Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the vision for data engineering and build a high-performing team.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Competitive salary, leadership opportunities, and a dynamic work environment.
- Why this job: Shape the future of data products and drive real business impact.
- Qualifications: Proven leadership in data engineering and strong collaboration skills.
- Other info: Be part of a transformative journey in data analytics and AI.
The predicted salary is between 43200 - 72000 £ per year.
In this pivotal senior leadership role, you’ll shape and deliver the engineering vision behind our data products, pipelines, and platforms. You’ll build a high‑performing team, drive DataOps maturity, and ensure our data ecosystem is reliable, scalable, secure, and ready for advanced analytics and AI.
You’ll collaborate closely with leaders across Data Products, Data Governance, AI & Data Science, IT Architecture, and IT Platforms to create real business value - from airport operations to passenger experience.
Head of Data Engineering in London employer: Heathrow Airport
Contact Detail:
Heathrow Airport Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with leaders on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your previous successes in data engineering. This will help you stand out and demonstrate your ability to deliver real business value.
✨Tip Number 3
Ace the interview by being ready to discuss your vision for data engineering. Think about how you would drive DataOps maturity and ensure a reliable data ecosystem. We want to see your passion and strategic thinking!
✨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 brand.
We think you need these skills to ace Head of Data Engineering in London
Some tips for your application 🫡
Show Your Leadership Skills: In your application, make sure to highlight your experience in building and leading high-performing teams. We want to see how you've driven DataOps maturity and shaped engineering visions in your previous roles.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to our job description. Make sure to align your skills and experiences with the specific requirements of the Head of Data Engineering role.
Demonstrate Collaboration: Since this role involves working closely with various teams, share examples of how you’ve successfully collaborated with different departments in the past. We’re looking for someone who can bridge gaps and create real business value.
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 shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Heathrow Airport
✨Understand the Engineering Vision
Before your interview, dive deep into the company's data products and engineering vision. Familiarise yourself with their current data ecosystem and think about how you can contribute to making it more reliable and scalable.
✨Showcase Leadership Skills
As a Head of Data Engineering, you'll need to build and lead a high-performing team. Prepare examples of how you've successfully led teams in the past, focusing on your approach to fostering collaboration and driving DataOps maturity.
✨Collaborate Across Departments
This role requires close collaboration with various departments. Be ready to discuss how you've worked with cross-functional teams in the past, particularly in areas like Data Governance and AI & Data Science, to create business value.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines, platforms, and advanced analytics. Brush up on your knowledge of the latest technologies and methodologies in data engineering, and be prepared to discuss how you would implement them in this role.
