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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 60000 - 84000 £ 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space and let them know you're on the hunt for a Lead Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving GCP and DBT. This will give potential employers a taste of what you can bring to their team and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership skills. Be ready to discuss how you've led teams in the past and how you can inspire others to innovate in a high-ownership environment. We want to see that you can not only build data platforms but also build strong teams!
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Lead Data Engineer: Architect of Scalable Data Platforms in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 7+ years of data engineering experience in your application. 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: When applying, customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We love seeing candidates who take the time to align their background with what we’re looking for.
Be Clear About Your Leadership Style: Since this role involves leading a squad of engineers, share your leadership philosophy and any relevant experiences. We’re keen to understand how you inspire and guide your team towards success.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering fundamentals, especially around scalable data platforms. Be ready to discuss your experience with GCP and DBT, as well as any projects where you've led a team to success.
✨Show Off Your Leadership Skills
Since this role involves leading a squad of engineers, be prepared to share examples of how you've successfully managed teams in the past. Highlight your approach to mentoring and guiding others, and how you foster a collaborative environment.
✨Understand the Company’s Mission
Research the fintech company and understand their mission-critical data function. Be ready to discuss how your skills can contribute to their goals, particularly in aiding lending and analytics teams with innovative data products.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview that show your interest in the role and the company. Inquire about their current data challenges or how they envision the future of their data infrastructure, which will demonstrate your strategic thinking.
