1 to 25 of 96 Dimensional Modelling Jobs

Spark, Kafka, Flink, Beam or equivalent.Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms.Strong understanding of analytical data modelling, dimensional modelling, semantic modelling and data product design.Experience designing data structures and models that support reporting, self-service analytics, machine learning ...

analytics platform. This is a hands‐on, high‐impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well‐governed data products.You will work within the PlayStation Partners Platform, delivering … decision‐making, improve operational efficiency, and uncover revenue opportunities. In this role, you will help shape how analytics is delivered across the organisation, from modelling standards and dbt best practices to the creation of trusted, decision‐ready datasets.What You Will Be DoingAnalytics Engineering and Data ModellingDesign, build, and maintain ...

scale. You will have strong experience in data architecture, ETL development, and modern data warehousing practices, including the application of Kimball methodology and dimensional modelling, alongside a proven track record of building reliable, high-performance data solutions in a business-focused environment. This is a newly created role … transformation logic in a data warehousing environment. Experience designing and maintaining ETL pipelines and data integration processes. Strong experience of Kimball data modelling techniques (e.g. star schema, dimensional modelling). Experience working within a Microsoft data stack (e.g. SQL Server, Azure Data Factory, Azure Synapse, Microsoft Fabric ...

confident business decisions through trusted data. Whilst this is a leadership role, we expect the successful candidate to remain technically involved in architecture, data modelling and implementation. Key Responsibilities Enterprise Data Strategy Develop and own the company's enterprise data strategy, ensuring data is treated as a strategic business … warehouse supports accurate reconciliation between systems. Enterprise Data Warehouse Own the design and continual evolution of the company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business ...

Storage, Pub/Sub, Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs … Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling. A solid understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring, with a focus on building solutions that are scalable and maintainable. Experience designing ...

DATA MODELLER LONDON/HYBRID UP TO £65,000 This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best … across the organisation. ROLES AND RESPONSIBILITIES: The Data Modeller will: Design and develop conceptual, logical and physical data models for enterprise data platforms Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases Collaborate with data engineers, analysts and governance teams to ensure ...

behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting … will include: Setting and personally delivering target architecture for the ECP data estate the data warehouse, data hub, data lake, raw/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell ...

platforms to GCP Hands-on experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, Cloud Functions and Cloud Run Strong SQL, data modelling, dimensional modelling and ETL/ELT experience Experience with Terraform, CI/CD, Git and DevOps practices Strong knowledge of IAM, security ...

report development, dashboard design and DAX. PL-300 certification (or equivalent Microsoft Power BI certification). Strong understanding of semantic models, tabular models and dimensional modelling (star schema). Solid SQL skills for data exploration, validation and analysis. Experience delivering reporting solutions for operational, commercial and executive audiences. … report development, dashboard design and DAX. PL-300 certification (or equivalent Microsoft Power BI certification). Strong understanding of semantic models, tabular models and dimensional modelling (star schema). Solid SQL skills for data exploration, validation and analysis. Experience delivering reporting solutions for operational, commercial and executive audiences. ...

preferably Databricks Experience designing scalable data pipelines for machine learning workloads Experience implementing orchestration tools such as Apache Airflow or equivalent. Knowledge of data modelling, dimensional modelling and data warehousing principles Whether you're developing new products, building scalable platforms or unlocking insights from data ...

Skills Software analysis and design good practice -- essential Second-line and Third-line Application Support -- essential Effective problem solving - essential Critical thinking - essential Dimensional modelling, Entity Relationship modelling, Normalised modelling – desirable Data warehouse design concepts, (Inmon, Kimball) -– desirable To apply for this role please submit your ...

development including query development and optimisation, stored procedures, and performance tuningExpert knowledge of end-to-end enterprise BI using Power BI including semantic modelling, DAX, Power Query, data visualisation best practice, report development, and performance optimisationAdvanced data modelling including dimensional modelling, star schema design, database layers ...

development including query development and optimisation, stored procedures, and performance tuningExpert knowledge of end-to-end enterprise BI using Power BI including semantic modelling, DAX, Power Query, data visualisation best practice, report development, and performance optimisationAdvanced data modelling including dimensional modelling, star schema design, database layers ...

frameworks and integration patterns Shape architecture decisions across technologies including Microsoft Fabric, Azure Databricks, Azure Synapse Analytics and Azure Data Factory Define data modelling strategies, including dimensional modelling, enterprise data models and lakehouse patterns Establish architectural standards around data governance, security, metadata, lineage and data quality ...

term service stability.As a Senior Analytics Engineer, you'll sit at the intersection of our Data Engineering, Product, and BI teams, expanding our data modelling and self-serve capabilities, and building the foundations that turn data from a support function into a strategic asset.Challenges you'll solve...You will … evolve the presentation layer of our Snowflake data warehouse, modelling complex healthcare and health tech domains end-to-end using dbt.You will design and build high-impact data models using advanced methodologies — translating real-world operational domains into scalable analytics blueprints that teams can trust.You will partner closely with ...

their extensibility models.Understanding of vector databases, RAG architectures, and embedding-based retrieval.Experience with containerisation (Docker) and/or CI/CD pipelines.Exposure to data modelling (including dimensional modelling) and/or metadata management.Why Fitch At Fitch Group, the combined power of our global perspectives is what differentiates ...

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 ...

conducting rigorous code reviews. Proven experience designing and building complex, scalable data pipelines using both batch and streaming/event driven patterns. Strong data modelling skills: dimensional modelling, data vault, or equivalent, with a track record of building well structured, reusable BigQuery data models. Experience with Dataform ...

Strong understanding of ETL processes and data validation techniques. - Experience with Azure Data Factory, including understanding pipelines, datasets, and data flows. - Knowledge of data modelling and dimensional modelling concepts. - Solid SQL skills, including writing and analysing complex queries. - Experience using Azure DevOps for test and defect management. ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

solutions in classified, DoD, federal government, or other highly regulated environments. •Experience with modern data-platform concepts and technologies, including data lakes, lake houses, dimensional modeling, streaming or event-driven data, distributed processing, or containerized workloads. •Experience implementing data cataloging, lineage, master or reference data, role-based access controls ...

fluently, debug it fast and critically review it - including AI-generated code, with a sharp eye for where it goes subtly wrongProven data modelling ownership - Dimensional modelling, defining grain and shaping the structure of a data domain from the ground up for warehousing and BIDeep, hands ...

assets).Be accountable for the data architecture within the enterprise data platform, ensuring it remains coherent, scalable and aligned to enterprise standards (e.g., data modelling, metadata/lineage, security and governance).Define, embed and govern lakehouse patterns such as medallion architecture (bronze/silver/gold), including ingestion, refinement … capabilities (data quality, master/reference data, analytics and AI enablement), including transitional architectures.Define, embed and govern enterprise standards, patterns and reference architectures (data modelling, data integration, data products, semantic layers and AI data/knowledge patterns) to ensure consistency, interoperability and reuse.Engage key stakeholders (Information Security, Office ...