1 to 25 of 26 Permanent Star Schema Jobs in England

scalable, future-proof data architectures and 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 for data warehouse, data lake … technical challenges Conduct architecture reviews and 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 architecture, orchestration patterns, best More ❯

responsibilities: Partner with business teams to understand requirements and deliver meaningful, actionable insights. Design and implement data pipelines from APIs and relational sources. Model data effectively using Kimball/Star Schema methodologies. Develop dashboards, reports, and automated integrations in Power BI. Support the onboarding of data from newly acquired businesses. Contribute to data strategy, process improvement, and best … skills and experience: Advanced SQL proficiency (joins, CTEs, window functions). Strong Power BI skills, including semantic modelling, DAX, and report design. Experience building data warehouse solutions (Kimball/Star Schema). Excellent communication and stakeholder engagement skills. Proactive, organised, and adaptable with a genuine team spirit. Desirable: Knowledge of Medallion Architecture and Data Lakehouse concepts. Working knowledge More ❯

Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache More ❯

Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache More ❯

loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Solid understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks (GDPR, HIPAA, ISO 27001, NIST, SOX, PII) and AWS security features (IAM, KMS, RBAC). Knowledge of Azure data More ❯

with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM, KMS, and RBAC implementation. More ❯

proven remediation approaches. Experience working in an Agile delivery environment. Competence in designing and developing data engineering workflows and solutions. Ability to script and implement dimensional data models (e.g., star schemas) with awareness of common modelling pitfalls. Knowledge of OLTP versus OLAP/DWH design considerations. Desirable: Insurance Experience Familiarity with Microsoft Azure security and administrative concepts. More ❯

data streaming Strong proficiency in SQL and Python Familiarity with Azure Data Services and CI/CD pipelines in a DevOps environment Solid understanding of data modelling techniques (e.g., Star Schema) Excellent problem-solving skills and a high attention to detail Desirable: Azure Data Engineer certification Experience working with unstructured data sources (e.g. voice) Exposure to Power BI More ❯

Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes (License review etc). Customer Focused More ❯

Improvement. Technical Skills Required: Azure Data Factory - 4 years’ experience AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes (License review etc). Customer Focused More ❯

Improvement. Technical Skills Required: Azure Data Factory - 4 years’ experience AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes (License review etc). Customer Focused More ❯

experience in Databricks Hands on experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯

Collaborate with stakeholders to understand requirements and deliver practical solutions. Ensure data quality and consistency across reporting pipelines. What We’re Looking For Power BI Expertise: Advanced data modelling (STAR schema, relationships, filter direction). Strong DAX skills for measures and calculations. Experience optimizing performance for large datasets. Excel Mastery: Advanced formulas (SUMIFS, COUNTIFS, text functions). Dashboard More ❯