1 to 25 of 30 Dimensional Modelling Jobs in 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 ...

DATA MODELLER LONDON/HYBRID UP TO £65,000 This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best … across the organisation. ROLES AND RESPONSIBILITIES: The Data Modeller will: Design and develop conceptual, logical and physical data models for enterprise data platforms Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases Collaborate with data engineers, analysts and governance teams to ensure ...

behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting … will include: Setting and personally delivering target architecture for the ECP data estate the data warehouse, data hub, data lake, raw/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell ...

dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise in data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven ...

batch processing Desirable Skills Working knowledge of SAS (especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks ...

batch processing Desirable Skills Working knowledge of SAS (especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks Must have ...

foundations that analytics, BI, data science and ML all stand on. You'll work across the full data engineering lifecycle—from ingestion and modelling through to transformation, orchestration, quality, observability and platform operation. The role suits someone who pairs strong software engineering discipline with genuine interest in data modelling … production ELT/ETL pipelines that move data reliably at the volume and latency the business needs Model data in the warehouse or lakehouse—dimensional, Data Vault, One Big Table or domain-driven approaches, fit to the use case Build and maintain transformation layers in dbt (or equivalent), with ...

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 ...

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

term work supports broader programme and client objectives. About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools … e.g. Power BI) Deep understanding of data warehousing concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

batch and near-real-time data processing. Experience with data formats such as Parquet, Avro, ORC, JSON, and CSV. Good understanding of data modelling, data warehousing, and dimensional modelling concepts. Experience with data validation, reconciliation, data quality, audit, and logging frameworks. Experience with Git-based version control ...

Lead Data Business Analyst (Data Warehouse & Data Modelling) Our London based client is currently looking for a Lead Data Business Analyst to act as the bridge between business stakeholders and technical data teams to define, document, and validate requirements for their enterprise data warehouse. The Data Business Analyst will … requirements, including source‐to‐target mappings and logical, conceptual, and physical data models. Collaborate with data architects and data engineers to design and enhance dimensional data models, including fact and dimension tables using star and snowflake schemas. Produce and maintain data warehouse documentation, including entity relationship diagrams (ERDs), data ...

models and self-service tools the business actually uses to make decisions. You'll work across the full BI lifecycle—from gathering requirements and modelling data through to building, optimising and maintaining production reporting assets. The role suits someone who pairs strong SQL and modelling discipline with … curated layers that let business users answer their own questions (For Senior/Lead) Set BI standards, mentor junior developers, lead larger reporting and modelling initiatives What You'll Bring Technical Expertise: Strong SQL proficiency against modern cloud warehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Deep hands-on experience with ...

dashboards. - Build and optimise Power BI semantic models to meet organisational reporting needs. - Create and manage dataflows and shared datasets for enterprise reporting. Data Modelling & Architecture: - Apply dimensional modelling principles to enhance analytical workloads. - Collaborate with data engineers to design and document effective technical solutions. Operational Support … qualification in a technology discipline (Desirable). Proven experience in developing user requirements into effective BI visualisations (Essential). Familiarity with Power BI, data modelling, Azure DevOps, ORACLE, and Microsoft SQL Server. Strong analytical and problem-solving skills with the ability to communicate effectively. A full UK driving licence ...

integrations using Azure Data Factory and Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects … production or near-production environment Practical experience building and maintaining ETL/ELT pipelines in a cloud environment Working knowledge of data modelling concepts including star schema and dimensional modelling Please see full job description attached. What you can expect from us We believe doing your best ...

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 ...

+ benefits This is a rare opportunity to join an organisation undertaking a major data and digital transformation, with a clear path from data modelling into data architecture. You will step into a role designed for long-term growth, working closely with senior architects and influencing how data … support key business initiatives Contribute to the design and evolution of data architecture standards and best practices Work across multiple projects, ensuring consistency in modelling approaches and data structures Collaborate with data engineers, analysts, and governance teams to deliver high-quality data solutions Support the transition towards modern, cloud ...

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 ...

engineering solutions. The Fabric Ecosystem: Demonstrable, hands-on expertise with Microsoft Fabric , SQL , and Python/PySpark Notebooks . Core Competencies: Proven skill in dimensional modeling, data governance, and data extraction from online platforms via SaaS and APIs. Analytical Mindset: Excellent ability to analyze, manipulate, and interpret complex business ...

combining business analysis, data analysis and data cataloguing to identify and document data requirements. Proficient use of enterprise data platforms, semantic models and dimensional modelling (star schemas, fact/dimension tables). Proficient in data architecture principles, ETL processes and data pipeline concepts. Experience with data cataloguing tools ...

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 ...

Fabric Integrate and transform Salesforce data into a unified data platform. Develop and optimise ETL/ELT processes for performance and scalability. Implement data modelling best practices (star schema, dimensional modelling). Collaborate with stakeholders to translate business requirements into technical solutions. Key Requirements Proven experience ...

Agentic AI. Strong experience Must have prior experience with end-to-end implementation of Cloud data technologies (i.e.Fabric, Snowflake). Expertise in data modelling, ELT and implementing complex stored Procedures. Expertise in various Snowflake technologies like Snowpark, SnowPipe, SnowPipe Stream, Dynamic Tables, Document AI, Cortex Analytics, Unistore etc. Expertise … systems, Salesforce, GIS, PI Historian to Snowflake. Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modelling and third normal form) Experience with data security and data access controls and design Deep understanding of SoX, GDPR and Regulatory/ ...