At a Glance
- Tasks: Lead global engineering teams in data platforms and low-code solutions.
- Company: Dynamic tech company focused on Data & AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a culture of continuous improvement and collaboration.
- Why this job: Shape the future of data engineering and drive impactful projects.
- Qualifications: Experience in leading engineering teams and strong cloud platform knowledge.
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.
Senior Data Engineering Manager in London employer: Energy Jobline ZR
As a Senior Data Engineering Manager in London, you will join a forward-thinking company that prioritises innovation and collaboration within its globally distributed engineering teams. The organisation fosters a dynamic work culture that encourages continuous improvement and professional growth, offering ample opportunities for skill development and career advancement. With a focus on cutting-edge technologies and a commitment to operational excellence, this role provides a unique chance to make a significant impact in the field of Data & AI while enjoying the vibrant atmosphere of London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure or Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements in data engineering. This is your chance to demonstrate your hands-on experience with cloud platforms and low-code solutions, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management and communication skills. Be ready to discuss how you've led teams and improved engineering practices in previous roles. We want to see your leadership shine!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Senior Data Engineering Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Engineering Manager role. Highlight your leadership in multi-disciplinary teams and any hands-on experience with Azure, Databricks, or Power Platform tools.
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 Achievements:Quantify your successes! Whether it’s improving delivery times or enhancing team performance, use numbers to back up your claims. This helps us see the impact you've made in your past roles.
Apply Through Our Website:We encourage you to apply directly 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!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Azure, and Power Apps. Brush up on your knowledge of these platforms and be ready to discuss how you've used them in past projects.
✨Showcase Leadership Experience
Prepare examples that highlight your experience leading multi-disciplinary teams. Think about specific challenges you faced and how you drove your team towards success, especially in complex delivery environments.
✨Understand Stakeholder Management
Be ready to talk about your approach to managing stakeholders at senior levels. Share instances where you aligned priorities with Product, IT, or Digital Transformation teams to achieve delivery goals.
✨Emphasise Continuous Improvement
Discuss how you’ve championed a culture of continuous improvement in your previous roles. Provide concrete examples of how you’ve implemented engineering standards or improved efficiency across teams and tools.
