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- Tasks: Lead a team to create scalable data products for lending and analytics.
- Company: Top fintech company in Greater London with a focus on innovation.
- Benefits: High-ownership environment, competitive salary, and opportunities for growth.
- Why this job: Shape the future of data engineering and make a real impact.
- Qualifications: 7+ years in data engineering and strong leadership skills required.
- Other info: Join a dynamic team and drive innovation from the ground up.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech company in Greater London is seeking a Lead Data Engineer to set the technical direction for a mission-critical data function. This role involves leading a squad of engineers to develop scalable data products that aid lending and analytics teams.
Ideal candidates should possess over 7 years of data engineering experience and strong leadership skills, along with expertise in modern data infrastructure like GCP and DBT.
The company offers a high-ownership environment to innovate from the ground up.
Lead Data Engineer: Architect of Scalable Data Platforms employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Architect of Scalable Data Platforms
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a Lead Data Engineer role or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving scalable data platforms. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership skills and technical knowledge. Be ready to discuss how you've led teams in the past and tackled challenges in data engineering, particularly with tools like GCP and DBT.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Lead Data Engineer: Architect of Scalable Data Platforms
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your 7+ years of data engineering experience. We want to see how you've tackled challenges and led teams in the past, so don’t hold back on those details!
Tailor Your Application: Take a moment to customise your application for this role. Mention your expertise in GCP and DBT specifically, as we’re looking for someone who can hit the ground running with modern data infrastructure.
Demonstrate Leadership Skills: Since this role involves leading a squad of engineers, it’s crucial to showcase your leadership skills. Share examples of how you’ve guided teams or projects in the past, and how you foster innovation and collaboration.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends and technologies, especially GCP and DBT. Brush up on your past projects and be ready to discuss how you've used these tools to build scalable data platforms.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed projects or mentored junior engineers, highlighting your leadership style and decision-making process.
✨Understand the Business Impact
Familiarise yourself with the fintech industry and how data products can drive lending and analytics. Be prepared to discuss how your work can directly contribute to business goals and improve operational efficiency.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and the challenges they face. This shows your genuine interest and helps you assess if the company is the right fit for you.
