At a Glance
- Tasks: Lead global engineering teams in delivering innovative Data & AI projects on Azure.
- Company: Join a forward-thinking company at the forefront of technology.
- Benefits: Enjoy 25 days leave, gym discounts, and an 8% pension contribution.
- Other info: Flexible working environment with opportunities for professional growth.
- Why this job: Make a real impact by driving engineering excellence and innovation.
- Qualifications: Experience leading diverse teams and a solid understanding of Agile methodologies.
The predicted salary is between 110000 - 110000 £ per year.
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).
Engineering Manager employer: Cyber Security training courses
As an Engineering Manager at our London office, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. We offer competitive benefits, including an 8% employer pension contribution and flexible working options, ensuring a healthy work-life balance. With ample opportunities for professional growth and development, you will lead cutting-edge Data & AI initiatives while being supported by a globally distributed team dedicated to excellence.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure and AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with multi-disciplinary teams and Agile delivery. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers, especially around leadership and stakeholder management. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Engineering Manager role. Highlight your experience with Azure, Agile delivery, and leading engineering teams. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about Data & AI and how you can drive success in our global teams. Keep it engaging and relevant to the job description.
Showcase Your Leadership Skills:We’re looking for someone who can lead and inspire teams. In your application, share specific examples of how you've coached engineering leads or improved team performance. This will help us see your potential impact!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Stack
Make sure you’re well-versed in the Azure and Microsoft stack, especially tools like Databricks, Fabric, and Power Platform. Brush up on your knowledge of how these technologies integrate and support data initiatives, as this will show your technical prowess and readiness to lead.
✨Demonstrate Leadership Experience
Prepare examples that showcase your experience leading multi-disciplinary engineering teams. Highlight specific instances where you drove clarity and consistency, and how you coached team members to achieve strong outcomes. This will help illustrate your capability to manage and develop talent.
✨Emphasise Agile Methodologies
Since the role requires a solid understanding of Agile delivery, be ready to discuss your experience with sprint planning and delivery assurance. Share how you've implemented Agile practices in past roles and the impact it had on project success.
✨Engage with Stakeholders
Practice articulating your communication style and how you manage relationships with senior stakeholders. Be prepared to discuss how you align priorities and unblock delivery across teams, as this is crucial for the role. Showing that you can effectively collaborate will set you apart.
