1 to 25 of 43 Dimensional Modelling Jobs

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 ❯

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 ❯

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 ❯

and deploying data pipelines. Familiarity with other Azure data services (e.g., Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks) is preferred. Strong understanding of data warehousing concepts and dimensional modeling. Experience with data quality management and data governance principles. Experience working in a shared service, hybrid environment. Benefits The annual salary range is $85,000 - $101,000 Remote 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 ❯

team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business.What you’ll do:Design and manage scalable cloud data platforms (Databricks on AWS) across development, staging, and production environments, ensuring … reliable performance and cost efficiency.Integrate and model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics.Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment.Ensure security and governance through robust … by contributing to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives.QualificationsWhat we’d love you to bring:Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data modelsProficiency in converting intricate insurance business processes More ❯

experience as a Senior or Lead data engineer Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering … in the office). To apply, press apply now or send your CV to Keywords: Lead Data Engineer/Azure Databricks/AWS/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you More ❯

as a Tableau developer, with a solid track record in delivering complex solutions. They will be proficient in desktop and cloud, with expert level experience in calculated metrics, data modelling, and optimising reports. You will · Lead the design and development of visualisation dashboards that meet complex data requirements and present information in a clear and concise manner · Drive data … design with business users Ability to perform data blending, data aggregation and complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares More ❯

knowledge base Developing Business Intelligence Solutions by creating Dashboards and Reports Experience in the following areas: Data Migration from various systems to SQL Server Database Building Data Marts using dimensional models is a plus Oracle PL/SQL Maintaining code/scripts in TFS for multiple environments DBA activities like database backup and restore Strong analytical ability/problem More ❯

as a lead data engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering … week in the office). To apply, press apply now or send your CV to Keywords: Head of Data Engineering/Azure Databricks/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you More ❯

that is also in the tech stack: data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster), cloud data platforms (e.g. AWS, S3, Glue, Athena, Redshift, Kinesis), data warehouse concepts and dimensional modelling, data streaming tools (e.g. Kafka, Kinesis) You're collaborative with great communication skills What's in it for you: Salary to £50k Remote working (including abroad) Paid More ❯