2 of 2 Permanent Data Transformation Jobs in Glasgow

Data Engineering Manager Location : Glasgow, UK Salary : Competitive Salary + Package (dependent on experience) Career Level: (Accenture will be recruiting at the following levels : Manager) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership … with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: We have exciting opportunities for a Data Engineering Senior Manager to join our Data & AI practice, part of larger Cloud First Group. We deliver scalable, business critical and end-to-end solutions for our client … from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways If you’re looking for a challenging career working More ❯

Data Operations Manager Hybrid - two days per week onsite in Glasgow £75k - £85k + bonus & benefits Step into a newly defined data operations management position at the centre of a major data transformation. You’ll lead a small, capable team responsible for the reliability, performance, and observability of modern data platforms that power decisions across a … complex, regulated organisation. This is a hands-on leadership role, part strategist, part problem-solver - shaping how data operations are delivered across a modern cloud environment (AWS and Azure). If you thrive on improving how data pipelines run, building resilient systems, and driving operational excellence, this is your chance to make a visible impact in a high … profile business. What You’ll Do Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring. Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation. Define and embed support models and operational standards for new data products and APIs. Guide More ❯