At a Glance
- Tasks: Lead global engineering teams in data platforms and AI delivery.
- Company: Join a forward-thinking tech company focused on innovation.
- Benefits: Competitive salary, remote work options, and professional growth opportunities.
- Other info: Dynamic role with a focus on continuous improvement and collaboration.
- Why this job: Shape the future of data and AI while driving impactful projects.
- Qualifications: Experience in leading engineering teams and cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking an experienced Senior Engineering Manager to lead globally distributed engineering teams within a Data & AI function, driving delivery across modern cloud and productivity platforms. This role is central to ensuring high-quality, predictable engineering outcomes while building strong capability across internal teams and external delivery partners.
About the Role
You will lead engineering squads responsible for data platforms, collaboration tooling, and low-code solutions, working across technologies such as Databricks, Microsoft Fabric, Azure, Power Apps, Power Automate, SharePoint, and Azure DevOps. The role is focused on enabling stable delivery, strong engineering practices, and continuous improvement across a complex, multi-vendor environment.
Key Responsibilities
- Lead and develop global engineering teams across data platform, SharePoint, and Power Apps domains
- Establish consistent engineering standards, sprint discipline, and delivery practices
- Partner with Product, IT, and Digital Transformation teams to align priorities and delivery goals
- Oversee external vendors to ensure quality, consistency, and value for money
- Drive operational stability, including Level 2/3 support and service transition readiness
- Build internal capability through coaching, mentoring, and structured development
- Improve engineering efficiency across Databricks, Fabric, Azure, and broader tooling ecosystems
- Champion a culture of continuous improvement, accountability, and collaboration
What You Bring
- Proven experience leading multi-disciplinary engineering teams in complex delivery environments
- Strong background in data engineering, cloud platforms, or enterprise platform engineering
- Hands‑on familiarity with Azure ecosystem, Databricks, and Microsoft Power Platform tools
- Experience managing multi‑vendor delivery models
- Strong stakeholder management and communication skills at senior levels
- Ability to build predictable delivery rhythms across multiple squads
- Experience scaling engineering capability and maturing engineering practices
Desirable
- Azure certifications
- Experience in data management, QA, or analytic disciplines
- Background in enterprise‑scale digital or platform transformation
What Success Looks Like
You will create a high‑performing engineering environment where teams deliver consistently, platforms operate reliably, and continuous improvement is embedded into everyday practice.
Global Data Platform & AI Delivery Leader employer: Energy Jobline ZR
As a Global Data Platform & AI Delivery Leader, you will thrive in an innovative and collaborative work culture that prioritises continuous improvement and professional growth. Our commitment to employee development is reflected in our structured coaching and mentoring programmes, ensuring you have the tools and support needed to excel in your role. Located in a dynamic environment, we offer competitive benefits and the opportunity to work with cutting-edge technologies, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Global Data Platform & AI Delivery Leader
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with data platforms and cloud technologies. It’s a great way to stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to engineering management and cloud platforms. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can drive delivery and improve engineering practices. Your next big opportunity could be just a click away!
We think you need these skills to ace Global Data Platform & AI Delivery Leader
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Global Data Platform & AI Delivery Leader role. Highlight your experience in leading engineering teams and working with cloud platforms like Azure and Databricks.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've driven delivery in complex environments and improved engineering practices in your previous positions.
Showcase Your Leadership Skills:In your application, emphasise your ability to lead multi-disciplinary teams and manage vendor relationships. We want to see how you've built strong capabilities and fostered collaboration in your past roles.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, Databricks, and Power Apps. Brush up on your knowledge of cloud platforms and data engineering principles, as you’ll likely be asked to discuss how you’ve used these tools in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading multi-disciplinary teams. Think about specific challenges you faced and how you fostered collaboration and accountability within your teams. This role is all about driving delivery, so demonstrate your ability to create a high-performing environment.
✨Understand the Bigger Picture
Familiarise yourself with the company’s goals and how the Data & AI function fits into their overall strategy. Be ready to discuss how you can align engineering practices with business objectives and improve operational stability across various platforms.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current challenges in engineering delivery or how they measure success in their teams. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
