51 to 74 of 74 Permanent Dimensional Modelling Jobs

Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob ...

Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob ...

such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches for data and analytics solutions Confident communicator with the ability to work across ...

such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches for data and analytics solutions Confident communicator with the ability to work across ...

such as Data Factory, Synapse and Azure SQL Experience using Databricks and Python in data processing workflows Strong SQL skills and practical knowledge of dimensional modelling and warehouse design Familiarity with CI/CD approaches for data and analytics solutions Confident communicator with the ability to work across ...

Role – Technology Lead Technology – Snowflake, SQL Server, PostgreSQL, Data Warehousing, Data Lake, Medallion, Data Vault, Data Fabric, Semantic modelling Location – London, UK Job Description We are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient … concepts—including Specialized Insurance, London Market, and Regulatory Data—is essential for success in this role. Your role In the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. ...

Role – Technology Lead Technology – Snowflake, SQL Server, PostgreSQL, Data Warehousing, Data Lake, Medallion, Data Vault, Data Fabric, Semantic modelling Location – London, UK Job Description We are seeking an experienced Data Modeler who can analyse and understand the existing customer data and analytics models on SQL Server, and design efficient … concepts—including Specialized Insurance, London Market, and Regulatory Data—is essential for success in this role. Your role In the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. ...

/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/CD best practices Engage with clients to translate business … scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps or GitHub Solid understanding of dimensional modelling and Power BI optimisation Desirable Microsoft Fabric certifications Familiarity with Azure services and Power Platform Experience in consultancy environments and large enterprise ...

/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/CD best practices Engage with clients to translate business … scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps or GitHub Solid understanding of dimensional modelling and Power BI optimisation Desirable Microsoft Fabric certifications Familiarity with Azure services and Power Platform Experience in consultancy environments and large enterprise ...

/Silver/Gold) patterns Build metadata-driven ingestion pipelines and transformation frameworks Develop advanced PySpark/Spark SQL notebooks for data cleansing and modelling Create production-ready semantic models and support BI teams Implement governance, security, and CI/CD best practices Engage with clients to translate business … scale transformations Integration with Dynamics 365, Dataverse, and/or Business Central CI/CD implementation using Azure DevOps or GitHub Solid understanding of dimensional modelling and Power BI optimisation Desirable Microsoft Fabric certifications Familiarity with Azure services and Power Platform Experience in consultancy environments and large enterprise ...

Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power BI, or similar) and how they consume data Experience working with cloud ...

Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power BI, or similar) and how they consume data Experience working with cloud ...

Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power BI, or similar) and how they consume data Experience working with cloud ...

cleansing, error handling, and performance tuning of ETL jobs.Skills:ETL tools (Informatica, Talend, DataStage, SSIS)Strong SQL and PL/SQLData warehousing concepts and dimensional modelingData integration and migrationPerformance tuning and error handlingKnowledge of databases (Oracle, SQL Server, PostgreSQL, Snowflake)Scripting (Python, Shell, Bash)Understanding of cloud ...

practices and standards for data modeling and engineering within the team Support the data engineers during implementation Profil Strong experience in data modeling, including dimensional modeling, normalization/denormalization, and historization strategies Solid understanding of data engineering principles and ability to implement data models in production environments Hands ...

with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Taking ownership of data issues through … Experience Required: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on Risk areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data ...

with the Data Management Team. Analysis of normalised transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Taking ownership of data issues through … Experience Required: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on Risk areas. Data modelling, cleansing and enrichment, with experience in conceptual, logical and physical data modelling and data cleansing and standardisation. Familiarity with Data warehousing and analytical data ...

various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms … operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding ...

Cognos. Proven expertise in developing interactive and dynamic dashboards, reports, and visualizations. Strong understanding of data warehouse concepts and working experience in relational and dimensional modelling is required. Technical depth and ability to rapidly understand and communicate the impact of solutions and technology. Experience collaborating with business representatives ...

database or data platform experience. Experience handling large datasets and complex data pipelines. Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong … programming skills in languages such as Python, Java, or Scala. Knowledge of data warehousing concepts and dimensional modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality ...

database or data platform experience. Experience handling large datasets and complex data pipelines. Experience with big data processing frameworks and technologies. Experience with data modelling and designing efficient data structures. Experience with data integration and ETL (Extract, Transform, Load) processes. Experience in data cleansing, validation, and enrichment processes. Strong … programming skills in languages such as Python, Java, or Scala. Knowledge of data warehousing concepts and dimensional modelling. Understanding of data security, privacy, and compliance requirements Proficiency in data integration and ETL tools Strong analytical skills and the ability to understand complex data structures. Capable of identifying data quality ...

challenging projects that demand innovation, collaboration, and thought leadership. Role – We are looking for an experienced Senior Data Architect to lead data architecture design, modelling, and governance for a large-scale cloud data platform transformation. You will partner with senior stakeholders, drive cloud data strategy, and ensure scalable, secure … cost, compliance). Support Agile delivery teams with design guidance and architecture governance. Identify risks, dependencies, and architectural decisions requiring senior approval. Drive data modelling best practices including Lakehouse, Delta Lake & dimensional modelling. Define standards, patterns, and secure-by-design principles across solutions. Maintain architecture artefacts and ensure ...

projects that demand innovation, collaboration, and thought leadership . Role – We are looking for an experienced Senior Data Architect to lead data architecture design, modelling, and governance for a large-scale cloud data platform transformation. You will partner with senior stakeholders, drive cloud data strategy, and ensure scalable, secure … cost, compliance). Support Agile delivery teams with design guidance and architecture governance. Identify risks, dependencies, and architectural decisions requiring senior approval. Drive data modelling best practices including Lakehouse, Delta Lake & dimensional modelling. Define standards, patterns, and secure-by-design principles across solutions. Maintain architecture artefacts and ensure ...

tasks to be performed by the Selected Candidate: Perform Data profiling on the source systems Design and review star schema dimensional model to support data warehouse and data marts Perform Source to Target Mapping between source system database and data warehouse target database Develop analytics and reports using Tableau … months experience in analytics and operational reporting using Tableau and SQL Server Reporting Services (SSRS 3. 36 months experience in Star Schema/Dimensional Modeling to support data warehouse environments as well as OLTP environments. 4. 48 months experience developing and tuning complex SQL and PL/SQL against ...