15 of 15 Permanent Dimensional Modelling Jobs in London

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 ...

data infrastructure, and ensure the team delivers high-quality, impactful solutions. You'll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement, while also mentoring engineers and shaping engineering best practices. As a lead, you'll partner with our leadership team … start-up environment. Strong expertise in Python and SQL, with deep experience in orchestration frameworks (Dagster, Airflow, Prefect). Advanced knowledge of data modelling and architecture (Kimball dimensional modelling, Data Vault etc). Hands-on experience with dbt, modern data warehouses, and AWS. Demonstrated ability to mentor ...

data infrastructure, and ensure the team delivers high-quality, impactful solutions. You'll work across the full data lifecycle from ingestion and modelling to orchestration, monitoring, and analytics enablement, while also mentoring engineers and shaping engineering best practices. As a lead, you'll partner with our leadership team … start-up environment. Strong expertise in Python and SQL, with deep experience in orchestration frameworks (Dagster, Airflow, Prefect). Advanced knowledge of data modelling and architecture (Kimball dimensional modelling, Data Vault etc). Hands-on experience with dbt, modern data warehouses, and AWS. Demonstrated ability to mentor ...

revenue domains, enabling trusted reporting in tools such as Looker, Power BI, and Tableau. This is a hands on role with real influence over modelling standards, semantic definitions, and how data is consumed across the business. Key responsibilities Data modelling and transformation Design and build Kimball style dimensional … pipelines that are performant, tested, and easy to use Partner with Data Engineers to shape upstream data structures and improve handoffs from ingestion to modelling Implement data quality testing using dbt tests and expectations frameworks Semantic layer and analytics enablement Help define and maintain a consistent semantic layer across ...

Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob ...

Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob ...

such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches for data and analytics solutions Confident communicator with the ability to work across ...

such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches for data and analytics solutions Confident communicator with the ability to work across ...

Role – Technology Lead Technology – Snowflake, SQL Server, PostgreSQL, Data Warehousing, Data Lake, Medallion, Data Vault, Data Fabric, Semantic modelling Location – London, UK Job Description We are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient … concepts—including Specialized Insurance, London Market, and Regulatory Data—is essential for success in this role. Your role In the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. ...

Role – Technology Lead Technology – Snowflake, SQL Server, PostgreSQL, Data Warehousing, Data Lake, Medallion, Data Vault, Data Fabric, Semantic modelling Location – London, UK Job Description We are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient … concepts—including Specialized Insurance, London Market, and Regulatory Data—is essential for success in this role. Your role In the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. ...

Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power BI, or similar) and how they consume data Experience working with cloud ...

Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power BI, or similar) and how they consume data Experience working with cloud ...

Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power BI, or similar) and how they consume data Experience working with cloud ...

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. Taking ownership of data issues through … Experience Required: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on Risk 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 ...

projects that demand innovation, collaboration, and thought leadership . Role – We are looking for an experienced Senior Data Architect to lead data architecture design, modelling, and governance for a large-scale cloud data platform transformation. You will partner with senior stakeholders, drive cloud data strategy, and ensure scalable, secure … cost, compliance). Support Agile delivery teams with design guidance and architecture governance. Identify risks, dependencies, and architectural decisions requiring senior approval. Drive data modelling best practices including Lakehouse, Delta Lake & dimensional modelling. Define standards, patterns, and secure-by-design principles across solutions. Maintain architecture artefacts and ensure ...