26 to 50 of 56 Dimensional Modelling Jobs in London

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure More ❯

SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create intuitive data models and … and collaboration. You should bring: Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience: Track record of working in democratized data environments, establishing controls and guardrails Collaboration & Communication: Ability to More ❯

SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional models optimised for Power BI Drive Governance: Define and enforce data ownership, quality, and security standards within the Data Mesh architecture Enable Self-Service: Create intuitive data models and … and collaboration. You should bring: Technical Expertise: Proven experience coding ETL/ELT pipelines with Python, SQL, or ETL tools, and proficiency in Power BI, Tableau, or Qlik Data Modelling Skills: Strong knowledge of dimensional modelling and database principles Governance Experience: Track record of working in democratized data environments, establishing controls and guardrails Collaboration & Communication: Ability to More ❯

central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven Data Analyst experience of at … least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally More ❯

central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven Data Analyst experience of at … least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally More ❯

central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven Data Analyst experience of at … least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally More ❯

central Data Platform, working closely with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven Data Analyst experience of at … least 5 years, within a Financial Services environment, with particular emphasis on Risk or cross asset derivatives areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data structures. Data quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally More ❯

Technology - Deep knowledge of MS Data Platform technologies. - On prem and Azure knowledge - A good understating of all things data - data integration, warehousing, advanced analytics, etc - Strong knowledge of dimensional modelling techniques - Familiarity of data engineering tools and automation practices (CI/CD pipelines, DevOps etc) This is an excellent role for a proven Senior Data Services Manager More ❯

long-term team growth and sustainability. Technical Expertise: Extensive experience designing and implementing scalable, metadata-driven data solutions, optimised for analytical consumption and operational robustness. Deep expertise in data modelling, specifically using star schema methodology, and building performant dimensional models to support high-velocity datasets. Strong experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, Composer (Apache Airflow More ❯

field. 10+ years of experience in data architecture and modeling. Proven experience in data modeling, data architecture, and data product design. Proficiency in data modeling standards and techniques (e.g., dimensional model, 3NF, Vault 2.0). Experience with analytical and real-time/streaming data solutions. Hands-on experience with data modeling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner). Knowledge More ❯

looking for: Strong commercial experience in BI/Data Warehousing Proven expertise with Power BI and SQL (DAX, T-SQL) Experience with cloud platforms (ideally Azure) Solid understanding of dimensional modelling and ETL processes Excellent communication and stakeholder management skills 💼 Why this role? Outside IR35 – keep more of your day rate Hybrid flexibility with a vibrant central London More ❯

looking for: Strong commercial experience in BI/Data Warehousing Proven expertise with Power BI and SQL (DAX, T-SQL) Experience with cloud platforms (ideally Azure) Solid understanding of dimensional modelling and ETL processes Excellent communication and stakeholder management skills 💼 Why this role? Outside IR35 – keep more of your day rate Hybrid flexibility with a vibrant central London More ❯

well documented and thoroughly tested Collaborating with analytics and data scientists to understand their needs and build models that drive insights and decision making Champion best practices for data modelling, transformation, and governance, in your immediate time and across the business Consult on our evolving data platform, advising on the tooling, infrastructure and practices needed to enable best-in … SQL skills, with experience writing efficient and well structured queries Hands on experience with DBT, building and maintaining modular, scalable data models that follow best practices Strong understanding of dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift More ❯

transformation logic, and uploading data in target tables. You would be responsible for designing, testing, and troubleshooting the company's data storage system before it goes live. Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts Define scope, execution plans, and coordinate test activities Ensure all sign-offs on deliverables (overall test strategy More ❯

transformation logic, and uploading data in target tables. You would be responsible for designing, testing, and troubleshooting the company's data storage system before it goes live. Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts Define scope, execution plans, and coordinate test activities Ensure all sign-offs on deliverables (overall test strategy More ❯

of Business Objects and/or QlikView. Understanding of insurance products/concepts. Knowledge of agile methodologies and Rally application. Experience with Entity Relationship Diagrams, Data flow diagrams, and Dimensional modelling. Knowledge of Exploratory data analysis techniques. Experience with Quality Center. Understanding of basic principles and terminology to solve simple problems. Intermediate analytic, diagnostic, interpersonal, and communication skills. Ability More ❯

with the potential for extension. This role offers a hybrid working arrangement, requiring 1-2 days per week onsite at Heathrow, Hounslow, with on-site parking available. Responsibilities: Data Modelling: Design and optimize star schema data models tailored to our client's business needs for streamlined analytics and reporting. Collaboration: Work closely with data architects, BI developers, and business … with business goals. Data Quality & Governance: Establish data quality checks and governance practices to ensure accuracy and integrity within data models. Skills/Must have: Proven experience in data modelling using Kimball methodology, with a focus on dimensional modelling and star schemas. Strong proficiency in SQL and experience with data modelling tools like ER Studio, Power More ❯

as a Data Architect with knowledge of end-to-end Data Architecture Demonstrable experience in defining and building BI/Data Warehouse Logical and Physical models, including normalised and dimensional models, as well as Data Lake architectures. Knowledge of Conceptual, Logical, and Physical Data Models Confident with mapping data from source to target. Ability to define and build Data … Migration architectures Expertise in a minimum of one data modelling tool (Erwin and/or IBM Rational System Architect) Understanding of Oracle and SQL Server. Experience in at least one of Azure, AWS, or Google architectures. Availability to start in January 2025 Nice to have: Confident in ETL and Business Intelligence tools. Proficiency in Azure Databricks. More ❯

involves building strong relationships across the business to support existing systems and contribute to future upgrades and system improvements. Key Responsibilities: Design, develop, and test data warehouse (Star schema dimensional model), reporting, and dashboard solutions (SSRS/Power BI). Create, maintain, and enhance data integrations (IntApp Integrate/SSIS). Analyse database data to identify and fix integrity More ❯

involves building strong relationships across the business to support existing systems and contribute to future upgrades and system improvements. Key Responsibilities: Design, develop, and test data warehouse (Star schema dimensional model), reporting, and dashboard solutions (SSRS/Power BI). Create, maintain, and enhance data integrations (IntApp Integrate/SSIS). Analyse database data to identify and fix integrity More ❯

Job Description AWS Stack, data being landed in S3, Lambda triggers, Data Quality, data written back out to AWS S3(Parquet Formats), Snowflake for dimensional model. Design and build the data pipelines, work with someone around understanding data transformation, this is supported by BA's, building out the data pipelines, moving into layers in the data architecture (Medallion architecture More ❯

distributed teams. Looking for someone with over 8 years of experience within this domain, ideally in Oil and Gas. Responsibilities: Requirements capture & assessment Conceptual/logical/physical data modelling/dimensional modelling Data integration & flow design SOA architecture & principles Query & database performance tuning - ETL Cloud computing Globally-distributed database replication/synchronization patterns Technical skills needed More ❯