translation of these requirements into the successful design, build, and implementation of information systems Working knowledge and experience of using staging, integration, presentation and semantic layers in the production of analytics and dashboard creation Technical expertise in all the areas covered by a data management department In depth knowledge more »
West Sussex, England, United Kingdom Hybrid / WFH Options
Eden Smith Group
Maintain effective, and appropriate documentation that brings transparency and understandability to pipelines created and code created. Create high complexity BI solutions including data mart, semanticlayer, and reporting & visualisation solutions in recognised BI tools such as PowerBI. Skills required: Strong experience with SQL server and/or Azure more »
team while continuing to stay hands-on. Responsibilities: Lead on the design, development, and hold accountability for data engineering services, including storage, orchestration, transformation & semantic layers across the banks data warehouse(eos) Line management of internal data engineers and Third Party Consultants Design & build ELT processes, data warehouse architectures more »
Worcester, Worcestershire, United Kingdom Hybrid / WFH Options
Data Careers Ltd
as Business Objects and Power BI. Collaborate with stakeholders to gather requirements and translate business needs into technical specifications. Build and maintain data models, semantic layers, and data visualizations to support analytical processes. Ensure data integrity and quality by implementing data governance best practices. Stay abreast of industry trends more »
PowerBI). Experience with managing internal data engineers and third-party consultants. Lead in designing, developing, and ensuring accountability for data engineering services and semantic layers within their data warehouse. Designed & built relational and dimensional models Successfully led on data engineering activities such as release management, environment controls, CICD more »
City of London, Coleman Street, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
online only) + 20% bonus (discretionary) + Pension Experience required: Extensive knowledge and experience in data warehousing Expertise in physical modelling, ETL, ELT, CDC, semantic layers, rules engines, and reconciliation principles High level knowledge of SQL Proficiency in Python, Snowflake, and AWS Skilled in implementing monitoring, automated testing, reporting more »
