Data Integration Engineer

ENS UX & Data Integration Engineer

Location - Glasgow (Hybrid / 3 days onsite, non-negotiable) Duration - 12-month contract

Day rate - circa £450 PAYE

We 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 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

Required Skills & Experience

• 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

This 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.