual, logical, and physical data models. Develop and implement Data Vault 2.0 models for scalable and auditable data warehousing. Collaborate with engineering teams to implement models using DBT, Snowflake, Azure Data Factory, and Microsoft Fabric. Translate business requirements into robust data models. Ensure alignment with data governance, quality, and security standards. Provide technical guidance on data modelling best … Strong expertise in Data Vault modelling (preferably DV 2.0). Experience with semantic modelling for BI tools (e.g., Power BI, Fabric). Hands-on experience with Azure Data Factory, Snowflake, DBT, and Microsoft Fabric. Understanding of Data Mesh principles and domain-oriented data product design. Familiarity with data governance, metadata management, and data quality frameworks. Experience in financial services More ❯

Senior Engineer to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD pipelines … deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test automation. Familiarity with AI-powered development tools More ❯

with data scientists, analysts, and engineers to deliver clean, structured, and reliable data. Develop robust data transformations in Python and SQL, ensuring performance and accuracy. Work hands-on with Snowflake to model, optimise, and manage data flows. Continuously improve data engineering practices - from automation to observability. Bring ideas to the table: help shape how data is collected, processed, and … years of experience in data engineering or a similar role. Strong Python skills for data processing and pipeline development. Proven experience writing complex and efficient SQL. Hands-on Snowflake experience (data modelling, performance tuning, pipelines). Familiarity with orchestration tools (e.g., Airflow, dbt) is a plus. A solid understanding of data best practices, version control (Git), and CI/ More ❯