17 of 17 Dimensional Modelling Jobs in England

and Dimensions with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self-starter with initiative and enthusiasm More ❯

valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools More ❯

valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools More ❯

day Inside IR35 Fully UK remote Initial 6 month contract with potential extensions Want to join a global educational organisation as a contract Solution Architect? Are you a data modelling pro with D365 experience? If so, read on! As a Data Solution Architect, you’ll be working on a Business Data logical model and other strategic projects. We need … strong stakeholder skills and experience working on large transformation programmes. You should have the following skills/experiences – Data Modelling Expertise – you should have strong experience in developing and maintaining logical and conceptual data models Microsoft Information Architecture – need to have a solid understanding of Microsoft Purview or related data governance tools Hands-on experience with ERP implementations, preferably … Factory, Azure Synapse, Azure Data Lake) ETL/ELT: experience designing and implementing data integration workflows Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Experience with dimensional modelling and data warehouse architecture patterns API Integration experience Data Security knowledge Sounds like you? Apply online or call Alasdair Walker from Be-IT to learn more. More ❯

team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

them with robust data pipelines. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures More ❯

and driving actionable insight. The role: Design, build, and maintain data pipelines and warehouse solutions Administer and optimise Snowflake in line with best practice Build data models using Kimball Dimensional Modelling Leverage dbt, Fivetran, and Power BI for data transformation and reporting Deliver dashboards and reports up to executive level Support data governance, quality, and compliance across multiple More ❯

dashboards for internal stakeholders Provide insights through reporting and performance monitoring Contribute to education design and improvement of data table structures Requirements Azure, Data Factory, Synapse, Analytics Data warehousing & dimensional modelling ETL Power BI, Power Automate hugely beneficial Benefits Opportunity to be part of significant change management and customisation projects Big sense of ownership, autonomy, and technical influence More ❯

dashboards for internal stakeholders Provide insights through reporting and performance monitoring Contribute to education design and improvement of data table structures Requirements Azure, Data Factory, Synapse, Analytics Data warehousing & dimensional modelling ETL Power BI, Power Automate hugely beneficial Benefits Opportunity to be part of significant change management and customisation projects Big sense of ownership, autonomy, and technical influence More ❯

to deliver scalable, modern data solutions. What You’ll Do Lead the technical design and delivery of the organisation’s analytic data platform Define and own data architecture principles, modelling standards, and governance practices Collaborate with architects, product owners, and external partners to shape scalable data solutions Manage and mentor a high-performing team of Data Engineers Support integration … 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 ability to More ❯

based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade pipelines with logging, alerting, retries, idempotency, and robust error handling. Experience with REST APIs, pagination, authentication (OAuth2, service principals), and file More ❯

based data storage solutions such as Snowflake and data lakehouse Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-based data integration. Strong understanding of data warehousing concepts, dimensional modelling and medallion architecture. Building production-grade pipelines with logging, alerting, retries, idempotency, and robust error handling. Experience with REST APIs, pagination, authentication (OAuth2, service principals), and file More ❯

mentor colleagues, promoting best practice and continuous improvement. Skills & Experience Strong knowledge of SAP Data Services and data warehousing best practices. Experience designing data marts/warehouses using Kimball dimensional modelling . Proficiency in ETL design, SQL development (Microsoft SQL Server; Oracle a plus). Background working in multi-developer teams with code branching/merging and promotion More ❯

mentor colleagues, promoting best practice and continuous improvement. Skills & Experience Strong knowledge of SAP Data Services and data warehousing best practices. Experience designing data marts/warehouses using Kimball dimensional modelling . Proficiency in ETL design, SQL development (Microsoft SQL Server; Oracle a plus). Background working in multi-developer teams with code branching/merging and promotion More ❯

engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience in pricing analytics and Mastercard Test & Learn platform is a bonus Details Start date: ASAP Duration: Approximately 3 months, with More ❯

data systems You Will Demonstrate Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise in diagnosing and optimising performance across SQL Server More ❯

lead and design data engineering solutions for our client. What You'll Do: Lead technical design using Medallion architecture and Azure ServicesCreate conceptual diagrams, source-to-target mapping, and dimensional data modelsGuide the data engineering team on development with ADF, Databricks, Python, JSON, and YAMLImplement performance optimization strategies during data transformationDeploy code artifacts using GitHub Workflows/CI-CD … stakeholdersOptional: Work with Log Analytics and KQL queries Must-Have Skills: 10+ years of experience in Data Engineering Hands-on experience with PySpark, ADF, Databricks, SQL Strong understanding of dimensional modeling, normalization, schema design, and data harmonization Experience with Erwin and data modeling toolsExcellent communication, problem-solving, and client-facing skills Why Join Us: Work in a dynamic, collaborative More ❯