26 to 50 of 87 Dimensional Modelling Jobs in England

of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience More ❯

Azure T-SQL Development (MS SQL Server 2005 onwards) Python, PySpark Experience of the following systems would also be advantageous: Azure DevOps MDS Kimball Dimensional Modelling Methodology Power Bi Unity Catalogue Microsoft Fabric Experience of the following business areas would be advantageous: Insurance sector (Lloyds Syndicate, Underwriting, Broking More ❯

private equity, private credit, and real estate data-including metrics, KPIs, and market trends. Background in data modeling and data management best practices (e.g., dimensional modeling, data governance, metadata management). Ability to provide insights on complex financial data sets and collaborate with relevant stakeholders. WHAT WE OFFER: We More ❯

SSIS, SSAS, SSRS) to high level of proficiency - Essential C# Programming/JavaScript programming - Desirable Knowledge and Skills Software analysis and design good practice Dimensional modelling, Entity Relationship modelling, Normalised modelling. Data warehouse design concepts, (Inmon, Kimball) The position is based in Central and you will be More ❯

SSIS, SSAS, SSRS) to high level of proficiency - Essential C# Programming/JavaScript programming - Desirable Knowledge and Skills Software analysis and design good practice Dimensional modelling, Entity Relationship modelling, Normalised modelling. Data warehouse design concepts, (Inmon, Kimball) The position is based in Central and you will be More ❯

relationships with key data creators, data owners and data consumers. Ensure data assets are properly defined and maintained within a central data catalogue. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Take ownership of data issues through to … easily understood and used. Locate and define new data-related process improvement opportunities. Skills and Experience: Essential: • Experience managing/leading a team. • Data modelling, cleansing and enrichment, with experience in conceptual, logical, and physical data modelling. • Familiarity with data warehouses and analytical data structures. • Experience of data quality … software. • Knowledge of Orchestration Tools and processes (e.g SSIS, Data Factory, Alteryx) • Power BI Development including the data model, DAX, and visualizations. • Relational and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake More ❯

Synapse, Data Lakes, etc.). Experience with CI/CD pipelines for release management. Knowledge of best practices in data ingestion, transformation, and curation (Dimensional modeling & Medallion schema). Insurance Industry experience. Fabric experience. Purview experience. Power BI experience. If this role is of interest to you or you More ❯

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 More ❯

skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in database design and architecture principles, e.g. dimensional modelling and strong SQL ability Some understanding or interest in programming languages such as Python. Exposure to working with CRM/ERP systems. More ❯

skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in database design and architecture principles, e.g. dimensional modelling and strong SQL ability Some understanding or interest in programming languages such as Python. Exposure to working with CRM/ERP systems. More ❯

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 More ❯

relationships with key data creators, data owners and data consumers. Ensure data assets are properly defined and maintained within a central data catalogue. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Take ownership of data issues through to … easily understood and used. Locate and define new data-related process improvement opportunities. Skills and Experience: Essential: • Experience managing/leading a team. • Data modelling, cleansing and enrichment, with experience in conceptual, logical, and physical data modelling. • Familiarity with data warehouses and analytical data structures. • Experience of data quality … Knowledge of Orchestration Tools and processes (e.g SSIS, Data Factory, Alteryx). • Power BI Development including the data model, DAX, and visualizations. • Relational and Dimensional (Kimball) data modelling. • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL). Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake More ❯

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 … 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 More ❯

setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of dimensional modelling (Kimball methodology). Hands-on experience with Power BI for enterprise reporting. What’s in it for you as their BI Engineer More ❯

setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of dimensional modelling (Kimball methodology). Hands-on experience with Power BI for enterprise reporting. What’s in it for you as their BI Engineer More ❯

setting or equivalent tools (Informatica, SSIS). Solid SQL development and performance tuning capabilities. Exposure to web APIs and Python (desirable). Understanding of dimensional modelling (Kimball methodology). Hands-on experience with Power BI for enterprise reporting. What’s in it for you as their BI Engineer More ❯

on at least two Azure implementations Experience with Databricks architecture and development on Azure and AWS platforms Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh Understanding of data management and governance concepts such as data quality, metadata management, etc. Experience in designing data More ❯

concepts. Knowledge of agile methodologies and use of the Rally application. Working knowledge of creation of Entity Relationship Diagrams and Data flow diagrams and Dimensional modelling. Working knowledge of Exploratory data analysis techniques. Working knowledge of Quality Center. Working knowledge: understands basic principles and terminology in order to understand More ❯

2+ years of experience in PySpark. Knowledge of GCP Kubernetes would be an advantage. Knowledge of data warehousing concepts with a good understanding of dimensional models. Experience in implementing a metadata framework for data ingestion, data quality, and ETL. Good communication skills and ability to manage IT stakeholders. More ❯

Facts and Dimensions and accurate end user reports. Hands on and technical understanding of complex Data Warehousing, including Data Warehouse design; Star schema and dimensional modelling Proficient with using OAS (or similar reporting tools) and validating subject areas and reports. Experience of working with and using ETL tools More ❯

Modelling & Storage Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation Docker, Kubernetes, Terraform, CI/CD pipelines for data flows. Architectural Competencies Data Modelling: Designing dimensional, relational, and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL More ❯

of translating sophisticated business challenges into effective solution designs for clients. Your Impact Convert existing solutions, spreadsheets, and business problems into advanced Anaplan multi-dimensional models. Adjust existing models to optimize or incorporate new functionality as part of a connected solution. Act as the architectural SME for large-scale More ❯

experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. Strong understanding and or use More ❯

designs. Ensure alignment of low-level designs with application architecture, high-level designs, and AA Standards, Frameworks, and Policies. Analyse data sets to identify modelling logic and key attributes required for low-level design, and create and maintain appropriate documentation. Develop and update Physical Data Models (PDMS) and participate … with data warehouse and business intelligence, including delivering low-level ETL design and physical data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data More ❯

opportunities to travel if required Required Skills and Experience Educated to degree level Demonstrated analytical and troubleshooting skills A background in financial/multi-dimensional modelling within an FP&A or Analyst team or with a Consulting background desirable High proficiency to understand and interrogate complex business data More ❯