ENS UX & Data Integration Engineer Location - Glasgow (Hybrid / 3 days onsite, non-negotiable) Duration - 12-month contractDay rate - circa £450 PAYEWe are seeking a skilled ENS UX & Data Integration Engineer to join a high-performing enterprise technology team. This role sits at the intersection of data engineering, platform integration, and user experience-supporting advanced analytics and AI-driven solutions.Key ResponsibilitiesIntegrate diverse data sources into enterprise platforms such as Snowflake and DatabricksDesign scalable, high-performance data models for analytics and AI use casesBuild and maintain robust ETL/ELT pipelines using modern toolingCollaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutionsSupport AI/ML inference pipelines and data workflowsProduce clear documentation covering data flows, schemas, and integration patternsMonitor and optimise data performance, resolving issues as neededRequired Skills & ExperienceStrong hands-on experience with Snowflake and Databricks in production environmentsProficiency in Python and SQLExperience with Kafka and modern data pipeline frameworksSolid understanding of data modelling, big data, and analytics principlesFamiliarity with Git-based development workflowsExperience with Power BI, Grafana, or similar toolsStrong communication skills and ability to work across cross-functional teamsThis is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement.If this seems like a good fit, please apply today!McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. JBRP1_UKTJ