Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of scalable data platforms and mentor fellow engineers.
- Company: Top insurance tech company in London with a focus on innovation.
- Benefits: Attractive salary, flexible hybrid work, and personal development opportunities.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: 5+ years in data engineering with skills in Python, SQL, and AWS.
- Other info: Collaborative environment with great potential for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance technology company in London seeks a Lead Data Engineer to enhance its data platform. The role involves technical leadership, creating scalable data systems, and mentoring other engineers.
Ideal candidates have over 5 years of experience in data engineering and proficiency in Python, SQL, and AWS. This hybrid position promotes collaboration while allowing flexibility of home-working. Competitive salary and benefits are included, along with opportunities for personal development.
Lead Data Engineer: Scale Data Platforms & Mentor Engineers employer: Zego
Contact Detail:
Zego Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Scale Data Platforms & Mentor Engineers
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at companies you're interested in. A friendly chat can lead to referrals and insider info that could give you the edge.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, SQL, and AWS. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Engineer: Scale Data Platforms & Mentor Engineers
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data engineering. We want to see how you've tackled challenges and built scalable data systems in your previous roles.
Be Specific About Your Skills: When mentioning your proficiency in Python, SQL, and AWS, give us examples of projects where you used these skills. We love seeing real-world applications of your expertise!
Emphasise Leadership and Mentoring: Since this role involves mentoring other engineers, share any experiences you have in leading teams or guiding junior engineers. We’re keen on candidates who can inspire and uplift others.
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 out on any important updates from us!
How to prepare for a job interview at Zego
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and AWS skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring other engineers, be prepared to share examples of how you've led teams or guided colleagues in the past. Highlight your approach to fostering collaboration and growth within a team.
✨Understand the Company’s Vision
Research the insurance technology company and understand their goals and values. This will help you align your answers with what they’re looking for and show that you're genuinely interested in contributing to their mission.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their data platform's current challenges or future projects. This not only shows your interest but also gives you a chance to demonstrate your expertise in data engineering.
