10 of 10 Permanent Dimensional Modelling Jobs in the UK excluding London

the mobile/telecoms industry would be a bonus! Key outputs for the role• Design, build, and maintain scalable and trustworthy data models in dbt, making use of Kimball Dimensional and One Big Table (OBT) methodologies.• Translate business requirements from stakeholders into robust, well-documented and tested dbt models.• Develop and own workflows within Google Cloud Platform environments, primarily … and implement robust, well-documented and performant dbt models that serve as a single source of truth for business reporting.• Implement and champion data quality testing, documentation standards, and modelling best practices within dbt projects.• Troubleshoot and resolve any issues or errors in the data pipelines.• Stay updated with the latest cloud technologies and industry best practices to continuously … be expecting to see: • Expert level proficiency in SQL.• Deep, practical experience of building and architecting data models with dbt.• A strong understanding of data warehousing concepts and data modelling techniques (eg, Kimball, Dimensional Modelling, One Big Table).• Solid, hands-on experience within the Google Cloud Platform, especially with BigQuery.• Proven experience working directly with business More ❯

processes and reduce reliance on spreadsheets and legacy tools. Collaborate with stakeholders to define reporting needs, translating complex requirements into actionable technical specifications. Provide expert guidance on data architecture, modelling, and analytics approaches. Contribute to policies on data governance and promote best practices across the organisation. Mentor junior BI developers and train stakeholders in the effective use of BI … skills and experience: Significant expertise in Power BI for data visualisation and reporting. Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server). Strong understanding of dimensional modelling (e.g., Kimball methodology). Proficiency in sourcing, manipulating, and interpreting complex datasets. Strong analytical mindset with excellent attention to detail and accuracy. Experience managing stakeholders, gathering business More ❯

delivering enterprise-level solutions. Essential Skills: 5 years' experience in Data Engineering. Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/DW. Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions. Experience working with structured and unstructured data. Familiarity with cloud and DevOps practices - ie Azure, CI/CD pipelines, scaling, cost More ❯

valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools 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 … to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives. Qualifications What 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 models Proficiency in converting intricate insurance business 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 ❯

at enterprise level or in large-scale delivery. Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be … Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer 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 of unity catalog alongside core More ❯

to deliver scalable, modern data solutions. What You’ll Do Lead the technical design and delivery of the organisation’s analytic data platform Define and own data architecture principles, modelling standards, and governance practices Collaborate with architects, product owners, and external partners to shape scalable data solutions Manage and mentor a high-performing team of Data Engineers Support integration … strategic planning What You’ll Bring Proven experience designing and architecting complex, high-volume data systems Strong hands-on knowledge of cloud platforms (AWS preferred), Snowflake, DBT, and data modelling tools Experience with data integration, ETL, and API-based data exchange Familiarity with Data Vault, dimensional modelling, and master data management Excellent communication skills and ability to More ❯

engagement and communication skills Essential technical skills: SQL, Power BI, Power Automate Preferred experience: A/B testing, Python, Databricks (especially for manager role), ETL/ELT pipelines, data modelling (marts, dimensional models), Git/version control Experience in pricing analytics and Mastercard Test & Learn platform is a bonus Details Start date: ASAP Duration: Approximately 3 months, with More ❯

engineer or in a similar role, handling large datasets and complex data pipelines. Previous experience managing a team Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong programming skills in languages such … as Python, Java, or Scala. Knowledge of data warehousing concepts and dimensional modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality issues, troubleshooting problems, and implementing effective solutions. Disclosure and Barring Service Check This post is More ❯