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- Tasks: Lead a team of engineers to deliver high-quality data solutions and mentor talent.
- Company: Join Capital One, a leader in AI-driven data platforms.
- Benefits: Enjoy hybrid work, core benefits, and growth opportunities.
- Other info: Dynamic role with a focus on personal and professional development.
- Why this job: Make an impact in a collaborative environment while shaping the future of data.
- Qualifications: Proven experience in software engineering and team leadership.
The predicted salary is between 60000 - 80000 £ per year.
Capital One is seeking an experienced Software Engineering Manager in Nottingham to lead a team of eight engineers focusing on Data capabilities. Responsibilities include mentoring engineers, managing technical risks, and delivering high-quality data solutions in a complex regulatory environment.
The role offers a hybrid working model, immediate access to core benefits, and opportunities for personal and professional development in a collaborative setting.
Data Engineering Manager — AI-Driven Data Platform Lead in Nottingham employer: Capital One
Contact Detail:
Capital One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager — AI-Driven Data Platform Lead in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Capital One on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role is all about data capabilities, make sure we can confidently discuss data solutions and regulatory challenges.
✨Tip Number 3
Show off your leadership skills! Be ready to share examples of how we've mentored teams or managed technical risks. This will highlight our fit for the Software Engineering Manager role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the team at Capital One.
We think you need these skills to ace Data Engineering Manager — AI-Driven Data Platform Lead in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and team leadership. We want to see how you've managed technical risks and delivered high-quality solutions, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Engineering Manager role. Share your passion for mentoring engineers and how you thrive in collaborative environments like ours.
Showcase Relevant Experience: When filling out your application, be specific about your past roles and achievements. We love seeing concrete examples of how you've led teams and tackled challenges in complex regulatory settings.
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 with StudySmarter!
How to prepare for a job interview at Capital One
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts and the specific technologies Capital One uses. Brush up on your knowledge of AI-driven data platforms, as this will show your expertise and readiness to lead a team.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully mentored engineers in the past. Highlight your experience in managing technical risks and delivering high-quality solutions, as these are key responsibilities for the role.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory environment that Capital One operates in. Being able to discuss how you’ve navigated compliance issues in previous roles will demonstrate your capability to manage challenges in this area.
✨Emphasise Collaboration
Since the role involves working in a collaborative setting, be ready to discuss how you foster teamwork and communication within your team. Share specific instances where collaboration led to successful project outcomes.