1 to 25 of 28 Dimensional Modelling Jobs in the UK excluding London

and performance tuning. Solid experience with Python , ideally using PySpark in Azure Databricks . Hands-on experience with Azure Data Lake Storage Gen2 . Understanding of data warehouse concepts , dimensional modelling , and data architecture . Experience working with Delta Lake and large-scale data processing. Experience building ETL pipelines in Azure Data Factory or similar orchestration tools. Familiarity More ❯

experience working with Fabric-based solutions. Azure Ecosystem: At least 2 years of experience delivering business solutions using: Azure Data Factory/Synapse Power BI Azure SQL Server Data Modelling: Strong knowledge of dimensional modelling (Kimball). Familiarity with other techniques such as Data Vault 2.0. Development Experience: Minimum 3 years in database and/or analytics More ❯

design and deliver scalable data products that enable self-service analytics using Snowflake, Power BI, Python, and SQL. What You’ll Do: Build robust ETL/ELT pipelines and dimensional models for analytics Enforce data quality, security, and governance in a Data Mesh setup Enable self-service insights through intuitive data models and training Own data products end-to … continuous improvement Promote innovation and best practices across the organisation What We’re Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised environments Excellent communication and stakeholder engagement skills A proactive, problem More ❯

depth knowledge of Snowflake architecture, features, and best practices. · Experience with CI/CD pipelines using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker More ❯

and emerging technologies. What You’ll Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling expertise for analytics use cases. ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Knowledge More ❯

About the Platform: This greenfield initiative is focused on building a next-gen data ecosystem with a tech stack including: Snowflake for cloud data warehousing dbt for transformation and modelling Azure for cloud infrastructure and orchestration Fivetran for automated data ingestion Power BI and other modern BI tools for reporting and visualisation 🧠 What You’ll Do: Design and implement … BI developers to deliver insightful, high-performance dashboards Work with Data Engineers to optimise data ingestion and orchestration pipelines using Azure Data Factory and Fivetran Apply best practices in dimensional modelling, layered architecture, and data quality ✅ What We’re Looking For: Strong experience in data modelling and SQL Hands-on experience with dbt and cloud data platforms … like Snowflake or Azure Synapse Analytics Solid understanding of modern data stack principles , including layered modelling and data warehouse design Excellent communication skills and the ability to work with stakeholders across technical and non-technical teams Nice to have: Experience with Power BI or similar BI tools Familiarity with CI/CD practices in data environments Exposure to data More ❯

and Dimensions with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self-starter with initiative and enthusiasm More ❯

and Dimensions with accurate end-user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self-starter with initiative and enthusiasm More ❯

capabilities, they are evolving toward a clearer separation between Data Engineering, Analytics Engineering, and Data Product disciplines. This role will sit firmly in the Analytics Engineering function, focused on modelling and building the semantic layer that powers consistent, reliable insights across the company’s BI and data science platforms. This role will focus on the “middle layer", designing dimensional … other downstream consumers. Work closely with Data Engineers responsible for ingestion (from source systems to raw layers such as S3 or cloud storage), but focus your efforts on the modelling and transformation stage. Collaborate with the Data Product team to ensure the semantic layer serves evolving business and analytical needs. Support best practices in CI/CD (using GitHub … maintaining dbt pipelines. Contribute to a common, reusable data model that serves BI, Data Science, and AI/ML teams alike. Required Skills & Experience: Strong experience with SQL and dimensional modelling in dbt. Proven experience building and maintaining semantic layers in modern data platforms. Familiarity with Medallion architecture, CI/CD processes (GitHub), and version-controlled data workflows. More ❯

business applications. Building/optimising data pipelines and integrations across cloud platforms. Strong hands-on SQL development skills including: MS SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers More ❯

developing + maintaining SQL Server database solutions that power core business applications. Strong hands-on SQL Server database development skills including: complex stored procedures T-SQL, indexing, relational/dimensional modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. More ❯

at Landmarc, you'll need a strong foundation in data engineering, with proven experience as a data professional. You should have a solid background in data warehouse design particularly dimensional modelling and be confident working with data mining techniques. A deep understanding of database management systems, OLAP, and ETL frameworks is essential, along with hands-on experience using More ❯

with data extracts, data analysis and data validation as required The role requires: In-depth working knowledge and experience working with relational databases Background in data warehouse design (e.g. dimensional modelling) and data analysis Advanced MS SQL Server skillset (T-SQL, stored procedures, functions, dynamic SQL) Proven experience of developing complex reports using SSRS or closely equivalent tools 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 ❯

SQL environments Work with business and technical teams to gather and document data requirements Design, implement, update, and support data pipelines in Azure Data Factory (ADF) Maintain data warehouse dimensional model and develop data marts Develop standards and processes to optimize cost and service delivery Provide ongoing support, debug issues, and perform root cause analysis Enforce data management governance More ❯

SQL environments Work with business and technical teams to gather and document data requirements Design, implement, update, and support data pipelines in Azure Data Factory (ADF) Maintain data warehouse dimensional model and develop data marts Develop standards and processes to optimize cost and service delivery Provide ongoing support, debug issues, and perform root cause analysis Enforce data management governance More ❯

PowerBI/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 ❯

systems to support changing and evolving business intelligence use cases. Plan, design, implement, update and support data pipelines in ADF. Support the development and maintenance of the data warehouse dimensional model and development of data marts. Ensure the adoption of best practices, develop standards and new processes to optimise cost and service delivery. Provide technical knowledge and expertise on … pipelines. Previous experience in working with data cubes and migrating SSRS reports to PowerBI and tabular model is highly advantageous. Experience with business and technical requirements analysis, business process modelling/mapping and methodology development, and data mapping. General knowledge of database solutions, application services, data architecture and architecture patterns. Experience of working in a legal or professional services More ❯

Data Factory, Data Lake and SQL. Role & Responsibilities Building end to end data pipelines in Azure (Data Factory and SQL) Building workflows in SQL, Spark and DBT Data and dimensional modelling Skills & Qualifications Azure Data factory, Synapse and SSIS Python/Park/PySpark Ideally Snowflake and DBT More ❯

org level contributions. Rotate around the business to build relationships and act as a multiplier. What we look for in you Understand, assess and effectively apply modern data architectures (dimensional model, data mesh, data lake). Experience in applying and using data observability methods effectively. Experience in modern software development practices (agile, CI/CD, DevOps, infrastructure as code More ❯

You'll have broad career progression opportunities across Group, which includes several high profile household name What you'll bring: Strong Python & TDD skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake More ❯

The position requires at least 2 years of experience using QlikView version 11 or higher, with proven expertise in the following areas: Good knowledge of SQL, relational databases, and Dimensional Modeling Experience working with large data sets and complex data models involving more than 10 tables Integrating data from multiple sources into QlikView Data Models, including social media content … and API extensions Use of complex QlikView functions and developing optimal scripts for solutions Optimizing Dimensional data models for performance Primary Responsibilities: Creating and providing reporting and dashboard applications using QlikView and NPrinting to facilitate better decision-making Collaborating with stakeholders to gather requirements, and translating these into system and functional specifications Creating prototypes and conducting proof of concepts More ❯

The position requires at least 2 years of experience using QlikView version 11 or higher with proven experience in the following areas: Good knowledge of SQL, relational databases, and Dimensional Modeling Working with large data sets & experience with complex data models involving more than 10 tables Integrating data from multiple data sources into a QlikView Data Model, Social Media … content, API extensions, etc. Use of complex QlikView functions and developing optimal scripts for a given solution Optimization of Dimensional data model for performance. Primary Responsibilities Will Include: Using technologies such as QlikView and NPrinting to create and provide the business areas with new reporting and dashboard applications to enable better decision making Working with stakeholders, business users, and More ❯

on SQL experience for basic analysis and investigations. Experience with product management tools such as backlog management, road mapping, and prototyping. Passion for data; knowledge of data warehousing and dimensional modeling is a plus. Required Characteristics Ownership and accountability for tasks, with problem-solving skills. Collaborative mindset to work with stakeholders and development teams. Effective communication with technical and More ❯

A strong understanding of business needs and data maximisation solutions Experience with digital or data initiatives as a Product Owner, managing full lifecycle Familiarity with data architecture, engineering, analytics, modelling, visualisation, and governance Hands-on SQL experience for analysis and investigations Experience with product owner tools: backlog management, road mapping, prototyping Passion for data, with knowledge of warehousing and … dimensional modelling as a plus Required Characteristics Ownership and problem-solving skills Team-oriented, stakeholder and developer collaboration Effective communication with technical and non-technical audiences Quick understanding of client contexts and business expertise If you don't fit all these exactly but are interested, we encourage you to get in touch - we hire people, not just job More ❯