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- Tasks: Lead a high-performing team to shape and deliver data engineering vision.
- Company: Major international airport in Greater London with a focus on innovation.
- Benefits: Hybrid working, excellent benefits, and a flexible work-life balance.
- Why this job: Drive DataOps maturity and make a significant impact in a dynamic environment.
- Qualifications: Extensive experience in cloud-native data engineering, especially Microsoft Azure.
- Other info: Opportunity to lead in a complex environment with career growth potential.
The predicted salary is between 54000 - 84000 £ per year.
A major international airport in Greater London is seeking a senior leader for data engineering to shape and deliver engineering vision. The role involves managing a high-performing team and driving DataOps maturity. Candidates must have extensive experience in cloud-native data engineering, particularly in Microsoft Azure, and proven leadership in complex environments. The position offers hybrid working and excellent benefits, ensuring a flexible work-life balance.
Head of Data Engineering — Scale DataOps & AI Platforms in London employer: Heathrow
Contact Detail:
Heathrow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering — Scale DataOps & AI Platforms in London
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering field, especially those who work in similar environments. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with cloud-native data engineering and DataOps. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating your leadership experience and how you've driven DataOps maturity in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Head of Data Engineering — Scale DataOps & AI Platforms in London
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your extensive experience in cloud-native data engineering, especially with Microsoft Azure. We want to see how your background aligns with the role and how you can drive DataOps maturity.
Leadership Matters: Don’t forget to showcase your proven leadership skills! Share examples of how you've managed high-performing teams in complex environments. We’re looking for someone who can inspire and guide others, so let that shine through in your application.
Tailor Your Application: Make your application stand out by tailoring it specifically to this role. Use the job description as a guide and reflect on how your skills and experiences match what we’re looking for. This shows us you’re genuinely interested in the position!
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 don’t miss any important updates. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Heathrow
✨Know Your Data Engineering Stuff
Make sure you brush up on your cloud-native data engineering skills, especially with Microsoft Azure. Be ready to discuss specific projects you've worked on and how you've driven DataOps maturity in previous roles.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience in complex environments. Think about how you've managed teams, resolved conflicts, and fostered a high-performing culture. This is your chance to shine as a senior leader!
✨Understand the Company’s Vision
Research the airport's current data initiatives and their overall vision for data engineering. Being able to align your experience with their goals will show that you're genuinely interested and can contribute meaningfully.
✨Ask Insightful Questions
Prepare thoughtful questions about their DataOps processes and future plans for AI platforms. This not only demonstrates your interest but also gives you a clearer picture of how you can fit into their team and drive success.
