16 of 16 Snowflake Schema Jobs in the UK excluding London

PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and More ❯

PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and More ❯

PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflake schema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and More ❯

data engineering role. Proficient in SQL and Python . Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/CD pipelines, and containerisation (e.g., Docker). Ability to troubleshoot BI tool connections (e.g., Power BI). Desirable Skills Experience with Infrastructure 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 ❯

ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business More ❯

. Advanced programming skills in SQL and Python for data transformation and analysis. Experience with web analytics tools (e.g. Adobe Analytics). Familiarity with data warehousing and database modeling (Snowflake experience a plus). Strong communication and presentation skills, with the ability to explain complex data simply. Self-starter with a commercial mindset and a drive for continuous improvement. More ❯

in governance forums and strategic planning What You’ll Bring Proven experience designing and architecting complex, high-volume data systems Strong hands-on knowledge of cloud platforms (AWS preferred), Snowflake, DBT, and data modelling tools Experience with data integration, ETL, and API-based data exchange Familiarity with Data Vault, dimensional modelling, and master data management Excellent communication skills and 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) What More ❯

Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing … have a robust Infrastructure background and a good understanding of the different complexities that come when moving one system to another. Lets talk tech. The platform integrates Python and Snowflake and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have exposure with streaming platforms like Apache Kafka and be able … to develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice. Essentially, a strong Data Engineer who is a Snowflake enthusiast who can write solid SQL queries, within Snowflake! You will understanding Apache Kafka to a high standard and have solid knowledge of Apache Airflow - from a Cloud perspective, good AWS 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 ❯

Qualifications What we’d love you to bring: Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models Proficiency in converting intricate insurance business processes into scalable and user-friendly data structures that drive analytics, reporting, and scenarios powered by … Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC More ❯

and easy to use. Consolidate and migrate reporting from Excel/other tools into Power BI ; improve visual design and usability. Develop reliable datasets using SQL (SQL Server/Snowflake) and Power Query (M); contribute to version control and documentation. Partner with stakeholders to iterate, troubleshoot and continuously improve dashboard performance and adoption. What you’ll bring Strong experience … with Power BI , DAX , data modelling (star/snowflake), and SQL . Proven track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever More ❯

and easy to use. Consolidate and migrate reporting from Excel/other tools into Power BI ; improve visual design and usability. Develop reliable datasets using SQL (SQL Server/Snowflake) and Power Query (M); contribute to version control and documentation. Partner with stakeholders to iterate, troubleshoot and continuously improve dashboard performance and adoption. What you’ll bring Strong experience … with Power BI , DAX , data modelling (star/snowflake), and SQL . Proven track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever More ❯

and easy to use. Consolidate and migrate reporting from Excel/other tools into Power BI ; improve visual design and usability. Develop reliable datasets using SQL (SQL Server/Snowflake) and Power Query (M); contribute to version control and documentation. Partner with stakeholders to iterate, troubleshoot and continuously improve dashboard performance and adoption. What you’ll bring Strong experience … with Power BI , DAX , data modelling (star/snowflake), and SQL . Proven track record creating interactive, well-designed dashboards and reusable datasets. Good grasp of data governance, version control (Git/SharePoint) and documentation. Bonus: experience with Snowflake , Alteryx (or similar ETL/ELT), and coaching stakeholders on best practice. Benefits ... Here our colleagues do whatever More ❯