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For Companies At a Glance
- Tasks: Lead a team of data engineers to build innovative data solutions.
- Company: Join a fast-growing FinTech unicorn revolutionising banking.
- Benefits: Competitive salary, equity, generous holidays, and professional development support.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: 7+ years in data engineering and leadership experience required.
- Other info: Collaborative culture focused on innovation and continuous improvement.
The predicted salary is between 84000 - 140000 £ per year.
About the Company
We are a rapidly growing financial technology firm challenging traditional banking models. Our mission is to empower businesses with innovative, data‑driven lending solutions. We believe in leveraging modern technology to build a more efficient and responsive financial ecosystem.
The Opportunity
We are seeking a highly experienced and technically proficient Lead Data Engineer to join our expanding data and analytics team. This is a crucial role where you will be responsible for defining the technical strategy, guiding architectural decisions, and leading a team of talented data engineers. You will be at the forefront of building a scalable and secure data infrastructure that drives our core business functions.
Key Responsibilities
- Set the technical direction and standards for the data engineering function.
- Lead and mentor a squad of 4‑6 data engineers, fostering a culture of innovation and continuous improvement.
- Design, build, and maintain robust data pipelines and data models to support analytics, reporting, and machine learning initiatives.
- Develop and manage a reliable data platform using a modern data stack.
- Enhance data governance, security, and quality across the organization.
- Implement a "you build it, you run it" DevOps culture, taking ownership of the entire lifecycle of your team's services.
Skills and Experience
- Minimum of 7 years of professional experience in data engineering.
- At least 2 years of experience in a technical leadership or management role.
- Deep expertise in modern data stacks and cloud environments, with hands‑on experience in tools such as:
- Data transformation: DBT (Data Build Tool)
- Data warehousing: BigQuery or similar
- Workflow orchestration: Airflow
- Infrastructure as Code: Terraform
- Cloud Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS)
What We Offer
- A competitive salary and equity package.
- Comprehensive benefits, including generous holiday allowance and enhanced family leave policies.
- Support for professional development and continuous learning.
- A collaborative and dynamic work environment.
Apply If you're a Data Engineer and this opportunity looks interesting then please apply and we will be in touch with more details.
Data Engineer, Lead employer: Twelve
Contact Detail:
Twelve Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer, Lead
✨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 a Lead Data Engineer role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving modern data stacks and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've set technical direction and mentored teams in the past—this is key for a Lead role!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you who are eager to join our innovative team.
We think you need these skills to ace Data Engineer, Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with modern data stacks and any leadership roles you've held. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our innovative team. Let us know why you're excited about working in the FinTech space.
Showcase Your Technical Skills: Be specific about your technical expertise, especially with tools like DBT, BigQuery, and cloud platforms. We love seeing hands-on experience, so don’t hold back on the details that demonstrate your capabilities!
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 this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Twelve
✨Know Your Tech Stack
Make sure you’re well-versed in the modern data stack mentioned in the job description. Brush up on your skills with DBT, BigQuery, Airflow, and Terraform. Being able to discuss your hands-on experience with these tools will show that you’re not just familiar but truly proficient.
✨Showcase Leadership Experience
Since this role involves leading a team, be prepared to share specific examples of how you've mentored others or led projects. Highlight your approach to fostering innovation and continuous improvement within your team, as this aligns perfectly with what they’re looking for.
✨Demonstrate Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, particularly in building data pipelines or managing data governance. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly illustrate your problem-solving abilities.
✨Cultural Fit Matters
Research the company’s mission and values, especially their focus on innovation and responsiveness in the financial ecosystem. Be ready to explain how your personal values align with theirs and how you can contribute to their collaborative and dynamic work environment.
