26 to 50 of 70 Dimensional Modelling Jobs in the UK

pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine … expertise (T-SQL, PostgreSQL or similar) Python for orchestration and data tooling Experience building ETL/ELT pipelines in cloud environments Strong understanding of dimensional modelling and data architecture principles Experience working with CI/CD pipelines and Git-based workflows Exposure to Azure, AWS or GCP Comfortable ...

well as contribute to architectural direction and best practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data … Skills and Experience Management of technical teams and near shore partners 5+ years hands-on Data Engineering experience Expert-level SQL and advanced data modelling Strong Python Experience with Snowflake and Databricks Cloud experience Experience with orchestration tools (Airflow, Prefect) CI/CD and DataOps experience for data platforms ...

well as contribute to architectural direction and best practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data … Skills and Experience Management of technical teams and near shore partners 5+ years’ hands-on Data Engineering experience Expert-level SQL and advanced data modelling Strong Python Experience with Snowflake and Databricks Cloud experience Experience with orchestration tools (Airflow, Prefect) CI/CD and DataOps experience for data platforms ...

using Snowflake Optimise workflows and integrations using Openflow Develop and maintain ETL and ELT pipelines from Salesforce, relational databases, files, and NoSQL sources Implement dimensional modelling to support data warehousing and BI reporting Build and optimise data pipelines across Azure and AWS Ensure data quality, governance, and security ...

dashboards (DAX, Power Query, RLS, performance). Advanced Excel: advanced formulas, Pivot tables, Power Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly ...

into meaningful insights and recommendations What you'll bring Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using ...

into meaningful insights and recommendations What you'll bring Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using ...

maintain ETL/ELT processes using Power Automate, Fabric Data Factory, or similar tooling Own the end-to-end BI lifecycle — ingestion, transformation, modelling, visualisation, and business adoption Partner closely with commercial teams to deliver insight into pricing, promotions, customer behaviour, margin, and revenue Define, standardise, and monitor KPIs … just contributing to them. Essential experience 5+ years in BI/analytics/BI development, with clear technical ownership Advanced SQL (complex transformations, dimensional modelling, performance tuning) Deep, hands-on Power BI expertise — DAX, data modelling, optimisation, and deployment pipelines Experience working with Microsoft Fabric or comparable ...

such as SQL Server, SSIS, SSRS and SSAS, ensuring that legacy systems and modern cloud components work together effectively. You will define data models, dimensional structures and integration patterns that support operational reporting, dashboards and analytical workloads. You will work closely with business teams to understand data requirements, translate … well systems integrate and how effectively the organisation makes decisions. What you'll need to succeed You bring strong experience in data architecture, data modelling and BI engineering within a medium or large organisation. You have hands-on expertise with SQL Server technologies including SSIS, SSRS and SSAS ...

operational reporting. Key Responsibilities: Build, maintain and optimise scalable, secure and well-governed data pipelines. Develop and maintain data models (Data Vault and Dimensional). Ensure data quality, lineage, governance and security standards are embedded in all pipelines. Troubleshoot and resolve data pipeline issues, performing root cause analysis … distributed environments (DBT, Snowflake, SQL Server Stack; experience with Kafka, MySQL, Azure or AWS is a plus). Strong expertise in Data Vault and Dimensional modelling is essential. Experience embedding data governance, quality, monitoring and alerting into pipelines. Knowledge of Agile delivery and CI/CD principles. Excellent ...

Power BI, Fabric. AI & Machine Learning - generative AI, cognitive services, ML engineering, responsible AI. Modern Data Architecture - lakehouse, data mesh, ELT/ETL, MDM, dimensional modelling. Microsoft Business Applications - Dynamics 365, Power Platform. Delivery & Engineering - DevOps, Agile, CI/CD, governance. ...

patching, security, and performance tuning. Monitor database and warehouse workloads, diagnosing and resolving performance or integrity issues. Ensure strong standards around data quality, governance, modelling, and security across all datasets and warehouse layers. Work closely with business stakeholders to translate requirements into well structured data models and reporting solutions. … preferred). Proficiency in Python for automation, scripting, and data processing. Practical experience with SQL Server Database Administration tasks. Knowledge of data warehouse architecture, dimensional modelling, and ETL frameworks. Experience with SSIS or similar tools for ETL and data movement. Familiarity with reporting tools such as SSRS ...

roadmap, ensuring alignment with business objectives and the BI product strategy Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions Define and document standard business entities, metrics and KPIs to ensure consistency across reporting Work with Group … requirements include: Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern ...

roadmap, ensuring alignment with business objectives and the BI product strategy Establish architectural patterns and frameworks (such as Medallion architecture, data vault or dimensional modelling) for consistent implementation across data solutions Define and document standard business entities, metrics and KPIs to ensure consistency across reporting Work with Group … requirements include: Extensive experience in data architecture, with proven track record of designing and implementing enterprise-scale data solutions Deep expertise xkybehq in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial ...

Requirements • Experience with Databricks, Spark and working knowledge of DBT for data processing and transformation. • Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design. • Hands-on experience building data pipelines using technology such as Azure Data Factory, AWS Glue, GCP Dataflow and Apache Spark ...

ability to translate complex requirements into clear, scalable and well-governed designs. You will be responsible for ensuring data architecture quality across projects, shaping modelling standards and supporting the development of an enterprise-wide data framework. You will collaborate closely with business stakeholders, technical teams and external partners, influencing … data models Strong hands-on experience with Azure Data Factory, Synapse, Data Lake, Azure SQL, Databricks or Fabric Expertise in conceptual and logical data modelling, ideally using UML Deep understanding of Azure-aligned data architectures, including lakehouse and dimensional modelling Ability to design secure Azure data solutions ...

Lead Data Modeller to play a critical role in this strategic transformation. They are looking for an individual with a unique blend of Data Modelling and Data Analysis expertise, supported by a strong foundational understanding of architecture. You’ll be responsible for building and shaping the core data architecture … consumption needs and translate them into high‐quality physical data models. You’ll bring strong knowledge of both AI‐driven data design and traditional modelling semantics, balancing business strategy with technical detail. Responsibilities as a Lead Data Modeller: Design and own the Cross-Group Data Model. ...

experience with complex data transformations Experience with cloud platform - Azure Familiarity with ETL/ELT tools Strong understanding of data warehousing concepts and dimensional modelling Responsibilities Design, develop, and maintain data pipelines and data models in Snowflake Implement ELT/ETL processes using Snowflake and associated tools Optimise ...

Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing , dimensional modelling and both batch and real-time ingestion patterns. Given the scale they operate at, reliability and performance are critical . Experience building ...

Kafka within AWS. Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing, dimensional modelling and both batch and real-time ingestion patterns. Given the scale they operate at, reliability and performance are critical. Experience building robust pipelines ...

. Technical Expertise: Strong expertise in Microsoft Data Platform technologies, including: SQL Server SSIS SSAS SSRS Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. Hands-on experience with data pipelines and integrations (ETL/ELT). Proficiency in data manipulation languages such ...

. Technical Expertise: Strong expertise in Microsoft Data Platform technologies, including: SQL Server SSIS SSAS SSRS Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. Hands-on experience with data pipelines and integrations (ETL/ELT). Proficiency in data manipulation languages such ...

. Technical Expertise: Strong expertise in Microsoft Data Platform technologies, including: SQL Server SSIS SSAS SSRS Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. Hands-on experience with data pipelines and integrations (ETL/ELT). Proficiency in data manipulation languages such ...

. Technical Expertise: Strong expertise in Microsoft Data Platform technologies, including: SQL Server SSIS SSAS SSRS Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. Hands-on experience with data pipelines and integrations (ETL/ELT). Proficiency in data manipulation languages such ...

. Technical Expertise: Strong expertise in Microsoft Data Platform technologies, including: SQL Server SSIS SSAS SSRS Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. Hands-on experience with data pipelines and integrations (ETL/ELT). Proficiency in data manipulation languages such ...