2 of 2 Data Engineering Jobs in Street

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing, mining, BI, and reporting. Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data … Main Purpose Lead and develop a high-performing team of 10-15 Engineers delivering robust, scalable risk reporting solutions globally. Key Responsibilities Mentor an international team focused on risk data ingestion, transformation, and reporting. Act as SME in database and reporting solutions, working with Risk stakeholders to meet business needs. Design innovative, fault-tolerant systems for large-scale data More ❯

Senior Back End Engineer - Golang Data Engineering Team 6-Month Contract £600-£650 per day - Inside IR35 Hybrid - London 3 days/WFH 2 days Our global media and consumer technology client is seeking a Senior Back End Engineer to join their data engineering team for an initial 6-month contract. This role focuses on building … and maintaining sophisticated browser automation and web scraping systems , helping to collect and process data from web platforms at scale. This is a fast-paced, high-impact role suited to experienced engineers who are confident working autonomously and contributing to complex data collection systems with minimal on boarding. The ideal candidate will be available immediately or at short … flexibly as needed to help clear a growing backlog of work. Key Responsibilities Develop and maintain large-scale web scraping systems using headless browsers and automation frameworks Build robust data extraction pipelines that can handle dynamic web content and complex user interactions Design and implement browser automation workflows for data collection across multiple web platforms Create tools for More ❯