3 of 3 Remote/Hybrid Azure Data Factory Jobs in Scotland

Data Architect

Location
Glasgow, Scotland, United Kingdom
Data Architect is responsible for designing, building, and managing the data warehouse’s data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a crucial role in shaping our data strategy, working across multiple departments to design … implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud ...

Lead Data Architect (Grade M1)

Location
City of Edinburgh, Scotland, United Kingdom
Lead Data Architect (Grade M1) Application Deadline: 27 September 2026 Department: Corporate Services Employment Type: Permanent - Full Time Location: Edinburgh - Hybrid Compensation: Grade M1 £66,924 to £78,930. Civil Service Pension with Employer Contribution of 28.97%. Flexible Working Hours. Hybrid Working. Description Our ambition … architecture design. Experience designing data architecture for modern cloud-based data platforms, data integration patterns, preferably with Microsoft Azure ecosystem and Microsoft Fabric. Experience aligning data architecture decisions with organisational strategy, ensuring data models, standards and approaches support ...

SW Engineer III - Data Analytics & Insights

Location
Dundee, Scotland, United Kingdom
optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. Title: SW Engineer III - Data Analytics & Insights Location: Dundee (Hybrid) Grade: 11 Salary: £48,000 p/a (DOE) Key Areas of Responsibility Design, develop, and maintain enterprise reporting … analytics solutions using Microsoft Power BI and Microsoft Fabric. Build scalable data models, semantic models, dashboards, and self-service reporting capabilities. Develop Python-based data processing and automation solutions to ingest, transform, validate, and analyze large datasets. Collaborate with engineering and business stakeholders to identify performance ...