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 ❯
london (city of london), south east england, united kingdom
Information Tech Consultants
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 ❯
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 ❯
london (city of london), south east england, united kingdom
Mackenzie Jones
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 ❯
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 ❯
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 ❯
Central London / West End, 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 ❯
