Salary: £41,000 - 71,500 per year Requirements: Strong hands-on experience with Snowflake and Databricks in production environments Proficiency in Python and SQL Experience with Kafka and modern data pipeline frameworks Solid understanding of data modelling, big data, and analytics principles Familiarity with Git-based development workflows Experience with Power BI, Grafana, or similar tools Strong communication skills and ability to work across cross-functional teams Responsibilities: Integrate diverse data sources into enterprise platforms such as Snowflake and Databricks Design scalable, high-performance data models for analytics and AI use cases Build and maintain robust ETL/ELT pipelines using modern tooling Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions Support AI/ML inference pipelines and data workflows Produce clear documentation covering data flows, schemas, and integration patterns Monitor and optimise data performance, resolving issues as needed Technologies: AI Big Data Databricks ETL Git Grafana Support Kafka Power BI Python SQL Snowflake UX UI Design More: We are seeking a skilled ENS UX & Data Integration Engineer to join our high-performing enterprise technology team in Glasgow. This is a hybrid role requiring 3 days onsite. Over a 12-month contract, you will have the opportunity to work at the intersection of data engineering, platform integration, and user experience to support advanced analytics and AI-driven solutions. This is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement. last updated 19 week of 2026