2 of 2 Permanent Snowflake Data Engineer Jobs in Central London

Data Engineer – Azure/Databricks/Snowflake 📍 Remote (UK/EU based) | ⏳ 6–12 months | 💷 Competitive Day Rate We are supporting a leading client in Financial Services who are at the early stages of building a new enterprise Data Lake on Azure Cloud . To deliver this programme, we’re looking for experienced Contract Data Engineers with proven expertise in Databricks and Snowflake , available for immediate engagement. The role: Design, build, and optimise data pipelines and ETL processes on Azure Databricks Implement scalable, high-performance data models in Snowflake Work closely with architects and stakeholders to define data architecture, storage, and integration patterns Contribute to the build of a … secure, production-ready Data Lake from the ground up Support best practices across data quality, governance, and CI/CD You will bring: Strong commercial experience as a Data Engineer End-to-end project exposure, ideally from greenfield/early-stage Data Lake builds Deep hands-on knowledge of Databricks (Spark, Delta Lake, ML pipelines More ❯

You will join a successful international insurance company who specialise in commercial insurance and reinsurance products. My client is looking for an experienced Senior Data Engineer to play a pivotal role in designing and implementing next-generation data warehousing solutions, with a focus on Snowflake and AWS technologies. This is a fantastic opportunity to shape the … future of data architecture and drive innovation in a dynamic, collaborative environment. Main Responsibilities: Lead the modernisation journey to Snowflake-based data warehousing solutions within an AWS environment. Design and implement scalable, secure, and cost-efficient data solutions using AWS services such as Glue, Lambda, S3, Redshift, and Step Functions. Develop robust data pipelines and … analytics platforms, ensuring high availability, performance, and maintainability. Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring. Mentor and support team members through code reviews, pair programming, and knowledge sharing. Collaborate with stakeholders, product owners, and developers to ensure alignment between requirements and data solutions. Benefits: Hybrid working (approximately 2 days a More ❯