10 of 10 Permanent Dimensional Modelling Jobs in the North of England

from SSRS into Snowflake \nAssess and rationalise existing reports (remove duplication, improve logic, simplify where possible)Redesign reporting structures to align with modern data modelling principles\n Define and Implement Best Practice \n \n Establish scalable standards for:\n \n Data modelling (e.g. dimensional modelling, layered … experience working with Snowflake (or similar cloud data warehouse)Experience migrating from legacy BI/reporting tools (e.g. SSRS, Cognos, Business Objects)Strong data modelling experience (dimensional modelling, star schemas, etc.)Experience building transformation layers in ELT environmentsTrack record of delivering in hands-on roles (not purely ...

operational systems, ERP platforms and high-volume transactional sources. Build reliable, high-performance data solutions for reporting and analytics. Design scalable data models using dimensional modelling techniques including star schema and Data Vault methodologies. Evaluate and modernise existing data architecture, identifying opportunities to improve performance, scalability and governance. … platforms using Azure, AWS, GCP or similar. Strong Python experience. Solid understanding of ETL/ELT processes and modern data warehousing principles. Experience with dimensional modelling, data governance and data architecture. Experience with Power BI and DAX. Experience integrating ERP and other operational business systems. Excellent stakeholder management ...

including query development and optimisation, stored procedures, and performance tuning \n Expert knowledge of end-to-end enterprise BI using Power BI including semantic modelling, DAX, Power Query, data visualisation best practice, report development, and performance optimisation \n Advanced data modelling including dimensional modelling, star schema ...

. Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity ...

implementing solutions on AWS data and analytics platforms. Proven expertise in data integration and analytics platforms on AWS, with strong understanding of data warehousing, dimensional modelling, and lakehouse/data lake concepts. Experience with AWS cloud platform, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon ...

such as Airflow to schedule, monitor and manage data pipelines Experience working with at least one major cloud data platform, preferably Azure Strong data modelling skills, including relational and dimensional modelling Knowledge of relational database technologies and best practices Proficiency in Python for data engineering, automation ...

writing. Significant experience delivering Power BI models and dashboards (DAX, Power Query, RLS, performance). ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly ...

collaborative engineering team. Key responsibilities include: Designing and developing scalable data pipelines for ingestion and transformation Writing high quality SQL for complex data modelling and analytics use cases Implementing dimensional models using Kimball methodologies Working with cloud data warehouse technologies such as Snowflake or BigQuery Supporting analytics … writing complex SQL, including CTEs and window functions Experience working with modern cloud data warehouses such as Snowflake, BigQuery or similar Solid understanding of dimensional modelling and data warehousing concepts Exposure to data transformation tools such as DBT is beneficial Basic knowledge of Python, ideally in the context ...

within a fast-paced environment. Desirable Skills Previous experience within the insurance, financial services or other regulated industries. Understanding of data warehousing concepts and dimensional modelling. Exposure to Python or R for data analysis. Knowledge of data governance and data quality best practices. Experience working within Agile environments. Package ...

ingest and transform data from multiple sources. Apache Airflow for workflow orchestration, scheduling and automation. Azure SQL and cloud-based data platforms. Data modelling, warehousing and optimisation activities. Data quality, governance and validation processes. Power BI reporting and business intelligence requirements. Technical and non-technical stakeholders across the business. … integration. Python scripting for automation, transformation and data engineering tasks. Experience with Apache Airflow or similar orchestration tools. Understanding of data warehousing and data modelling principles, including dimensional modelling. Experience working with cloud-based data platforms. Familiarity with Git and version control practices. Strong communication skills ...