Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of robust data platforms and implement efficient data pipelines.
- Company: Made Tech, a forward-thinking company transforming public sector data usage.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real difference by empowering organisations to become data-led.
- Qualifications: Experience in data engineering and strong leadership skills.
- Other info: Join a passionate team dedicated to breaking down data silos.
The predicted salary is between 36000 - 60000 £ per year.
As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-led, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embed them into delivery teams. You'll also help implement efficient data pipelines.
Lead Data Engineer employer: Made Tech
Contact Detail:
Made Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at meetups. We can’t stress enough how valuable personal connections can be in landing that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects and pipelines. We want to see what you can do, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you’ve implemented data solutions in the past. We believe that confidence and preparation can really set you apart.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re always on the lookout for passionate candidates who want to make a difference in the public sector.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data platforms and pipelines. We want to see how you've helped organisations become data-led, so don’t hold back on those achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission at Made Tech. Keep it engaging and relevant!
Showcase Your Technical Skills: We’re looking for someone who knows their stuff! Be sure to include specific technologies and methodologies you’ve worked with in your application. This helps us see how you fit into our team.
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 Made Tech
✨Know Your Data Inside Out
As a Lead Data Engineer, you need to be well-versed in data platforms and pipelines. Brush up on your knowledge of the latest technologies and methodologies in data engineering. Be ready to discuss specific projects where you've implemented robust data solutions.
✨Showcase Your Team Spirit
Since you'll be working closely with delivery teams, it's crucial to demonstrate your collaborative skills. Prepare examples of how you've successfully worked in teams to break down data silos and share knowledge. Highlight your ability to communicate complex data concepts clearly.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data architecture. Practice explaining your thought process when designing data pipelines or troubleshooting issues. Use real-world scenarios to illustrate your expertise.
✨Align with Their Mission
Made Tech is focused on helping public sector organisations become data-led. Research their projects and values, and think about how your experience aligns with their mission. Be prepared to discuss how you can contribute to their goal of embedding data knowledge into teams.
