26 to 50 of 106 Permanent Dimensional Modelling Jobs

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 ...

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 ...

expertise Proven experience designing and implementing data engineering solutions using Microsoft Fabric and Azure . Strong background in ETL/ELT , data warehousing concepts, dimensional modelling and modern data architecture patterns. Hands-on skills across T-SQL , Python , PySpark , and developing robust data processing solutions. Experience optimising performance ...

SaaS platforms, files and other business systems Design and develop scalable ETL and ELT processes using modern data engineering tools and cloud platforms Create dimensional models, semantic layers and reusable datasets that provide consistent business metrics across the organisation Develop efficient SQL and transformation logic to support analytics, reporting … business intelligence requirements Implement automated data quality controls, validation frameworks and monitoring processes Optimise platform performance through effective modelling, query tuning and infrastructure design Manage deployments across environments and support CI/CD and DataOps practices Configure security, governance and access controls to ensure data integrity and compliance Build ...

communication and stakeholder engagement. Key Responsibilities Design, develop and maintain scalable data pipelines using Snowflake and DBT. Build high-quality data models, including dimensional and star schema models. Engineer solutions supporting complex investment and portfolio data. Work with market data platforms and external data feeds. Develop solutions for time … performance optimisation. Skills & Experience Essential Strong commercial experience as a Data Engineer. Expert knowledge of Snowflake . Strong experience with DBT . Data modelling experience, including dimensional modelling and star schemas. Experience working with time-series data. Experience integrating and managing market data feeds or financial datasets. ...

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 ...

performance tuning. Data transformation, enrichment, aggregations, and joins. SQL Advanced SQL skills. Stored procedures, CTEs, window functions, and query optimization. Data warehousing and dimensional modelling concepts. AWS Skills Expected Candidate should have experience with one or more of the following AWS services: Amazon S3 AWS Glue Amazon … Lambda AWS Step Functions Amazon Redshift Amazon Athena Amazon RDS/Aurora AWS IAM AWS KMS Amazon CloudWatch AWS Secrets Manager Data Modelling Skills Star Schema Snowflake Schema Dimensional Modeling Data Vault Data Warehouse Design Data Lake Architecture Data Formats Experience working with: Parquet Avro JSON ...

.* Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity ...

looking for: Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques (e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such ...

technologies.We are looking for:Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutionsProficiency in data modelling techniques (e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skillsExperience with cloud data platforms, particularly AWS, as well as platforms such ...

equally as important as communication and stakeholder engagement.Key ResponsibilitiesDesign, develop and maintain scalable data pipelines using Snowflake and DBT.Build high-quality data models, including dimensional and star schema models.Engineer solutions supporting complex investment and portfolio data.Work with market data platforms and external data feeds.Develop solutions for time-series datasets … development tools.Champion best practice around data quality, governance and performance optimisation.Skills & ExperienceEssentialStrong commercial experience as a Data Engineer.Expert knowledge of Snowflake.Strong experience with DBT.Data modelling experience, including dimensional modelling and star schemas.Experience working with time-series data.Experience integrating and managing market data feeds or financial datasets.Strong ...

Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling, lakehouse patterns, and the governance and operational setup of tools like dbt, and applies data security and GDPR ...

collaborative manner in a large, fast paced environment within a multifunctional technical team Nice to have Languages: PySQL, C#, R Reporting: PowerBI or similar Modelling: SQL Server SSAS Tabular (DAX)/Dimensional Modelling/Data Warehousing Development Management: Azure DevOps SQL MI/DB ETL: Active Batch ...

data pipelines (ingestion transformation reporting) using Azure services Work hands-on with tools including ADF, Synapse, ADLS and Microsoft Fabric Develop and optimise dimensional data models (Kimball/star schema) for analytics and reporting Provide technical guidance and support to BI Developers during delivery (non-managerial) Contribute to Power … Azure Synapse/Azure SQL Azure Data Lake (ADLS) Exposure to Microsoft Fabric (highly desirable) Strong background in data warehousing and BI environments Excellent dimensional modelling (Kimball) experience Experience working closely with BI/reporting teams (Power BI, semantic models, DAX) Confident working across end-to-end data ...

impact the education sector.This role sits within the Data & Insights department.Key ResponsibilitiesAct as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analyticsDesign, develop, and maintain LookML models, including views, explores, and dashboardsBuild scalable and reusable semantic layers to ensure consistency … into robust Looker solutionsDevelop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker modelsOptimise Looker performance through efficient modelling, caching strategies, and query designEnable and promote self-service analytics by creating intuitive dashboards and curated exploresEnforce data governance standards, ensuring accuracy, consistency ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Lakehouse Fabric Warehouse Data Factory Notebooks Power BI Semantic Models Dataflows ✅ Advanced SQL development skills ✅ Python and/or PySpark experience ✅ Strong understanding of dimensional modelling and data warehousing concepts ✅ Experience building enterprise-scale data integration and pipeline solutions ✅ Strong Power BI development expertise, including DAX optimisation ...

implementing solutions on AWS data and analytics platforms.* Proven expertise in data integration and analytics platforms on AWS, with strong understanding of data warehousing, dimensional modelling, and lakehouse/data lake concepts.* Experience with AWS cloud platform, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon ...

Mastery: Deep experience with data orchestration tooling such as dbt or dataform.Platform Specifics: Hands-on experience with Databricks.Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling. Here at Kaluza we have five core values that guide our business: Play to win, Solve the real problem, Build trust every ...

Airflow. Advanced Python and SQL skills with a strong software engineering mindset. Proven experience building complex, scalable batch and event-driven pipelines. Strong data modelling experience, including dimensional modelling, Data Vault or equivalent. Experience with Dataform or similar SQL-based transformation tooling. Understanding of CI/ ...

proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming. Desirable Skills Experience with PySpark or PySQL. Experience in Dimensional Modelling and data warehousing principles. Experience with SQL Server SSAS Tabular and DAX. Exposure to SQL Server RDBMS and Managed Instance. Knowledge ...

proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming. Desirable Skills Experience with PySpark or PySQL. Experience in Dimensional Modelling and data warehousing principles. Experience with SQL Server SSAS Tabular and DAX. Exposure to SQL Server RDBMS and Managed Instance. Knowledge ...