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.