6 Semantic Layer Jobs

Maintain effective, and appropriate documentation that brings transparency and understandability to pipelines created and code created. Create high complexity BI solutions including data mart, semantic layer, 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 »

of data engineers, data analysts, and BI report developers. Your main objective is to build and manage a comprehensive data repository designed as a semantic layer on Snowflake to meet the varied needs of front office stakeholders, systems, and clients. This position reports directly to the Head of … and best practices. Key responsibilities include: Oversee the development and maintenance of a robust data repository on Snowflake, ensuring it serves as an effective semantic layer for aggregating and organizing data for access and analysis by Investments and Technology teams. Develop and implement a data consumption strategy, including … Strong background in data architecture and engineering, ideally within the finance or investment sector. Deep knowledge of Databricks, Snowflake and its application as a semantic layer for data repositories. Practical understanding of core investments data domains across Equity, Fixed Income, and Alternatives. Proven ability to lead and develop more »

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 »

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 »