2 of 2 Data Development Jobs in the City of London

by Fast Track and published in The Sunday Times each September, celebrates Britain's private mid-market growth companies with the biggest performance. Purpose : We are seeking an experienced Data Engineer to join our growing team. In this role, you will be responsible for overseeing the planning, development, and design of data engineering processes within a customer … facing data warehousing product. This product plays a critical role in delivering analytics solutions for both the State and Commercial sectors. To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse trends in the data for our customers. You will build predictive models and work … with the engineering team to provide further insights to our customers. You will of course be competent in agile data development, with a focus on innovation and positive disruption. You’ll know how to get the best from a customer facing data warehouse solutions and be able to improve the value of data through research and More ❯

Data Engineer - BigQuery Salary: £75,000-£80,000 Role type: Permanent Location: London/Hybrid Our client is seeking a skilled Data Engineer to take the lead in developing and optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting … the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless data ingestion, transformation, and reporting, as well as working with key stakeholders to provide timely and actionable insights. Main Responsibilities Engineering : Developing and maintaining business-critical data ingestion, analysis, and management systems. Utilizing API and … ETL methods to integrate with internal systems. Building tools to minimize errors and improve customer experience. Automating data development and governance to improve data health. Designing procedures for system troubleshooting, capacity management, and scaling infrastructure. Analytics : Developing scripts and data outputs to automate reporting and visualizations. Ensuring timely and easily translatable data delivery for business More ❯