18 of 18 Remote/Hybrid Dimensional Modelling Jobs in the UK

from SSRS into Snowflake Assess and rationalise existing reports (remove duplication, improve logic, simplify where possible) Redesign reporting structures to align with modern data modelling principles Define and Implement Best Practice Establish scalable standards for: Data modelling (e.g. dimensional modelling, layered architecture) Transformation workflows (ELT patterns … experience working with Snowflake (or similar cloud data warehouse) Experience migrating from legacy BI/reporting tools (e.g. SSRS, Cognos, Business Objects) Strong data modelling experience (dimensional modelling, star schemas, etc.) Experience building transformation layers in ELT environments Track record of delivering in hands-on roles ...

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

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 ...

advanced analytics or ML use cases where relevant. About You We are looking for a rigorous data engineer with strong experience in integration, modelling and delivering reliable, well-documented data solutions. You should be confident moving data from operational systems into governed analytical environments, with strong attention to quality … Fabric skills and proven experience building robust automated data pipelines. Experience with lake, lakehouse, warehouse or similar analytical platforms. Strong grasp of data modelling, quality, documentation, lineage and governance. Understanding of secure data access, GDPR and privacy-preserving methods. Ability to create trusted data assets for reporting, analytics ...

move and expose data safely and reliably. Agile ways of working with Jira/Confluence; clear stakeholder communication and concise technical documentation. Data warehousing & modelling (e.g., Redshift; dimensional modelling). Basic Power BI familiarity to partner with BI developers and validate end-to-end data flows. ...

Scala for data processing and automation. Experience with BI and visualisation tools such as Power BI, Tableau, or Looker. Understanding of data warehousing concepts, dimensional modelling, and modern data architecture. Experience integrating APIs and third-party SaaS platforms. Must have excellent stakeholder management and communication skills, with ...

frameworks using Spark and Python or SQL-based pipelines. Optimise query performance across large datasets, improving efficiency and cost control. Define and manage data modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain … legacy data systems into scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control ...

frameworks using Spark and Python or SQL-based pipelines. Optimise query performance across large datasets, improving efficiency and cost control. Define and manage data modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain … legacy data systems into scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control ...

frameworks using Spark and Python or SQL-based pipelines. Optimise query performance across large datasets, improving efficiency and cost control. Define and manage data modelling standards, including dimensional modelling approaches. Develop CI and CD pipelines to enable reliable deployment and testing of data products. Create and maintain … legacy data systems into scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control ...

assets to deliver high-performing, low-latency analytics at scale. Provide technical guidance through code reviews and mentorship, raising standards across data modelling and visualisation. Your Skills and Experience Strong commercial experience in BI engineering, analytics engineering, or data engineering within a modern data stack. Advanced SQL capability, including … complex transformations, window functions, and performance optimisation. Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery. Deep understanding of dimensional modelling techniques and tools such as dbt. Hands-on expertise with enterprise BI platforms, such as Power BI, Looker or Omni. Ability to communicate ...

reporting layer within the data warehouse using SQL Create and maintain reporting tables and views Work closely with data engineers to ensure outputs follow dimensional modelling best practices Investigate and resolve data quality issues, ensuring outputs reconcile with source systems Improve performance across both SQL queries and Power … Service, including publishing, workspace management, and scheduled refreshes Advanced T-SQL skills, including views, stored procedures, CTEs, and window functions Solid understanding of data modelling concepts such as fact and dimension tables, and star schemas Desirable Experience Experience with Azure Synapse or similar cloud data platforms Knowledge of Power ...

requirements Deliver insights through reports and visualisations Translate business needs into technical solutions Maintain and enhance data platforms and analytics systems Build and manage dimensional data models Conduct testing, troubleshooting and performance tuning Evaluate and improve existing BI systems Collaborate with technical teams to integrate systems Create and maintain … also required. What you'll need to succeed Essential Skills & Experience Proven experience in a data-focused role Strong background in data warehousing and dimensional modelling Understanding of database management systems, OLAP and ETL frameworks Experience with cloud data platforms (ideally Microsoft Fabric) Familiarity with Power ...

stakeholders across finance, operations and commercial teams. Roles & Responsibilities Define the technology stack and architecture for the organisation's enterprise data warehouse Establish data modelling standards, semantic layers and reusable datasets Oversee ETL pipelines across ERP, CRM and operational systems Implement data quality, governance and DataOps best practices Lead … technical authority across the data estate Requirements Experience with modern data warehouse tooling; Snowflake, Synapse, Fabric or similar Strong SQL and dimensional modelling expertise Experience designing scalable ETL/ELT pipelines Experience working with ERP and financial data environments Experience leading distributed, offshore or third-party delivery teams ...

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 … industry. Strong development expertise in: .NET .NET Core Python Deep 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 ...

looking for Essential skills and experience Strong, hands-on experience with Power BI development Advanced capability in DAX, Power Query and data modelling Proven experience delivering BI solutions within a structured IT environment Strong SQL skills Solid understanding of data warehousing and dimensional modelling Additional strengths Excellent ...

Proficiency in Azure Data Factory and DBT, with a demonstrated ability to build scalable and reliable data pipelines and transformation processes. Familiarity with data modelling concepts and techniques, including dimensional modelling. Strong problem-solving and analytical skills, with the ability to analyse complex data-related issues and provide ...

join a newly established BI team with a strong mandate to transform how data is modelled, governed, and consumed. Working across both data modelling and reporting layers, you'll help build robust data foundations that support executive decision-making. This role combines data engineering, data modelling, and reporting …/Data role Strong SQL skills and experience working with large datasets Hands-on experience with Python and Spark Experience designing dimensional models Experience with BI tools, Tableau or Power BI Understanding of data warehousing concepts Strong stakeholder engagement and communication skills What's on Offer Opportunity to shape ...

UK. This is a senior role for someone who brings a strong breadth of data architecture capability — from enterprise data strategy and data modelling through to data governance and platform design — and who can operate effectively across both business and technical domains. The successful candidate will have a solid … risks, technical debt, and opportunities for improvement .Produce clear, well-structured architecture artefacts: ERDs, data flow diagrams, data dictionaries, and architecture decision records .Data Modelling & Data Desig nDesign and govern complex relational data models — both normalised and denormalised — appropriate to the workload and performance requirements .Develop dimensional models ...