1 to 25 of 29 Remote/Hybrid Dimensional Modelling Jobs in the UK

holder will play a leading role in the design, development, and optimisation of high-quality Power BI data models. A strong understanding of data modelling, particularly dimensional modelling principles, is essential, as these models will underpin analytical reporting and the ongoing development of the Trust's data … matching. Main duties of the job Lead the design, development, and optimisation of high-quality Power BI data models, underpinned by robust dimensional modelling principles to support accurate and consistent reporting. Support the development, maintenance, and optimisation of the Trust's data warehouse and associated data platforms, ensuring ...

Engineer, you will be responsible for transforming raw data into well modelled, business ready data marts and semantic layers. You will take ownership of dimensional modelling, dbt transformations, and core metrics that power BI tools used across the business. This role blends hands on technical delivery with technical … managing 2 to 3 Analytics Engineers while working closely with senior data leaders and stakeholders on multi market initiatives. Key Responsibilities • Design and own dimensional data models using Kimball methodology • Build and maintain dbt pipelines from raw to gold layer marts • Define and enforce modelling, testing, and documentation ...

Data Modeller will play a key role in enabling data-driven decision-making while ensuring alignment with industry regulations and standards. Key Responsibilities Data Modelling & Architecture Design, develop, and maintain conceptual, logical, and physical data models supporting insurance systems and analytics platforms. Ensure alignment with Lloyd's market standards … business analysts, actuaries, and IT teams to integrate data from multiple insurance sources including: Policy administration systems Claims platforms Bordereaux submissions Exposure and catastrophe modelling datasets Design and optimise data pipelines and transformation logic to support reporting, analytics, and regulatory submissions. Support the development of scalable data warehousing ...

practices. Key Responsibilities Design, develop, and maintain scalable data pipelines and ELT processes using Snowflake Build and optimize data models (star schema, snowflake schema, dimensional modeling) Implement data ingestion frameworks from structured and unstructured data sources Optimize performance through clustering, partitioning, and query tuning Develop and maintain data quality ...

/Kinesis Experience building data solutions on at least one major cloud platform (AWS, Azure, or GCP). Strong understanding of data warehousing concepts , dimensional modelling, and schema design. Experience working with CI/CD pipelines and Git-based workflows. Familiarity with Infrastructure-as-Code (Terraform, CloudFormation … testing, and observability practices. Desirable Skills Experience supporting Machine Learning pipelines or feature engineering. Knowledge of containerisation (Docker, Kubernetes). Experience with dbt for modelling and transformation. Background in financial services, payments, trading, or other data-rich environments. Experience with real-time analytics and low‐latency data architectures. Personal ...

Google Cloud Platform (GCP) Experience with orchestration tools (e.g., Apache Airflow) Experience with version control (e.g., Git) Solid understanding of data warehousing concepts and dimensional modeling To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group ...

Google Cloud Platform (GCP) Experience with orchestration tools (e.g., Apache Airflow) Experience with version control (e.g., Git) Solid understanding of data warehousing concepts and dimensional modeling To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group ...

queries, joins, aggregations, and optimization. Python proficiency for data manipulation and automation. Power BI or Tableau experience including dashboard development. Data modeling experience including dimensional modeling and star schema. ETL and data transformation experience. Stakeholder management skills. Problem-solving mindset with ability to work independently. Strong attention to detail ...

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 ...

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 ...

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 ...

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 ...

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 ...

responsible AI principles. Expertise in modern data architecture approaches such as lakehouse, distributed data models, ELT/ETL pipelines, master data management, and dimensional modelling. Experience integrating enterprise applications and low-code platforms into broader data strategies. Solid understanding of software delivery practices including DevOps, CI/CD, environment ...

tech stack: data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster), cloud data platforms (e.g. AWS, S3, Glue, Athena, Redshift, Kinesis), data warehouse concepts and dimensional modelling, data streaming tools (e.g. Kafka, Kinesis) You're collaborative with great communication skills What's in it for you: Salary ...

Expertise in generative AI, machine learning, cognitive services and responsible AI practices Deep understanding of modern data architectures including lakehouse, data mesh, MDM and dimensional modelling Knowledge of Dynamics 365 and Power Platform advantageous Experience leading pre-sales engagements and presenting to senior stakeholders What's on Offer ...