Data Integration Engineer
McGregor Boyall Associates Ltd.
Glasgow, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Glasgow, United Kingdom
Tech stack
Artificial Intelligence
Data analysis
Big Data
Information Engineering
Data Integration
ETL
Python
Power BI
Standard Sql
Data Streaming
Systems Integration
Snowflake
Grafana
GIT
Kafka
Data Management
Data Pipelines
Databricks
Job description
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., * 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
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
This is an excellent opportunity to contribute to enterprise-scale data platforms within a dynamic, fast-paced environment focused on innovation and continuous improvement.
