Engineering Manager

Engineering Manager – Data & AI – London (Hybrid) – Up to £110k

Lead the delivery of modern Data & AI initiatives on the Azure and Microsoft stack.

Key responsibilities

• Lead globally distributed engineering teams, driving clarity, consistency and strong outcomes
• Embed engineering standards, sprint discipline and predictable delivery rhythms
• Coach and develop engineering leads to strengthen internal capability
• Align priorities and unblock delivery across multiple teams
• Oversee vendor-led engineering delivery, ensuring quality and value for money
• Own service stability, including Level 2/3 support practices and smooth service transitions
• Champion continuous improvement across tooling, processes and engineering maturity

Team collaboration

• Global engineering teams across Data Platforms, Power Platform and Collaboration tools
• Senior stakeholders across Digital Transformation, IT, Product and Project teams
• External delivery partners and vendors
• A modern Microsoft and Azure ecosystem including Databricks, Fabric, Azure, Power Apps, Power Automate, SharePoint and Azure DevOps

Benefits

• 8% employer pension contribution
• 25 days annual leave plus holiday purchase options
• Enhanced parental leave
• Flexible benefits including gym discounts, cycle‑to‑work scheme and season ticket loans

Required experience

• Proven experience leading multi‑disciplinary engineering teams
• Strong background working across multi‑vendor delivery models
• Solid understanding of Agile delivery, sprint planning and delivery assurance
• Broad technical knowledge of Azure, Databricks, Fabric, Power Platform, SharePoint and DevOps
• Experience scaling teams and maturing engineering functions
• Confident communicator with strong senior stakeholder management skills
• Azure certifications beneficial (degree desirable but not essential)

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