21 of 21 Star Schema Jobs in the Midlands

provide technical leadership across transformation programmes: Architecture & Design: Design enterprise data architectures for Snowflake and Azure cloud ecosystems Create dimensional data models (star schema, snowflake schema, Data Vault) supporting analytics and BI Define data strategy and governance frameworks – lineage, cataloging, security, compliance Lead solution design … design authority for data solutions Mentor engineers on best practices in data modeling, performance optimization, and cloud architecture ESSENTIAL SKILLS: Data Modeling expertise - Star schema, dimensional modeling, Data Vault, logical/physical design Snowflake Cloud Data Platform - Architecture design, performance tuning, cost optimization, governance Azure Data Factory - Pipeline ...

Delta operations) SQL (advanced querying, performance tuning) Data Lake/Warehouse best practices Secondary Skills (Nice-to-Have): Python (for scripting & automation) Data Modelling (star schema, Kimball, Data Vault) Data Quality/Validation frameworks ETL/ELT pipelines Work Arrangement: Hybrid (3 days in office – ideally Tues-Thurs ...

Delta operations) SQL (advanced querying, performance tuning) Data Lake/Warehouse best practices Secondary Skills (Nice-to-Have): Python (for scripting & automation) Data Modelling (star schema, Kimball, Data Vault) Data Quality/Validation frameworks ETL/ELT pipelines Work Arrangement: Hybrid (3 days in office – ideally Tues-Thurs ...

Delta operations) SQL (advanced querying, performance tuning) Data Lake/Warehouse best practices Secondary Skills (Nice-to-Have): Python (for scripting & automation) Data Modelling (star schema, Kimball, Data Vault) Data Quality/Validation frameworks ETL/ELT pipelines Work Arrangement: Hybrid (3 days in office – ideally Tues-Thurs ...

Delta operations) SQL (advanced querying, performance tuning) Data Lake/Warehouse best practices Secondary Skills (Nice-to-Have): Python (for scripting & automation) Data Modelling (star schema, Kimball, Data Vault) Data Quality/Validation frameworks ETL/ELT pipelines Work Arrangement: Hybrid (3 days in office – ideally Tues-Thurs ...

Delta operations) SQL (advanced querying, performance tuning) Data Lake/Warehouse best practices Secondary Skills (Nice-to-Have): Python (for scripting & automation) Data Modelling (star schema, Kimball, Data Vault) Data Quality/Validation frameworks ETL/ELT pipelines Work Arrangement: Hybrid (3 days in office – ideally Tues-Thurs ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

must have: Extensive experience managing and analysing large datasets from multiple sources to support varied reporting and analytics needs. Experience in organising data in STAR schema data models that effectively represent business entities and relationships and support efficient querying and analysis from relational data warehouses. Experience building ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...