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- Tasks: Lead a team of engineers and drive exciting data projects in a fast-growing FinTech.
- Company: Join a UK FinTech Unicorn with a vibrant and innovative culture.
- Benefits: Competitive salary up to £140k, bonuses, stock options, and hybrid working.
- Why this job: Make a real impact by shaping the future of data systems in finance.
- Qualifications: 2+ years in a leadership role with skills in Python, SQL, and cloud technologies.
- Other info: Dynamic environment with opportunities for career advancement and personal growth.
The predicted salary is between 96000 - 120000 £ per year.
We are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you will be leading a team of up to 6 engineers, helping set the technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems.
Key skills and experience:
- 2+ years of experience in a Leadership role
- Python/SQL
- DBT, BigQuery, Airflow
- AWS/GCP, Terraform
- Data warehousing
- ETL
- Hybrid working with offices based in Central London
Base salary of £120k-£140k + Bonus up to 15% and stock options.
Lead Data Engineer - FinTech - Up to 140k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - FinTech - Up to 140k
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space, especially those who work with data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, SQL, and any tools like DBT or Airflow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've led teams and tackled challenges in data engineering. Confidence is key!
✨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 get noticed by our hiring team.
We think you need these skills to ace Lead Data Engineer - FinTech - Up to 140k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, SQL, and any relevant tools like DBT and Airflow. We want to see how your skills align with what we're looking for!
Showcase Leadership Experience: Since this is a leadership position, don’t forget to showcase your experience leading teams. Share specific examples of how you've guided engineers and set technical direction in previous roles. We love seeing that kind of initiative!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about joining our FinTech Unicorn and how you can contribute to our data function. Let your personality come through – we want to get to know you!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, DBT, Airflow, and BigQuery. Brush up on your knowledge of AWS and GCP too, as these are crucial for the role. Being able to discuss how you've used these technologies in past projects will show your expertise.
✨Show Leadership Skills
Since this is a leadership position, be prepared to share examples of how you've led teams in the past. Discuss your approach to mentoring engineers and how you’ve set technical direction in previous roles. This will demonstrate your capability to lead a team effectively.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Engage with Stakeholders
This role involves collaboration with various stakeholders, so be ready to discuss how you’ve worked with different teams in the past. Highlight your communication skills and how you ensure everyone is aligned on project goals. This will show you can bridge the gap between technical and non-technical teams.
