Tenth Revolution Group
Engineering Manager

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Senior Engineering Manager - Data & AI - London (Hybrid) - Azure – Databricks - Microsoft Fabric - Power Platform - Up to £115,000
We're partnering with a leading retail organisation that is investing heavily in Data, AI and digital transformation as part of an ambitious long-term technology strategy. With millions of customers and a strong presence across both retail and eCommerce channels, the business is leveraging data at scale to improve customer experiences, optimise operations and drive innovation across the organisation.
This is an opportunity to join a business where technology is viewed as a strategic enabler, not just a support function. You'll work alongside highly capable technical and business leaders in an environment that encourages innovation, collaboration, and continuous improvement. As Senior Engineering Manager, you'll have the autonomy to influence technical direction, shape modern data platforms and build high-performing engineering teams while delivering solutions that have a genuine impact on the business.
You Will Work With
- Data Engineering, Data Platform, and Power Platform teams operating across multiple locations
- Senior stakeholders across Technology, Product, Digital, Analytics, eCommerce, and Supply Chain
- External technology partners and delivery vendors
- A modern Microsoft technology ecosystem including Azure, Databricks, Microsoft Fabric, Power Apps, Power Automate, SharePoint, Azure DevOps, and AI-driven solutions
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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The Role
- Lead and develop high-performing Data & AI engineering teams
- Act as a senior technical authority across Azure-based data and analytics platforms
- Drive the evolution of enterprise-scale data architecture and engineering standards
- Embed Agile, DevOps, CI/CD, and engineering best practices across multiple teams
- Coach Engineering Leads and senior engineers to build capability and future leadership talent
- Partner with senior stakeholders to align technology delivery with business objectives
- Oversee vendor-led delivery, ensuring quality, governance, and value
- Own platform stability, performance, and operational excellence
- Champion continuous improvement, innovation, and adoption of emerging Data & AI technologies
Benefits
- Salary up to £115,000
- 8% employer pension contribution
- Enhanced annual leave plus holiday purchase scheme
- Enhanced parental leave
- Hybrid and flexible working model
- Learning and professional development support
- Career progression opportunities within a growing technology function
- Retail discounts and employee benefits scheme
- Strong investment in modern technologies and innovation


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Key Experience
- Proven experience leading Data Engineering or Data Platform teams within complex enterprise environments
- Experience managing large-scale engineering programmes and multi-vendor delivery models
- Strong understanding of Agile delivery methodologies, governance, and delivery assurance
- Technical expertise across Azure, Databricks, Microsoft Fabric, Power Platform, SharePoint, and Azure DevOps
- Experience scaling teams and developing engineering capability
- Strong stakeholder management skills with the ability to influence at senior leadership level
- Collaborative leadership style with a passion for engineering excellence
- Azure certifications are advantageous
Interested?
Senior Data & AI leadership opportunities offering this level of ownership, modern technology exposure and strategic influence within a major retail organisation are rare. If you're looking for a role where you can shape the future of Data & AI, lead talented engineering teams, and make a genuine impact on a large-scale transformation programme, apply now!
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