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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