1 to 25 of 49 Dimensional Modelling Jobs

designing, building, and optimising data models and reporting solutions that provide actionable insights to our clients. The successful candidate will be proficient in advanced Power BI development, SQL, and dimensional modelling, with proven experience in integrating datasets across platforms such as Dataverse and Databricks. Key Responsibilities Design, develop, and maintain advanced Power BI reports and dashboards, ensuring efficient … data modelling using DAX and M. Implement and optimise DirectQuery and Import mode solutions for scalable and high-performing reporting. Build robust dimensional models that support time-travel and snapshot reporting for historical trend analysis and regulatory requirements. Develop and optimise SQL queries to support reporting, analysis, and data integration tasks. Integrate and transform datasets from Dataverse and … technical expertise and guidance to colleagues and clients on data visualisation best practices and analytics capabilities. Requirements Technical Skills Expert-level proficiency with Power BI, including DAX, M, advanced modelling techniques, DirectQuery, and Import. Strong SQL skills, with the ability to write complex queries for analysis and integration. Experience in dimensional modelling, including star and snowflake schema More ❯

engineers and driving adoption of DevOps and CI/CD best practices within the data function Contribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platforms Collaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutions Champion … Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions) Managing and querying data lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical More ❯

Azure Data Engineer - £400PD - Remote Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data. Key Responsibilities: Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric. Build efficient … Skills & Experience: Proven experience as a Data Engineer working with Azure. Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage. Excellent SQL and data modelling (star/snowflake, dimensional modelling). Knowledge of Power BI dataflows, DAX, and RLS. Experience with Python, PySpark, or T-SQL for transformations. Understanding of CI/ More ❯

Data Modelling Consultant Location: London (3 days per week onsite) Salary: £50,000 – £65,000 + benefits The Company Join a global management consultancy known for delivering large-scale data and digital transformation projects across financial services, capital markets, and energy. You will be part of a collaborative, fast-growing Data Architecture practice that helps some of the world … with stakeholders to gather and interpret data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2–4 years of experience in data modelling or data architecture Exposure to relational and dimensional modelling (3NF, star, snowflake) Strong SQL and data warehousing knowledge Experience in financial services or consulting is highly desirable Strong communication and stakeholder engagement skills More ❯

data products on which they can add reporting and analytics. The candidate will be required to deliver to all stages of the data engineering process – data ingestion, transformation, data modelling and data warehousing, and build self-service data products. The role is a mix of Azure cloud delivery and on-prem (SQL) development. Ultimately all on-prem will be … and knowledge: Excellent data analysis and exploration using T-SQL Strong SQL programming (stored procedures, functions) Extensive experience with SQL Server and SSIS Knowledge and experience of data warehouse modelling methodologies (Kimball, dimensional modelling, Data Vault 2.0) Experience in Azure – one or more of the following: Data Factory, Databricks, Synapse Analytics, ADLS Gen2 Experience in building robust More ❯

Demonstrated experience in data engineering within the Azure cloud environment. Proficiency with Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, and Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing More ❯

months), ensuring that near-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 wareho using 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 to communicate technical concepts to both technical and non-technical audiences Proven experience in delivery of More ❯

of experience in BI architecture, data engineering, and analytics delivery. Expertise in BI platforms such as Power BI, Tableau, Qlik, Looker, or similar. Strong experience with SQL, data modeling, dimensional modeling, and star/snowflake schemas. Hands-on experience building ETL/ELT solutions using tools like Informatica, Talend, SSIS, Data Factory, or similar. Proficiency in cloud ecosystems (Azure More ❯

Work collaboratively and effectively within in a Data Analytics team to create, inform, and champion data and analytics best practices. About You 3-5 years' experience applying relational data modelling and data warehousing techniques, including the Kimball Methodology or other similar dimensional modelling standards, is essential to the role. Technical experience building and deploying models and reports More ❯

Spotfire Lead Consultant (Spotfire to Power BI Migration) Location: Central London & Remote Type: Contract Spotfire Architect with strong data modelling skills to lead and support the migration of complex Spotfire reports to Power BI. The role requires deep technical expertise in Spotfire s visual and scripting frameworks, alongside the ability to reverse-engineer, redesign and optimize data models for …/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/denormalisation. Hands-on expertise with IronPython scripting, custom expressions, data functions (TERR/Python/R More ❯

Databricks, Hadoop, Oracle, SQL Server, and performance optimisation Data strategies and methodologies such as Data Mesh, Data Vault, Data Fabric, Data Governance, Data Management, Enterprise Architecture Data organisation and modelling concepts and techniques such as Data Lake, Data Warehouse, Medallion architecture, Kimball dimensional modelling, and 3NF database normalisation Infrastructure concepts such as the Cloud Hyperscalers (e.g. AWS … and analytics solutions such as Tableau, Power BI, MicroStrategy, Thoughtspot, SAS, Streamlit, and techniques such as time series analysis, Advanced SQL, and statistical analysis (e.g. Linear regression, variance analysis, modelling, and forecasting) AI/ML fundamental understanding of key concepts such as classification, regression, clustering, dimensionality reduction, Natural Language Processing and Language Models Our ideal candidate helps bring structure More ❯

Commissioner's Office. Skills & Experience A degree in statistics, mathematics or a statistically-related discipline Demonstrate work experience with Microsoft Fabric, Mulesoft, BI Developer or Data Scientist Strong data modelling background with experience working with multiple data sources both cloud and on-premise Industry experience in delivering Power BI/Microsoft Analytics solutions, with a good grounding in all … BI Report Server or Cloud based Service, or similar visualisation experience. Database including MS-SQL, Oracle Database, Data warehousing, SQL and XML. Microsoft Fabric experience R or Python predictive modelling/classification Experience in building dashboards, reports and cubes using SQL, MDX, DAX, Power Query M Code, Power BI or other visualisation tools. Detailed understanding or experience of how … requirements and understand the business on different levels. Experience in developing new or maintaining and improving existing ETL processes. Experience in establishing and maintaining collaborative relationships with stakeholders. Understanding dimensional modelling ideally for Public Sector Good communications, interpersonal and presentation skills in order to influence internal stakeholders. Ability to self-manage and work in a dynamic environment. Experience More ❯

ADF, Azure Data Lake Storage Gen2). Strong SQL skills (T-SQL), with experience in Python/Scala andSpark/PySpark for big-data transformations. Demonstrated experience in data modelling and warehousing (star schema, snowflake, dimensional modelling, medallion architecture). Experience designing and implementing ETL/ELT pipelines using ADF, dataflows, or Synapse pipelines. Knowledge of data More ❯

e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts … delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing … Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation More ❯

e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts … delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing … Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation More ❯

with Data Engineer in the design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks to automate data ingestion, transformation, and processing workflows. DCreate and maintain dimensional data models and semantic layers that support business intelligence and analytics use cases. Build and optimise data transformation workflows using dbt, SQL, and Python to create clean, well-documented … and modern data transformation tools (dbt strongly preferred), with experience in cloud data platforms (Azure Databricks, Snowflake, or similar). Proven experience designing and implementing scalable data architectures, including dimensional modelling, data lakehouse/warehouse concepts, and modern data stack technologies. Strong software engineering practices including version control (Git), CI/CD pipelines, code testing, and infrastructure as More ❯

complex queries, stored procedures, and CTEs, with experience in query optimization, performance tuning, and designing data models for relational databases. Good understanding of relational databases, data warehousing concepts, and dimensional modelling (Kimball or similar). Experience collaborating within agile scrum delivery teams, throughout SDLC and contributing to iterative development cycles. Methodologies. Familiarity with best practices for credential management More ❯

using Azure + Databricks , with Power BI sitting on top of a fully curated Gold Layer. They develop everything using PBIP + Git + Tabular Editor 3 , and semantic modelling is treated as a first-class engineering discipline. This is your chance to own the creation of high-quality datasets and dashboards used across Operations, Finance, Sales, Logistics and … into insights the business relies on every day. Why This Role Exists To turn clean, curated Gold Lakehouse data into trusted, enterprise-grade Power BI insights.You'll own semantic modelling, dataset optimisation, governance and best-practice delivery across a modern BI ecosystem. What You'll Do Semantic Modelling with PBIP + Git Build and maintain enterprise PBIP datasets … fully version-controlled in Git. Use Tabular Editor 3 for DAX, metadata modelling, calc groups and object governance. Manage branching, pull requests and releases via Azure DevOps . Lakehouse-Aligned Reporting (Gold Layer Only) Develop semantic models exclusively on top of curated Gold Databricks tables . Work closely with Data Engineering on schema design and contract-first modelling. Maintain More ❯

using Azure + Databricks , with Power BI sitting on top of a fully curated Gold Layer. They develop everything using PBIP + Git + Tabular Editor 3 , and semantic modelling is treated as a first-class engineering discipline. This is your chance to own the creation of high-quality datasets and dashboards used across Operations, Finance, Sales, Logistics and … insights the business relies on every day. ? Why This Role Exists To turn clean, curated Gold Lakehouse data into trusted, enterprise-grade Power BI insights. You'll own semantic modelling, dataset optimisation, governance and best-practice delivery across a modern BI ecosystem. ? What You'll Do Semantic Modelling with PBIP + Git Build and maintain enterprise PBIP datasets … fully version-controlled in Git. Use Tabular Editor 3 for DAX, metadata modelling, calc groups and object governance. Manage branching, pull requests and releases via Azure DevOps . Lakehouse-Aligned Reporting (Gold Layer Only) Develop semantic models exclusively on top of curated Gold Databricks tables . Work closely with Data Engineering on schema design and contract-first modelling. Maintain More ❯

inflight activities using Microsoft information architecture. Contribute to ERP implementation projects and data migration activities. Ensure data governance and compliance standards are maintained throughout all initiatives. Core Requirements Data Modelling Expertise: Strong experience in developing and maintaining logical and conceptual data models. Microsoft Information Architecture: Solid understanding of Microsoft Purview and related data governance tools ERP Implementation: Hands-on … principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns API Integration: Understanding of REST/SOAP APIs and data service architectures. Data Security: Knowledge of data privacy regulations (GDPR) and security More ❯

in an Agile environment. Expert data reporting and visualisation using Power BI & strong Power Query and DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation More ❯

business requirements into clear, actionable reporting solutions Essential Skills and Experience Strong, proven experience in Power BI development within an Asset Management environment Strong, proven experience in advanced data modelling , DAX , and data transformation Expertise with star schemas , dimensional modelling semantic models , and dataflows Solid understanding of data security, access controls, and distribution practices Experience with data More ❯

business requirements into clear, actionable reporting solutions Essential Skills and Experience Strong, proven experience in Power BI development within an Asset Management environment Strong, proven experience in advanced data modelling , DAX , and data transformation Expertise with star schemas , dimensional modelling semantic models , and dataflows Solid understanding of data security, access controls, and distribution practices Experience with data More ❯

Data Modelling Consultant Location: London (3 days per week onsite) Salary: £50,000 - £65,000 + benefits The Company Join a global management consultancy known for delivering large-scale data and digital transformation projects across financial services, capital markets, and energy. You will be part of a collaborative, fast-growing Data Architecture practice that helps some of the world … with stakeholders to gather and interpret data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2-4 years of experience in data modelling or data architecture Exposure to relational and dimensional modelling (3NF, star, snowflake) Strong SQL and data warehousing knowledge Experience in financial services or consulting is highly desirable Strong communication and stakeholder engagement skills More ❯

pipeline design, development, and optimization SQL, Postgres, data transformation logic Integrations with Coupa, SAP, and enterprise platforms CI/CD (Git, Azure DevOps), Unix/Linux scripting Data warehousing, dimensional modeling, big data processing Preferred Skills: IBM DataStage Power BI, Snowflake, Apache Spark Azure certifications (DP-203 preferred) Experience with REST/SOAP APIs Kindly share the best and More ❯