9 of 9 Dimensional Modelling Jobs in Manchester

Proficiencyin programming languages such asPythonandSQL fordata processing and transformation. Experience designing and implementingETL/ELT pipelines, data integration patterns, and workflow orchestration. Understanding ofdata modelling concepts(dimensional modelling, data vault, normalized schemas) and when to apply them. Knowledge ofdata governance, data quality, and metadata managementprinciples. Experience withInfrastructure ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

/ELT practices. Experience working with modern cloud data platforms and orchestration technologies. Experience within the Microsoft data ecosystem would beadvantageous. Experience of data modelling for reporting and analytics, including dimensional modelling and designing datasets for downstream consumption. Experience with modern engineering practices including Git-based source ...

team if you have the following skills, knowledge and experienceStrong SQL skills and experience building analytical data models in a production environmentData modelling approaches such as dimensional modelling, star schemas, metric layers or similarWorking with dbt or similar transformation and orchestration toolsBuilding semantic models or reusable business … agents consume structured data, metric definitions and business contextExperience working with data contracts, medallion-style architecture or silver-to-gold data modelling patternsWhat success looks likeSuccess in this role is about helping the business trust and use data with confidence.You’ll create reliable analytical models, clear metric definitions ...

ability to explain complex topics in an easy‐to‐understand manner for both technical and non‐technical audiences. Experience of querying data warehouse dimensional models is advantageous. Familiarity with Azure data technologies, version control and CI/CD tooling (e.g. Azure DevOps, Git) for managing report and pipeline assets ...

learning and AI to accelerate change across our industry. This role is an opportunity to apply and develop your expertise in analytics engineering, data modelling and visualisation to build, extend and maintain the analytics and reporting capabilities that are central to decision making across Canopius. You will contribute … reliable and aligned to approved sources. Document solutions clearly, including data sources, logic, refresh schedules, access requirements and support considerations. Follow team standards for modelling conventions, naming, testing, deployment and version control, contributing suggestions for improvement where appropriate. Support the rationalisation and redevelopment of legacy reporting solutions as part ...

testing to ensure analytics outputs are accurate and reliable Document data sources, logic, refresh schedules, access requirements and support considerations Follow standards for modelling, naming, testing, deployment and version control Support rationalisation and redevelopment of legacy reporting solutions for migration onto modern platforms Communicate analytics outputs, assumptions, risks … Hands-on development experience with Power BI, including DAX, tabular/semantic models and paginated reports Good understanding of analytics engineering principles, semantic/dimensional modelling and cloud-based data platforms Experience building clear, reliable and user-friendly reports and dashboards that support business decision making Good ...

strong advantage, but we care more that you have delivered on Synapse, Data Factory, Databricks or similar and can pick Fabric up fast. Data modelling depth: dimensional models and semantic layers built from messy, multi-source estates. You have taken ownership of a platform someone else built ...

ecosystem. Key responsibilities include: Building and maintaining data ingestion pipelines using Azure Data Factory (ADF) and Snowflake. Developing and supporting data warehousing solutions and dimensional data models. Creating and optimising datasets to support reporting, analytics, and business insights. Supporting the ongoing migration and development of solutions within Microsoft Fabric. … Data engineering experience, ideally 1-2 years in a dedicated engineering role. Building and maintaining ETL/ELT pipelines. Data warehousing concepts and dimensional modelling. Strong SQL skills and experience working within cloud-based data environments. THE BENEFITS: You will receive a salary of up to £45,000 depending ...