8 of 8 Remote/Hybrid Dimensional Modelling Jobs in London

dashboards Contribute to long-term AI and data innovation initiatives YOUR SKILLS AND EXPERIENCE: 6+ years' experience in data engineering Strong expertise in data modelling (dimensional modelling and semantic layer design) Hands-on experience with Microsoft Fabric and/or Azure data services Proven ...

batch processing Desirable Skills Working knowledge of SAS (especially in ETL context) Experience in migrating SAS workloads to Informatica ETLs Familiarity with data modelling (dimensional modelling/star schema) Exposure to scheduling tools (e.g., Control-M, Autosys) Understanding of data governance and data quality frameworks ...

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

batch and near-real-time data processing. Experience with data formats such as Parquet, Avro, ORC, JSON, and CSV. Good understanding of data modelling, data warehousing, and dimensional modelling concepts. Experience with data validation, reconciliation, data quality, audit, and logging frameworks. Experience with Git-based version control ...

Lead Data Business Analyst (Data Warehouse & Data Modelling) Our London based client is currently looking for a Lead Data Business Analyst to act as the bridge between business stakeholders and technical data teams to define, document, and validate requirements for their enterprise data warehouse. The Data Business Analyst will … requirements, including source‐to‐target mappings and logical, conceptual, and physical data models. Collaborate with data architects and data engineers to design and enhance dimensional data models, including fact and dimension tables using star and snowflake schemas. Produce and maintain data warehouse documentation, including entity relationship diagrams (ERDs), data ...

+ benefits This is a rare opportunity to join an organisation undertaking a major data and digital transformation, with a clear path from data modelling into data architecture. You will step into a role designed for long-term growth, working closely with senior architects and influencing how data … support key business initiatives Contribute to the design and evolution of data architecture standards and best practices Work across multiple projects, ensuring consistency in modelling approaches and data structures Collaborate with data engineers, analysts, and governance teams to deliver high-quality data solutions Support the transition towards modern, cloud ...

data models across policy lifecycle, underwriting, pricing, claims, reinsurance, and delegated authority domains. Develop and govern Canonical Data Models, Data Vault (RDV & BDV), and Dimensional models, selecting the right approach based on integration, auditability, and analytics needs. Model data for modern cloud platforms aligned with Medallion Architecture (Silver, Gold … Semantic layers). Translate complex London Market business rules into reusable, well‐defined data assets. Lead data modelling workshops and collaborate with underwriting, claims, finance, actuarial, and operations teams. Engage senior stakeholders to validate assumptions, standards, and design decisions. Embed data quality, reconciliation, lineage, and audit considerations into models. ...

Define and implement robust application architectures aligned to business, security and operational requirements. Design modern data platforms including relational databases, NoSQL/document stores, dimensional models, data lakes and streaming architectures. Translate business requirements into end-to-end technical solutions spanning applications, data and infrastructure. Provide expertise across cloud … development expertise in: .NET .NET Core ReactJS Some Python Understanding Understanding of modern data architectures and technologies, including: Relational databases NoSQL/document databases Dimensional modelling and star schemas Data lakes Event-driven and streaming data platforms Experience designing and deploying solutions across both cloud and on-premises ...