17 of 17 Dimensional Modelling Jobs in London

ingestion frameworks for integrating multiple source systems into the cloud data platform. Design and govern data transformation frameworks using DBT. Define and enforce data modelling standards including dimensional modelling, star schema, and enterprise data models. Lead architecture reviews and solution design discussions for new data initiatives. Optimize … Platform Strong experience with Amazon Web Services, including: S3 IAM AWS Glue Lambda CloudWatch Data Transformation Strong experience with DBT for enterprise-scale data modelling, testing, and transformation pipelines. Programming/Query Strong expertise in SQL for data transformation and performance optimization Python (preferred) for automation and data engineering ...

wealth management firm undergoing a major digital and data transformation . You will take ownership of the data platform architecture, ingestion pipelines, dimensional models, and API layer , delivering a scalable Bronze/Silver/Gold medallion architecture and establishing best practices for data engineering and DevOps. Must Have Azure … Database Azure Data Factory (ADF) Azure Synapse Analytics Azure Functions Data Warehouse Delivery Delivered end-to-end DWH as a lead engineer (source integration dimensional models API layer) Designed and implemented Bronze/Silver/Gold medallion architecture Made architectural decisions and produced Architecture Decision Records (ADRs) Data Engineering ...

OVERVIEW: We are seeking an experienced Data Architect/Data Modeler with strong insurance industry standards knowledge and a solid foundation in modern data modelling practices. The ideal candidate will have hands-on experience with modelling tools, data frameworks, and insurance industry data exchange standards. This role involves … Excel bordereaux templates to support real-time API ingestion from MGA/TPA partner systems and monthly bordereaux submissions Develop data models using Dimensional (Star/Snowflake), Data Vault, and 3NF methodologies. Create and manage metadata and modelling artefacts using Erwin with traceability and governance. Support Medallion Architecture ...

optimisation * Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads * MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call * Containerisation: Docker and Kubernetes-based … deployment of data workloads; reproducible, environment-agnostic data infrastructure * Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis * Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput vs latency trade-offs ...

physical data architecture, cross‐domain integration approaches, data domains/bounded contexts, and the mechanisms for consistent and reusable data. Define and iterate data modelling standards and guardrails (e.g. 3NF, dimensional modelling, Data Vault) including clear decision criteria for when each approach is appropriate and ensure adoption … across internal and partner teams. Own and assure integrated data modelling where required, including canonical entities, conformed dimensions, reference data, master data alignment, and shared business definitions that prevent metric drift and reduce duplication. Drive semantic and metrics architecture, ensuring consistent KPI definitions, metric calculation logic and semantic models ...

Python skills Experience delivering analytics solutions within modern cloud data platforms Experience leading teams across analytics and BI delivery Strong understanding of data modelling, including dimensional modelling Experience delivering enterprise BI and analytics solutions, including dashboards, semantic models and insight storytelling What's on Offer Salary ...

. Experience with Power BI semantic models or Azure Analysis Services/SQL Server Analysis Services (SSAS). Strong data modeling skills (star schema, dimensional modeling). Azure & Data Engineering Experience with: Azure Synapse Analytics Azure Data Factory or similar ETL tools Azure Storage/Data Lake Experience designing ...

logical data models across key investment banking domains (e.g. clients, products, trades, positions, risk, finance, market and collateral data) Ensure models align to agreed modelling standards, naming conventions, and reusable design patterns Translate business requirements into clear, structured data models aligned to authoritative upstream sources Facilitate workshops with SMEs … data teams to validate definitions and resolve data discrepancies Embed modelling standards, metadata, and quality controls in line with enterprise data governance frameworks Operate within a high-throughput, iterative delivery (factory) model, supporting multiple concurrent data products Collaborate closely with architects, governance, engineering, onsite leadership, and offshore teams ...

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 ...

meet audit and regulatory standards.Key ResponsibilitiesBuild and maintain a secure PostgreSQL-based data platformLead the shift away from Databricks and spreadsheet-dependent reportingCreate dimensional data models covering investments, pricing, performance and related domainsDevelop reliable ETL/ELT processes in PythonImplement data quality, reconciliation and validation controlsOptimise database performance … PostgreSQL knowledge, including indexing, optimisation and partitioningBackground in financial or investment data environmentsAdvanced SQL and Python skillsExperience migrating data from platforms like DatabricksConfident with dimensional modelling, star schemas, SCDs etc.Experience within regulated financial servicesDesirableExperience in pensions, asset management or institutional investingUnderstanding of performance measurement and attributionExposure to Airflow ...

implementations Required Skills & Experience 8 - 12 years of experience in data modeling within the Financial Services industry Strong expertise in data modeling techniques (e.g., dimensional modeling, 3NF, Data Vault) Proficiency in SQL and experience with relational and non-relational databases Hands-on experience with data modeling tools (e.g., ERwin ...

requirements into technical BI solutions, including KPIs, metrics, and visual narratives. Ensure reports are intuitive, performant, accessible, and aligned to UX best practices. Data Modelling and Analytics: Develop robust data models using star and snowflake schemas. Write and optimise complex SQL queries, views, and stored procedures. Implement and maintain … best practices. Provide insight and recommendations based on data trends and analysis. About You Strong experience with Power BI (Power Query, DAX, data modelling, visuals). Advanced SQL skills for data transformation and performance optimisation. Hands-on experience with Microsoft SQL Server and/or Azure data services. Experience ...

integration, advanced analytics, and AI driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and leading modelling frameworks, you will guide engineering, analytics, and architecture teams in building secure, scalable, and well governed data structures. This role empowers you to shape … operational needs Translate business requirements into robust data entities, attributes, relationships, and constraints; ensure traceability from requirements to models Establish and enforce GDM modelling standards and naming conventions (e.g., normalization, dimensional/star/snowflake patterns, data vault where appropriate) Design dimensional models (facts, dimensions, hierarchies, slowly ...

four domains (Customers, Applications, Assessments, Cases), aligning with the DSFS data model and existing Netezza structures. Produce the EDW logical and physical data models, dimensional models for the Semantic Layer, and Data Lake zone architecture (Bronze/Silver/Gold). Define Enterprise Semantic Layer design, including pre-computed … aggregations, dimensional models, and Tableau connectivity specifications. Lead source system profiling (D02), producing profile reports for each system in the seven-system scope. Ensure data model designs meet NFRs: 200 concurrent users, 1-hour maximum response time, and 99.5% availability. Provide architectural guidance to the Data Architect and Lakehouse ...

Office) Salary: Up to £90,000 This is an exciting opportunity to join a high-growth consultancy environment where you will shape data modelling standards, influence enterprise-level design, and work directly with senior stakeholders across complex financial services programmes. If you enjoy combining hands-on modelling with … strong footprint across financial services and energy. Their data capability exceeds 300 specialists, and their Data Architecture function is known for delivering high-quality modelling, strategy and metadata solutions across large-scale transformation programmes. They operate in a collaborative, low-ego environment where expertise is valued and career progression ...

model redesign, and production cutover. Expert-Level PySpark & Python Skills. Strong ability to design, optimize, and refactor distributed data processing workflows. Advanced SQL & Data Modelling Expertise. Experience in dimensional modeling, lakehouse architecture patterns, and query optimization. Cloud Platform Experience (Azure preferred). Hands-on experience deploying and managing ...