Data Integration Engineer
other jobs McGregor Boyall
Added before 6 Days
- Scotland,Glasgow City
- Full Time, Contract
- Salary negotiable
Job Description:
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.
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.
Job number 3655107
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Company Details:
McGregor Boyall
Company size: 100–249 employees
Industry: Recruitment Consultancy
Established in 1987, McGregor Boyall is a global recruitment consultancy providing permanent and contract / interim professionals across a wide variet...