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 »
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 »
