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 (starschema, 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 ❯
environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (starschema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ More ❯
london (city of london), south east england, united kingdom
Sanderson
environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (starschema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Fuse Group
data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS. Develop Power BI dashboards and paginated reports tailored to business needs. Model complex datasets into actionable insights using star schemas, snowflakes, and denormalised models. Optimise SQL queries and build semantic models within Fabric. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support CI/ More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Fuse Group
data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS. Develop Power BI dashboards and paginated reports tailored to business needs. Model complex datasets into actionable insights using star schemas, snowflakes, and denormalised models. Optimise SQL queries and build semantic models within Fabric. Collaborate with cross-functional teams to translate business requirements into technical solutions. Support CI/ 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 - StarSchema - 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 ❯
Modeling : Deep understanding of data warehousing concepts and best practices. Experience of, and ability to, transform raw transactional data into well-structured analytics-ready datasets using schemas like the starschema (Kimball methodology) Data Quality & Governance : build trust in data by implementing data validation checks, testing frameworks, and clear documentation within your pipelines Experience in the following areas More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Davies Talent Solutions
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 (STARschema, 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 ❯
