specific and direct focus on adding to and improving our Power BI environment. Key Accountabilities: Work with Azure Data Factory to build and maintain ETL solutions. To assist with the organising and managing of the data in the data warehouses. Build and amend Power BI reports and dashboards. Optimise current more »
Senior Datawarehouse Engineer A leading financial services corporation is currently recruiting a Senior Datawarehouse Engineer with strong capabilities in ETL design/ETL development utilising SSIS/SQL. This is a challenging post where you will write functional specification & technical design specification document for developers to enable the development and … in Chatham or Wolverhampton. The key purpose of this role is to deliver new, and changes to existing data solutions, data extraction andtransform (ETL) for identified and agreed business requirements, providing accurate and timely information in support of business needs through projects and programmes. Core responsibilities: Leading solutions for … pipeline of BI environments. Provide support for the scoping and delivery of BI capability to internal users. Experience requirements: 5 years Data Engineering/ETL development experience (must have) Experience working within a regulated environment (must have) 5 years data design experience in an MI/BI/Analytics environment more »
and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address … innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with more »
and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address … innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with more »
and processes, including data acquisition, storage, integration, quality assurance, and lifecycle management. Data Analytics: Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modelling and forecasting. Collaborate with business stakeholders to understand their analytical needs and develop solutions to address … innovation. Deep understanding of data governance principles, regulatory compliance requirements (e.g., GDPR, CCPA), and industry best practices. Strong technical proficiency in data modelling, SQL, ETL tools, data visualization tools (e.g., Tableau, Power BI), and advanced analytics techniques (e.g., machine learning, predictive modelling). Excellent leadership, communication, and interpersonal skills, with more »